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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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simulating borehole resistivity measurements in a reservoir, it is common to consider an oil-water contact (OWC) planar interface. However, this consideration can lead to an unrealistic model since in the presence of capillary actions, the mix of two immiscible fluids (oil and water) often appears as an oil-water transition (OWT) zone. These transition zones may be significant in the vertical direction (20 m or above), and in context of geosteering, an efficient method to simulate the OWT zone can maximize the production of an oil reservoir. Herein, we propose an efficient one and a half-dimensional (1.5D) numerical solver to accurately simulate the OWT zone in an oil reservoir. Using this method, we can easily consider arbitrary resistivity distributions in the vertical direction, as it occurs in an OWT zone. Numerical results on synthetic examples demonstrate significant differences between the results recorded by a geosteering device when considering a realistic OWT zone vs an OWC sharp interface.",{"EN":1007},"Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver",{"VOID":1009},"Bakr, S.A., Pardo, D., Mannseth, T.: Domain decomposition Fourier FE method for the simulation of 3D marine CSEM measurements. J. Comput. Phys. 255, 456–470 (2013)\nStreich, R., Becken, M.: Sensitivity of controlled-source electromagnetic fields in planarly layered media. Geophys. J. Int. 187, 705–728 (2011)\nConstable, S., Srnka, L.J.: An introduction to marine controlled-source electromagnetic methods for hydrocarbon exploration. Geophysics 72(2), WA3–WA12 (2007)\nPardo, D., Nam, M.J., Torres-Verdin, C., Hoversten, M.G., Garay, I.: Simulation of marine controlled source electromagnetic measurements using a parallel Fourier hp-finite element method. Comput. Geosci. 15, 53–67 (2011)\nKey, K.: 1D inversion of multicomponent, multifrequency marine CSEM data: methodology and synthetic studies for resolving thin resistive layers. Geophysics 74(2), F9–F20 (2009)\nMartí, A.: The role of electrical anisotropy in magnetotelluric responses: from modelling and dimensionality analysis to inversion and interpretation. Surv. Geophys. 35, 179–218 (2014)\nAlvarez-Aramberri, J., Pardo, D.: Dimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurements. J. Comput. Sci. 18, 95–105 (2017)\nPardo, D., Torres-Verdin, C.: Fast 1D inversion of logging-while-drilling resistivity measurements for the improved estimation of formation resistivity in high-angle and horizontal wells. Geophysics 80(2), E111–E124 (2014)\nDavydycheva, S., Wang, T.: A fast modelling method to solve Maxwell’s equations in 1D layered biaxial anisotropic medium. Geophysics 76(5), F293–F302 (2011)\nWang, G.L., Barber, T., Wu, P., Allen, D., Abubakar, A.: Triaxial induction tool response in dipping and crossbedded formations. Soc. Explor. Geophys., 585–590 (2014)\nIjasana, O., Torres-Verdín, C., Preeg, W.E.: Inversion-based petrophysical interpretation of logging-while-drilling nuclear and resistivity measurements. Geophysics 78(6), D473–D489 (2013)\nDavydycheva, S., Homan, D., Minerbo, G.: Triaxial induction tool with electrode sleeve: FD modeling in 3D geometries. J. Appl. Geophys. 67, 98–108 (2004)\nSeydoux, J., Legendre, E., Mirto, E., Dupuis, C., Denichou, J.M., Bennett, N., Kutiev, G., Kuchenbecker, M., Morriss, C., Yang, L.: Full 3D deep directional resistivity measurements optimize well placement and provide reservoir-scale imaging while drilling. Soc. Petrophys. Well-Log Analysts, 1–14 (2014)\nBell, C., Hampson, J., Eadsforth, P., Chemali, R., Helgesen, T., Meyer, H., Peveto, C., Poppitt, A., Randall, R., Signorelli, J., Wang, T.: Navigating and imaging in complex geology with azimuthal propagation resistivity while drilling. Soc. Petrophys. Well-Log Analysts, 1–14 (2006)\nBittar, M., Klein, J., Beste, R., Hu, G., Wu, M., Pitcher, J., Golla, C., Althoff, G., Sitka, M., Minosyam, V., Paulk, M.: A new azimuthal deep-reading resistivity tool for geosteering and advanced formation evaluation. Soc. Petrophysicists Well-Log Analysts, 1–10 (2009)\nChemali, R., Bittar, M., Hveding, F., Wu, M., Dautel, M.: Improved geosteering by integrating in real time images from multiple depths of investigation and inversion of azimuthal resistivity signals. Soc. Petrophysicists Well-Log Analysts, 1–7 (2010)\nDavydycheva, S.: Separation of azimuthal effects for new-generation resistivity logging tools — part 1. Geophysics 75(1), E31–E40 (2010)\nDavydycheva, S.: Separation of azimuthal effects for new-generation resistivity logging tools — part 2. Geophysics 76(3), F185–F202 (2011)\nShahriari, M., Rojas, S., Pardo, D., Rodríguez-Rozas, A., Bakr, S.A., Calo, V.M., Muga, I.: A numerical 1.5D method for the rapid simulation of geophysical resistivity measurements. Geosciences 8(6), 1–28 (2018)\nOmeragic, D., Habashy, T., Chen, Y.H., Polyakov, V., Kuo, C., Altman, R., Hupp, D., Maeso, C.: Reservoir characterization and well placement in complex scenarios using LWD directional EM measurements. Petrophysics 50, 396–415 (2009)\nAl-Musharfi, N.M., Bansal, R., Ahmed, M.S., Kanj, M.Y., Morys, M., Conrad, C., Parker, T.J.: Real time reservoir characterization and geosteering using advanced high-resolution LWD resistivity imaging. Soc. Petroleum Eng., 1–11 (2010)\nBeer, R., Dias, L.C.T., da Cunha, A.M.V., Coutinho, M.R., Schmitt, G.H., Seydoux, J., Guedes, A.B.F.: Geosteering and\u002For reservoir characterization the prowess of new-generation LWD tools. Soc. Petrophys. Well-Log Analysts, 1–14 (2010)\nZhang, C., Wu, Q., Wang, X., Lu, N.: Application of rotary geosteering drilling in deep and thin reservoirs of tarim basin, NW China. Pet. Explor. Dev. 40(6), 801–805 (2013)\nKok, J.C.L., DeJarnett, J., Geary, D., Vauter, E.: Successful geosteering in low resistivity contrast reservoirs of the permian basin. Soc. Petrol. Eng., 1–4 (2011)\nLoseth, L.O., Ursin, B.: Electromagnetic fields in planarly layered anisotropic media. Geophys. J. Int. 170, 44–F80 (2007)\nRojas, S., Muga, I., Pardo, D.: A quadrature-free method for simulation and inversion of 1.5D direct current (DC) borehole measurements. Comput. Geosci. 20(6), 1301–1318 (2016)\nLian, P., Tan, X.Q., Ma, C.Y., Feng, R.Q., Gao, H.M.: Saturation modeling in a carbonate reservoir using capillary pressure based saturation height function: a case study of the svk reservoir in the y field. J. Petroleum Explor. Prod. Technol. 6(1), 73–84 (2016)\nGhasemi, M., Yang, Y., Gildin, E., Efendiev, Y., Calo, V.M.: Fast multiscale reservoir simulations using pod-deim model reduction. Soc. Petrol. Eng., 1–18 (2015)\nMalekzadeh, F.A., Dusseault, M.B.: A solution for the transition zone isosats in two-phase primary drainage in the presence of gravity. Comput. Geosci. 17(5), 757–771 (2013)\nBhattacharya, S., Byrnes, A., Gerlach, P.: Cost-effective integration of geologic and petrophysical characterization with material balance and decline curve analysis to develop a 3D reservoir model for pc-based reservoir simulation to design a waterflood in a mature Mississippian carbonate field with limited log data. Tech. Rep. no. 2003-31, Kansas Geological Survey, Open-file Report (2003)\nGlover, P.W.J.: Archie’s law – a reappraisal. Solid Earth 7(4), 1157–1169 (2016)\nNédélec, J.C.: Acoustic and Electromagnetic Equations, Applied Mathematical Sciences, vol. 144. Springer, New York (2001). Integral representations for harmonic problems\nHabashy, T., Anderson, B.: Reconciling differences in depth of investigation between 2-MHz phase shift and attenuation resistivity measurements. Paper E presented at the 1991 SPWLA Annual Logging Symposium, Midland, Texas 16–19 June (1991)\nDesbrandes, R., Clayton, R.: Chapter 9 measurement while drilling. Dev. Pet. Sci. 38, 251–279 (1994)\nSeifert, D.J., Dossary, S.A., Chemali, R.E., Bittar, M.S., Lotfy, A.A., Pitcher, J.L., Bayrakdar, M.A.: Deep electrical images, geosignal, and real-time inversion help guide steering decisions. Soc. Petroleum Eng., 1–9 (2009)",{"VOID":1011},"10.1007\u002Fs10596-020-09946-5","PUBLICATION","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10596-020-09946-5",[1016,1032],{"id":1017,"sortIndex":32,"researcher":28,"roles":1018,"affiliations":1020,"properties":1029,"displayName":1031,"givenName":28,"familyName":28},"459aecfd-3b97-4ba7-80f3-1ae278740fff",[1019],"AUTHOR",[1021],{"id":1022,"sortIndex":32,"affiliation":1023,"properties":28},"a2a7906a-96e5-4bca-aadf-8ea7d7ad0f03",{"id":1022,"createTime":28,"updateTime":28,"relativeEntities":1024,"slug":28,"properties":1025,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1028,"statistic":28},[],{"title":1026},{"VI":1027},"Software Competence Center Hagenberg (SCCH), Hagenberg, Austria",[],{"title":1030},{"VI":1031},"M. 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Several simulation sub-samples with random locations and volumes were also selected for evaluation of the effects of scale and lithological composition on the calculated permeability. Vertical and horizontal permeability values (from whole core simulation) are in good agreement with routine core analysis (RCA) measurements from offsetting cores. Despite relatively good reservoir quality associated with geobodies of biogenic and relic bedding structures, results from the full diameter core simulation demonstrate that their limited volumetric abundance and restricted connectivity prevent these features from controlling fluid flow in these rocks. In fact, permeability seems to be dominated by the tighter encasing matrix, which exhibits average permeability values very close to those reported from RCA. Geometric averaging offers a better representation for the upscaling of horizontal permeability datasets; whereas, both geometric and harmonic averaging work similarly well for the vertical measurements. The methodology used in this work is particularly applicable to the detailed characterization of reservoir rocks with a high degree of heterogeneity caused by biological reworking and diagenesis.",{"EN":1143},"Modeling core-scale permeability anisotropy in highly bioturbated “tight oil” reservoir rocks",{"VOID":1145},"Clarkson, C.R., Pedersen, P.K.: Production analysis of Western Canadian unconventional light oil plays Canadian Unconventional Resources Conference, vol. paper 149005, p 23. Society of Petroleum Engineers and Canadian Society for Unconventional Gas, Calgary, Canada (2011)\nTomutsa, L., Jackson, S., Szpakiewicz, M., Palmer, T.: Geostatistical characterization and comparison of outcrop and subsurface facies: Shannon shelf sand ridges SPE California Regional Meeting, vol. paper 151127, p 12. Society of Petroleum Engineers, Oakland, California (1986)\nWeber, K.: Influence of common sedimentary structures on fluid flow in reservoir models. J. Pet. Technol. 34(03), 665–672 (1982)\nWeber, K.: How heterogeneity affects oil recovery. In: Lake, L., Carroll Jr., H. (eds.) Reservoir characterization, vol. 659, pp 487–544. Academic Press, Orlando, Florida (1986)\nEvans, R.C.: An investigation into the influence of common sedimentary structures and diagenesis on permeability heterogeneity and anisotropy in selected sands and sandstones. Soc. Pet. Eng. paper 17130 42 (1987)\nGingras, M.K., MaCmillan, B., Balcom, B.J.: Visualizing the internal physical characteristics of carbonate sediments with magnetic resonance imaging and petrography. Bullet. Can. Pet. Geol. 50(3), 363–369 (2002)\nKrause, F.F., Meyer, R.: Permeability anisotropy and heterogeneity of a sandstone reservoir analogue: An estuarine to shoreface depositional system in the Virgelle Member, Milk River Formation, Writing-On-Stone Provincial Park, Southern Alberta. AAPG Bullet. 54(4), 301–318 (2006)\nPemberton, S.G., Gingras, M.K.: Classification and characterizations of biogenically enhanced permeability. AAPG bullet. 89(11), 1493–1517 (2005)\nDabek, L.B., Knepp, R.: Bioturbation and its effects on permeability in wave-dominated shoreface rocks of the Spring Canyon Member, Blackhawk Formation, Utah, USA. Search Discov. Art. 50425(10) (2011)\nLa Croix, A.D., Gingras, M.K., Dashtgard, S.E., Pemberton, S.G.: Computer modeling bioturbation: The creation of porous and permeable fluid-flow pathways. AAPG Bullet. 96(3), 545–556 (2012)\nSolano, N., Clarkson, C., Krause, F.: Characterization of fine-scale rock structure and differences in mechanical properties in tight oil reservoirs: an evaluation at the scale of elementary lithological components combining photographic and X-ray computed tomographic imaging, profile-permeability and microhardness testing. J. Unconv. Oil Gas Resour. 15, 22–42 (2016)\nAPI: RP 40: recommended practices for core analysis, 2nd edn. API, Washington, DC (2010)\nLake, L.W.: The origins of anisotropy (includes associated papers 18394 and 18458). J. Pet. Technol. 40(04), 395–396 (1988)\nJarzyna, J.A., Krakowska, P.I., Puskarczyk, E., Wawrzyniak-Guz, K., Bielecki, J., Tkocz, K., Tarasiuk, J., Wroński, S., Dohnalik, M.: X-ray computed microtomography—a useful tool for petrophysical properties determination. Comput. Geosci. 20(5), 1155–1167 (2016)\nKrause, F., Collins, H., Nelson, D., Machemer, S., French, P.: Multiscale anatomy of a reservoir: geological characterization of Pembina-Cardium pool, west-central Alberta, Canada. AAPG Bullet. 71(10), 1233–1260 (1987)\nWalker, R.G.: Cardium Formation 3. Sedimentology and stratigraphy in the Garrington-Caroline area, Alberta. Bullet. Can. Pet. Geol. 31(4), 213–230 (1983)\nCollins, R.: Determination of the transverse permeabilities of large core samples from petroleum reservoirs. J. Appl. Phys. 23(6), 681–684 (1952)\nNeuman, S.P.: Generalized scaling of permeabilities: validation and effect of support scale. Geophys. Res. Lett. 21(5), 349–352 (1994)\nRenard, P., De Marsily, G.: Calculating equivalent permeability: a review. Adv. Water Resour. 20(5), 253–278 (1997)\nCorbett, P.W., Jensen, J.L.: Variation of reservoir statistics according to sample spacing and measurement type for some intervals in the Lower Brent Group. Log Anal. 33(01) (1992)\nPickup, G., Ringrose, P., Corbett, P., Jensen, J., Sorbie, K.: Geology, geometry and effective flow. Pet. Geosci. 1(1), 37–42 (1995)\nJensen, J.L., Lake, L.W., Corbett, P.W.M., Gogging, D.J.: Statistics for petroleum engineers and geoscientists, 2nd edn., vol. 2. Gulf Professional Publishing (2000)\nBEAR, J.: Dynamics of fluids in porous media. Elsevier Scientific Publishing Co., Amsterdam (1972)\nKlinkenberg, L.: The permeability of porous media to liquids and gases Drilling and Production Practice. American Petroleum Institute (1941)\nAbràmoff, M.D., Magalhães, P.J., Ram, S.J.: Image processing with ImageJ. Biophoton. Int. 11(7), 36–42 (2004)\nSchneider, C.A., Rasband, W.S., Eliceiri, K.W.: NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9(7), 671–675 (2012)",{"VOID":1147},"10.1007\u002Fs10596-017-9635-2","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10596-017-9635-2",[1150,1165,1180,1193,1206],{"id":1151,"sortIndex":32,"researcher":28,"roles":1152,"affiliations":1153,"properties":1162,"displayName":1164,"givenName":28,"familyName":28},"ed045469-2c95-4611-b82f-48ab68e3beef",[1019],[1154],{"id":1155,"sortIndex":32,"affiliation":1156,"properties":28},"9cbf58f2-4854-401b-a1b4-e6a9a3fb422d",{"id":1155,"createTime":28,"updateTime":28,"relativeEntities":1157,"slug":28,"properties":1158,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1161,"statistic":28},[],{"title":1159},{"VI":1160},"Geoscience Department, University of Calgary, Calgary, Canada",[],{"title":1163},{"VI":1164},"Nisael A. 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The forecasting procedure extends a recently developed data-space inversion (DSI) technique that generates production predictions using only prior-model simulation results and observed data. The method does not provide posterior (history-matched) geological models. Rather, the DSI method treats production data as random variables. The prior distribution is estimated from the flow simulations performed on prior geological models, and the posterior data-variable distribution is sampled using a data-space randomized maximum likelihood method. The DSI treatment requires the parameterization of data variables to render them approximately multivariate Gaussian. The complex production data considered here (resulting from frequent well shut-ins) is treated using a new reparameterization that involves principal component analysis combined with histogram transformation. The DSI method is first applied for two-dimensional DFM systems involving multiple fracture scenarios. In this case, comparison with a rejection sampling procedure is possible, and we show that the DSI results for P10, P50, and P90 statistics are consistent with rejection sampling results. The DSI method is then applied to a realistic NFR that has undergone 15 years of primary production and is under consideration for waterflooding. To construct the DSI representation, around 400 prior DFM models, which correspond to different geologic concepts and properties, are simulated. Two different reference ‘true’ models, along with different data-assimilation durations, are considered to evaluate the performance of the DSI procedure. In all cases, the DSI predictions are shown to be consistent with the forecasts from the ‘true’ model and to provide reasonable quantification of forecast uncertainty.",{"EN":1294},"Production forecasting and uncertainty quantification for naturally fractured reservoirs using a new data-space inversion procedure",{"VOID":1296},"Aanonsen, S.I., Nævdal, G., Oliver, D.S., Reynolds, A.C., Vallès, B.: The ensemble Kalman filter in reservoir engineering—a review. SPE J. 14(3), 393–412 (2009)\nChen, Y., Oliver, D.S.: Ensemble randomized maximum likelihood method as an iterative ensemble smoother. Math. Geosci. 44(1), 1–26 (2012)\nCherpeau, N., Caumon, G., Caers, J., Lėvy, B.: Method for stochastic inverse modeling of fault geometry and connectivity using flow data. Math. Geosci. 44(2), 147–168 (2012)\nDehghani, K., Fischer, D., Skalinski, M.: Application of integrated reservoir studies and techniques to estimate oil volumes and recovery—–Tengiz field, Republic of Kazakhstan. SPE Reserv. Eval. Eng. 11(2), 362–378 (2008)\nEvensen, G.: The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dyn. 53(4), 343–367 (2003)\nEvensen, G., van Leeuwen, P.J.: An ensemble Kalman smoother for nonlinear dynamics. Mon. Weather Rev. 128(6), 1852–1867 (2000)\nGeiger, S., Matthäi, S.K., Niessner, J., Helmig, R.: Black-oil simulations for three-component, three-phase flow in fractured porous media. SPE J. 14(2), 338–354 (2009)\nHe, J., Xie, J., Sarma, P., Wen, X.H., Chen, W.H., Kamath, J.: Model-based a priori evaluation of surveillance programs effectiveness using proxies. Paper SPE 173229 presented at the SPE Reservoir Simulation Symposium, Houston, Texas, USA 23–25 February (2015)\nHoteit, H., Firoozabadi, A.: Multicomponent fluid flow by discontinuous Galerkin and mixed methods in unfractured and fractured media. Water Resour. Res 41(11) (2015). doi:10.1029\u002F2005WR004339\nHu, L., Jenni, S.: History matching of object-based stochastic reservoir models. SPE J. 10(3), 312–323 (2005)\nHui, M.H., Heidary-Fyrozjaee, M., Kamath, J.: Scaling gravity-drainage oil recovery from fractured reservoirs using 3D gravity-drainage scaling relationships. Paper SPE 172295-MS, presented at the SPE Annual Caspian Technical Conference and Exhibition, Astana, Kazakhstan 12–14 November (2014)\nHui, M.H., Kamath, J., Narr, W., Gong, B., Fitzmorris, R.E.: Realistic modeling of fracture networks in a giant carbonate reservoir. Paper IPTC 11386-MS, presented at the International Petroleum Technology Conference, Dubai, United Arab Emirates 4–6 December (2007)\nHui, M.H., Mallison, B., Heidary-Fyrozjaee, M., Narr, W.: The upscaling of discrete fracture models for faster, coarse-scale simulations of IOR and EOR processes for fractured reservoirs. Paper SPE 166075-MS, presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA 30 September–2 October (2013)\nJenni, S., Hu, L., Basquet, R., De Marsily, G., Bourbiaux, B.: History matching of a stochastic model of field-scale fractures: Methodology and case study. Oil Gas Sci. Technol. 62(2), 265–276 (2007)\nKarimi-Fard, M., Durlofsky, L.J.: A general gridding, discretization, and coarsening methodology for modeling flow in porous formations with discrete geological features. Adv. Water Resour. 96, 354–372 (2016)\nKarimi-Fard, M., Durlofsky, L.J., Aziz, K.: An efficient discrete fracture model applicable for general purpose reservoir simulators. SPE J. 9(2), 227–236 (2004)\nKing, G.R., Jones, M., Tankersley, T., Flodin, E., Jenkins, S., Zhumagulova, A., Eaton, W., Bateman, P., Laidlaw, C., Fitzmorris, R., Ma, X., Dagistanova, K.: Use of brown-field experimental design methods for post-processing conventional history match results. Paper SPE 159341-MS, presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA 8–10 October (2012)\nKitanidis, P.K.: Parameter uncertainty in estimation of spatial functions: Bayesian analysis. Water Resour. Res. 22(4), 499–507 (1986)\nKrishnamurti, T.N., Kishtawal, C., Zhang, Z., LaRow, T., Bachiochi, D., Williford, E., Gadgil, S., Surendran, S.: Multimodel ensemble forecasts for weather and seasonal climate. J. Clim. 13(23), 4196–4216 (2000)\nMallet, V., Stoltz, G., Mauricette, B.: Ozone ensemble forecast with machine learning algorithms. J. Geophys. Res. 114(D5), 148–227 (2009)\nMatthäi, S., Mezentsev, A., Belayneh, M.: Control-volume finite-element two-phase flow experiments with fractured rock represented by unstructured 3D hybrid meshes. Paper SPE 93341-MS, presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, USA 31 January–2 February (2005)\nMosegaard, K., Tarantola, A.: Monte Carlo sampling of solutions to inverse problems. J. Geophys. Res. 100 (B7), 12,431–12,447 (1995)\nOliver, D.S.: On conditional simulation to inaccurate data. Math. Geosci. 28(6), 811–817 (1996)\nOliver, D.S., Chen, Y.: Recent progress on reservoir history matching: a review. Computat. Geosci. 15(1), 185–221 (2011)\nOliver, D.S., Reynolds, A.C., Liu, N.: Inverse theory for petroleum reservoir characterization and history matching. Cambridge University Press, Cambridge (2008)\nReynolds, A.C., He, N., Oliver, D.S.: Reducing Uncertainty in Geostatistical Description with Well-Testing Pressure Data. In: Reservoir Characterization–Recent Advances, pp 149–162. American Association of Petroleum Geologists, Tulsa (1999)\nSatija, A., Caers, J.: Direct forecasting of subsurface flow response from non-linear dynamic data by linear least-squares in canonical functional principal component space. Adv. Water Resour. 77, 69–81 (2015)\nScheidt, C., Renard, P., Caers, J.: Prediction-focused subsurface modeling: investigating the need for accuracy in flow-based inverse modeling. Math. Geosci. 47(2), 173–191 (2015)\nSun, W.: Data Driven History Matching for Reservoir Production Forecasting. Master’s thesis, Stanford University (2014)\nSun, W., Durlofsky, L.J.: A new data-space inversion procedure for efficient uncertainty quantification in subsurface flow problems. Math Geosci. (2017). doi:10.1007\u002Fs11004-016-9672-8\nTarantola, A.: Inverse problem theory and methods for model parameter estimation. SIAM (2005)\nVo, H.X., Durlofsky, L.J.: A new differentiable parameterization based on principal component analysis for the low-dimensional representation of complex geological models. Math. Geosci. 46(7), 775–813 (2014)\nVo, H.X., Durlofsky, L.J.: Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization. Computat. Geosci. 19(4), 747–767 (2015)\nWen, X.H., Chen, W.H.: Real-time reservoir model updating using ensemble Kalman filter with confirming option. 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P., Shtuka, A., Lecour, M., Ait-Ettajer, T., Cognot, R.: Structural uncertainties: determination, management, and applications. Geophysics 67, 840–852 (2002)",{"id":28,"text":1539,"url":28,"identifiers":28},"Lecour, M., Cognot, R., Duvinage, I., Thore, P., Dulac, J.-C.: Modeling of stochastic faults and fault networks in a structural uncertainty study. Pet. Geosci. 7(Supplement), 31–42 (2001)",{"id":28,"text":1541,"url":28,"identifiers":28},"Samson, P., Dubrule, O., Euler, N.: Quantifying the impact of structural uncertainties on gross-rock volume estimates. Paper presented at European 3-D Reservoir Modelling Conference, Stavanger, Norway, SPE 35535, 16–17 April (1996)",{"id":28,"text":1543,"url":28,"identifiers":28},"Corre, B., Thore, P., de Feraudy, V., Vincent, G.: Integrated uncertainty assessment for project evaluation and risk analysis. Paper presented at SPE European Petroleum Conference, Paris, France, SPE 65205, 24–25 October (2000)",{"id":28,"text":1545,"url":28,"identifiers":28},"Charles, T., Guéméné, J.M., Corre, B., Vincent, G., Dubrule, O.: Experience with the quantification of subsurface uncertainties. Paper presented at SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, SPE 68703, 17–19 April (2001)",{"id":28,"text":1547,"url":28,"identifiers":28},"Holden, L., Mostad, P., Nielsen, B.F., Gjerde, J., Townsend, C., Ottesen, S.: Stochastic structural modeling. Math. Geology 35(8), 899–914 (2003)",{"id":28,"text":1549,"url":28,"identifiers":28},"Clapp, R.G.: Multiple realizations and data variance: successes and failures. Stanford Exploration Project Report 113 (2003)",{"id":28,"text":1551,"url":28,"identifiers":28},"Clapp, R. G.: Multiple realizations: model variance and data uncertainty. Stanford Exploration Project Report 108 (2001)",{"id":28,"text":1553,"url":28,"identifiers":28},"Grubb, H., Tura, A., Hanitzsch, C.: Estimating and interpreting uncertainty in migrated images and AVO attributes. Geophysics 66, 1280–1216 (2001)",{"id":28,"text":1555,"url":28,"identifiers":28},"Rivenæs, J.C., Otterleti, C., Zachariassen, E., Dart, C., Sjoholm, J.: A 3D stochastic model integrating depth, fault and property uncertainty for planning robust wells, Njord Field, offshore Norway. Pet. Geosci. 11, 57–65 (2005)",{"id":28,"text":1557,"url":28,"identifiers":28},"Suzuki, S., Caers, J.: History matching with an uncertain geological scenario. Paper presented at SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, SPE 102154, 24–27 September (2006)",{"id":28,"text":1559,"url":28,"identifiers":28},"Earth Decision: GOCAD Earth Decision Suite 2.1 User Guide. Earth Decision, Houston TX (2006)",{"id":28,"text":1561,"url":28,"identifiers":28},"Zhang, L., Caumon, G.: Perturbation of fault network geometry on a stratigraphic grid. In: Proceedings of the 26th Gocad Meeting, Nancy School of Geology, Nancy, France, 6–9 June (2006)",{"id":28,"text":1563,"url":28,"identifiers":28},"Srivastava, R. M.: Reservoir characterization with probability field simulation. Paper presented at SPE Annual Technical Conference and Exhibition, Washington, DC, SPE24753, 4–7 October (1992)",{"id":28,"text":1565,"url":28,"identifiers":28},"Sambridge, M.: Geophysical inversion with a neighborhood algorithm-I: searching a parameter space. Geophys. J. Int. 138(2), 479–494 (1999)",{"id":28,"text":1567,"url":28,"identifiers":28},"Sambridge, M.: Geophysical inversion with a neighborhood algorithm-II: appraising the ensemble. Geophys. J. Int. 138(3), 727–746 (1999)",{"id":28,"text":1569,"url":28,"identifiers":28},"Demyanov, V., Subbey, S. Christie, M.: Uncertainty assessment in PUNQ-S3: neighbourhood algorithm framework for geostatistical modeling. In: Proceedings of the 9th European Conference on the Mathematics of Oil Recovery, Cannes, France, 31 Aug–2 Sept (2004)",{"id":28,"text":1571,"url":28,"identifiers":28},"Christie, M., Demyanov, V., Erbas, D.: Uncertainty qualification for porous media flows. J. Comp. Phys. 217(1), 143–158 (2006)",{"id":28,"text":1573,"url":28,"identifiers":28},"Huttenlocher, D.P., Klanderman, G.A., Rucklidgo, W.J.: Comparing images using the Hausdorff distance. IEEE Trans. PAMI 15, 850–863 (1993)",{"id":28,"text":1575,"url":28,"identifiers":28},"Dubuisson, M. P., Jain, A. K.: A modified Hausdorff distance for object matching. In: Proceedings of the 12th International Conference on Pattern Recognition, A, 566–568, Jerusalem, Israel, October 9–13 (1994)",{"id":28,"text":1577,"url":28,"identifiers":28},"Caers, J.: History matching under training-image based geological constraints. SPE J. 8, (3), 218–226 (2003) (SPE paper no. 74716)",{"id":1579,"createTime":1580,"updateTime":1580,"relativeEntities":1581,"slug":28,"properties":1582,"entityType":1012,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1591,"fullTextUrl":28,"authors":1592,"publicationType":1068,"publisherRelationship":1608,"citationCount":28,"citationInfo":28,"publishDate":1668,"publishYear":1669,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1670,"openAccess":28,"references":28,"isForceReanalyzing":1132},"027aef8f-d3f0-4164-bd8d-b8d53c17f6f0","2024-02-08T10:33:06.765+00:00",[],{"abstract":1583,"title":1585,"references":1587,"doi":1589},{"EN":1584},"Numerical benchmark can be an efficient way to validate reactive transport codes. The reactive transport benchmark of GNR MoMaS is here presented and solved on its easy 1D version. The reactive transport code SPECY is presented with a brief description of its main numerical methods: discontinuous finite elements for solving advection, mixed hybrid finite elements for solving dispersion and Newton–Raphson method to linearise the equilibrium chemistry and respect of the chemically allowed interval and positive continuous fractions methods to increase the robustness of the chemistry resolution. By successive mesh and time step refinement, we use the reactive transport code SPECY to look for a reference solution to this problem.",{"EN":1586},"Looking for some reference solutions for the reactive transport benchmark of MoMaS with SPECY",{"VOID":1588},"Aggarwal, M., Carrayrou, J.: Parameter estimation for reactive transport by a Monte-Carlo approach. AIChE J. 52(6), 2281–2289 (2006)\nAppelo, C.A.J., Verweij, E., Schafer, H.: A hydrogeochemical transport model for an oxidation experiment with pyrite\u002Fcalcite\u002Fexchangers\u002Forganic matter containing sand. Appl. Geochem. 13(2), 257–268 (1998)\nCarrayrou J., Kern, M., Knabner, P.: Reactive transport benchmark of MoMaS. Comput. Geosci. (2009). doi:10.1007\u002Fs10596-009-9157-7\nCarrayrou, J., Mosé, R., Behra, P.: New efficient algorithm for solving thermodynamic chemistry. AIChE J. 48(4), 894–904 (2002)\nCarrayrou, J., Mosé, R., Behra, P.: Modelling reactive transport in porous media: iterative scheme and combination of discontinuous and mixed-hybrid finite elements. C. R. Acad. Sci. Serie II: Mec. Phys. Chim. Sci. Terre Univers 331(3), 211–216 (2003)\nCederberg, A., Street, R.L., Leckie, J.O.: A groundwater mass transport and equilibrium chemistry model for multicomponent systems. Water Resour. Res. 21, 1095–1104 (1985)\nDavis, T.A., Duffs, I.S.: A combined unifrontal\u002Fmultifrontal method for unsymmetric sparse matrices. ACM Trans. Math. Softw. 25(1), 1–20 (1999)\nDe Windt, L., Burnol, A., Montarnal, P., van der Lee, J.: Intercomparison of reactive transport models applied to UO2 oxidative dissolution and uranium migration. J. Contam. Hydrol. 61(1–4), 303–312 (2003)\nFahs, M., Carrayrou, J., Younes, A., Ackerer, P.: On the efficiency of the direct substitution approach for reactive transport problems in porous media. Water Air Soil Pollut. 193(1–4), 299–308 (2008)\nHammond, G.E., Valocchi, A.J., Lichtner, P.C.: Modeling multicomponent reactive transport on parallel computers using Jacobian–Free Newton Krylov with operator-split preconditioning. In: Hassanizadeh, S.M. (ed.) Developments in Water Science Computational Methods in Water Resources. Proceedings of the XIVth International Conference on Computational Methods in Water Resources (CMWR XIV), pp. 727–734. Elsevier, Amsterdam (2002)\nHoffmann, J., Kräutle, S., Knabner, P.: A parallel global-implicit 2-D solver for reactive transport problems in porous media based on a reduction scheme and its application to the MoMaS benchmark problem. Comput. Geosci. (2009, in press)\nHolm, T.R.: Comment on “Computing the equilibrium composition of aqueous systems: an iterative solution at each step in Newton–Raphson”. Environ. Sci. Technol. 23(12), 1531–1532 (1989)\nKonikow, L.F., Bredehoeft, J.D.: Ground-water models cannot be validated. Adv. Water Resour. 15(1), 75–83 (1992)\nLagneau, V., van der Lee, J.: HYTEC results of the MoMas reactive transport benchmark. Comput. Geosci. (2009). doi:10.1007\u002Fs10596-009-9159-5\nLichtner, P.C.: Continuum model for simultaneous chemical reactions and mass transport in hydrothermal systems. Geochim. Cosmochim. Acta 49(3), 779–800 (1985)\nNowack, B., Mayer, K.U., Oswald, S.E., Van Beinum, W., Appelo, C.A.J., Jacques, D., Seuntjens, P., Rard, F., Jaillard, B., Schnepf, A., Roose, T.: Verification and intercomparison of reactive transport codes to describe root-uptake. Plant Soil 285(1–2), 305–321 (2006)\nOreskes, N., Shrader-Frechette, K., Belitz, K.: Verification, validation, and confirmation of numerical models in the earth sciences. Science 263(5147), 641–646 (1994)\nParkhurst, D.L., Appelo, C.A.J.: User’s guide to PHREEQC (version 2)—a computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations. US Geological Survey, Rep 99-4259, 312 pp. (1999)\nPruess, K., Garcia, J., Kovscek, T., Oldenburg, C., Rutqvist, J., Steefel, C., Xu, T.: Code intercomparison builds confidence in numerical simulation models for geologic disposal of CO2. Energy 29(9–10), 1431–1444 (2004)\nSiegel, P., Mosé, R., Jaffré, J.: Solution of the advection dispersion equation using a combination of discontinuous and mixed finite elements. Int. J. Numer. Methods Fluids 24, 595–613 (1997)\nSteefel, C.I., Lasaga, A.C.: A coupled model for transport of multiple chemical species and kinetic precipitation\u002Fdissolution reactions with application to reactive flow in single phase hydrothermal systems. Am. J. Sci. 294(5), 529–592 (1994)\nSteefel, C.I., MacQuarrie, K.T.B.: Approaches to modeling of reactive transport in porous media. Rev. Mineral. 34, 82–129 (1996)\nSteefel, C.I., DePaolo, D.J., Lichtner, P.C.: Reactive transport modeling: an essential tool and a new research approach for the Earth sciences. Earth Planet. Sci. Lett. 240(3–4), 539–558 (2005)\nValocchi, A.J., Street, R.L., Roberts, P.V.: Transport of ion-exchanging solutes in groundwater: chromatographic theory and field simulation. Water Resour. Res. 17, 1517–1527 (1981)\nvan der Lee, J., De Windt, L.: Present state and future directions of modeling of geochemistry in hydrogeological systems. J. Contam. Hydrol. 47(2–4), 265–282 (2001)\nvan der Lee, J., De Windt, L., Lagneau, V., Goblet, P.: Module-oriented modeling of reactive transport with HYTEC. Comput. Geosci. 29(3), 265–275 (2003)\nWalter, A.L., Frind, E.O., Blowes, D.W., Ptacek, C.J., Molson, J.W.: Modeling of multicomponent reactive transport in groundwater. 1. Model development and evaluation. Water Resour. Res. 30(11), 3137–3148 (1994)\nYeh, G.T., Tripathi, V.S.: A critical evaluation of recent developments in hydrogeochemical transport models of reactive multichemical components. Water Resour. Res. 25(1), 93–108 (1989)",{"VOID":1590},"10.1007\u002Fs10596-009-9161-y","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10596-009-9161-y",[1593],{"id":1594,"sortIndex":32,"researcher":28,"roles":1595,"affiliations":1596,"properties":1605,"displayName":1607,"givenName":28,"familyName":28},"172afe73-01ee-4d51-bddc-e06478ab1398",[1019],[1597],{"id":1598,"sortIndex":32,"affiliation":1599,"properties":28},"1fbdd621-85f3-4cc7-bb31-bc3ee4bac7bf",{"id":1598,"createTime":28,"updateTime":28,"relativeEntities":1600,"slug":28,"properties":1601,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1604,"statistic":28},[],{"title":1602},{"VI":1603},"Laboratoire d’Hydrologie et de Géochimie de Strasbourg, Institut de Mécanique des Fluides et des Solides, Université de Strasbourg, Strasbourg, France",[],{"title":1606},{"VI":1607},"Jérôme Carrayrou",{"url":1591,"publisher":1609,"properties":1663},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1610,"slug":872,"properties":1611,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1615,"manageAffiliations":1632,"indexDatabases":1643,"url":28,"thumbnailPath":28,"statistic":1658,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1612,"title":1613,"eissn":1614},{"VOID":877},{"EN":879},{"VOID":875},[1616,1620,1624,1628],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1617,"label":1618,"description":1619,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},{"id":891,"createTime":28,"updateTime":28,"relativeEntities":1621,"label":1622,"description":1623,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":894},{},{"id":897,"createTime":28,"updateTime":28,"relativeEntities":1625,"label":1626,"description":1627,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":900},{},{"id":903,"createTime":28,"updateTime":28,"relativeEntities":1629,"label":1630,"description":1631,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":906},{},[1633,1638],{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1634,"slug":28,"properties":1635,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1637,"statistic":28},[],{"title":1636},{"EN":914},[916],{"id":918,"createTime":28,"updateTime":28,"relativeEntities":1639,"slug":28,"properties":1640,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1642,"statistic":28},[],{"title":1641},{"EN":922},[],[1644,1651],{"id":926,"indexDatabase":1645,"url":938,"indexYears":28,"academicFieldIds":1650,"indexDatabaseRanking":28},{"id":928,"createTime":28,"updateTime":28,"relativeEntities":1646,"label":1647,"description":1648,"key":935,"publicationTags":1649,"standard":28},[],{"EN":931,"VI":931},{"EN":933,"VI":934},[937,813],[816,940],{"id":942,"indexDatabase":1652,"url":948,"indexYears":949,"academicFieldIds":1657,"indexDatabaseRanking":955},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1653,"label":1654,"description":1655,"key":781,"publicationTags":1656,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[951,952,953,954],{"impactFactor":32,"impactFactorByYear":1659,"i10Index":330,"i10IndexLast5Year":127,"totalPublication":961,"totalPublicationByYear":1660,"totalCitation":963,"totalCitationByYear":1661,"totalCitationPerPublication":976,"totalCitationPerPublicationByYear":1662,"hindexLast5Year":148,"hindex":148},{"2012":958,"2013":113,"2014":289,"2015":424,"2016":229,"2017":346,"2018":346,"2019":820,"2020":696,"2021":959,"2022":173,"2023":960},{"1997":205,"1998":146,"1999":205,"2000":145,"2001":146,"2002":122,"2003":146,"2004":47,"2005":357,"2006":134,"2007":128,"2008":138,"2009":137,"2010":132,"2011":133,"2012":141,"2013":278,"2014":325,"2015":328,"2016":152,"2017":159,"2018":516,"2019":560,"2020":611,"2021":156,"2022":149,"2023":436,"2024":49},{"2004":965,"2005":140,"2006":966,"2007":134,"2008":325,"2009":520,"2010":967,"2011":968,"2012":334,"2013":969,"2014":970,"2015":567,"2016":971,"2017":972,"2018":973,"2019":354,"2020":974,"2021":975,"2022":148,"2023":48},{"2004":978,"2005":979,"2006":980,"2007":741,"2008":705,"2009":238,"2010":981,"2011":982,"2012":983,"2013":984,"2014":985,"2015":986,"2016":987,"2017":988,"2018":989,"2019":990,"2020":991,"2021":992,"2022":347,"2023":104},{"pages":1664,"volume":1666},{"VOID":1665},"393-403",{"VOID":1667},"14","2009-10-06",2009,[955,937],{"id":1672,"createTime":1673,"updateTime":1674,"relativeEntities":1675,"slug":1676,"properties":1677,"entityType":1012,"verifyStatus":26,"verifyTime":1674,"verifyNote":1013,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1686,"fullTextUrl":28,"authors":1687,"publicationType":1068,"publisherRelationship":1716,"citationCount":28,"citationInfo":28,"publishDate":1776,"publishYear":1282,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":1777,"openAccess":28,"references":28,"isForceReanalyzing":1132},"029eaf38-5dab-49e3-8c97-7e1aa9a7aefa","2023-12-28T09:49:51.323+00:00","2024-12-21T03:50:11.538+00:00",[],"A-modified-randomized-maximum-likelihood-for-improved-Bayesian-history-matching",{"abstract":1678,"title":1680,"references":1682,"doi":1684},{"EN":1679},"Randomized maximum likelihood is known in the petroleum reservoir community as a Bayesian history matching technique by means of minimizing a stochastic quadratic objective function. The algorithm is well established and has shown promising results in several applications. For linear models with linear observation operator, the algorithm samples the posterior density accurately. To improve the sampling for nonlinear models, we introduce a generalized version in its simplest form by re-weighting the prior. The weight term is motivated by a sufficiency condition on the expected gradient of the objective function. Recently, an ensemble version of the algorithm was proposed which can be implemented with any simulator. Unfortunately, the method has some practical implementation issues due to computation of low rank pseudo inverse matrices and in practice only the data mismatch part of the objective function is maintained. Here, we take advantage of the fact that the measurement space is often much smaller than the parameter space and project the prior uncertainty from the parameter space to the measurement space to avoid over fitting of data. The proposed algorithms show good performance on synthetic test cases including a 2D reservoir model.",{"EN":1681},"A modified randomized maximum likelihood for improved Bayesian history matching",{"VOID":1683},"Anderson, J.L.: A non-Gaussian ensemble filter update for data assimilation. Mon. Wea. Rev. 138(11), 4186–4198 (2010). doi:10.1175\u002F2010MWR3253.1\nBardsley, J.M., Solonen, A., Haario, H., Laine, M.: Randomize-then-optimize: A method for sampling from posterior distribution in nonlinear inverse problems. SIAM J. Sci. Comput. 36(4), A1895–A1910 (2014)\nBergemann, K., Reich, S.: A mollified ensemble Kalman filter. Q. J. R. Meteorol. Soc. 136(651), 1636–1643 (2010)\nChen, Y., Oliver, D.S.: Ensemble randomized maximum likelihood method as an iterative ensemble smoother. Math. Geosci. 44(1), 1–26 (2012)\nChen, Y., Oliver, D.S.: Levenberg-Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification. Comput. Geosci. 17, 689–703 (2013)\nChen, Y., Oliver, D.S.: History matching of the Norne full-field model with an iterative ensemble smoother. SPE Reserv. Eval. Eng. 17(02), 244–256 (2014)\nCotter, C.J., Reich, S.: Ensemble filter techniques for intermittent data assimilation-a survey. arXiv:1208.6572 (2012)\nCotter, S.L., Roberts, G.O., Stuart, A., White, D., et al.: MCMC methods for functions: modifying old algorithms to make them faster. Stat. Sci. 28(3), 424–446 (2013)\nEl Moselhy, T.A., Marzouk, Y.M.: Bayesian inference with optimal maps. J. Comput. Phys. 231, 7815–7850 (2012)\nEmerick, A., Reynolds, A.: Ensemble smoother with multiple data assimilation. Comput. Geosci. 55, 3–15 (2013)\nEvensen, G.: Data Assimilation: The Ensemble Kalman Filter. Springer (2007)\nEvensen, G., Van Leeuwen, P.J.: An ensemble Kalman smoother for nonlinear dynamics. Mon. Weather Rev. 128(6), 1852–1867 (2000)\nFossum, K., Mannseth, T.: Parameter sampling capabilities of sequential and simultaneous data assimilation: I. analytical comparison. Inverse Probl. 30(114002), (2014)\nFossum, K., Mannseth, T.: Parameter sampling capabilities of sequential and simultaneous data assimilation: I. statistical analysis of numerical results. Inverse Probl. 30(114003), (2014)\nHanke, M.: A regularizing Levenberg-Marquardt scheme, with applications to inverse groundwater filtration problems. Inverse Probl. 13, 79–95 (1997)\nHoteit, I., Pham, D. -T., Triantafyllou, G., Korres, G.: A New approximative solution of the optimal nonlinear filter for Data Assimilation in Meteorology and Oceanography. Mon. Weather Rev. 136, 317–334 (2008)\nJansen, J.D.: SimSim: A simple reservoir simulator. Departement of Geotechnology, TU, Delft (2011)\nKitandis, P.K.: Quasilinear geostatistical theory for inversing. Water Resour. Res. 31(10), 2411–2419 (1995)\nKitanidis, P.K.: Quasi-linear geostatistical theory for inversing. Water Resour. Res. 31(10), 2411–2419 (1995)\nNævdal, G., Mannseth, T., Vefring, E.H.: Near-well reservoir monitoring through ensemble Kalman filter. In: SPE\u002FDOE Improved Oil Recovery Symposium, Tulsa, Oklahoma, pp. SPE75235 (2002)\nOliver, D.S.: Minimization for conditional simulation: Relationship to optimal transport. J. Comput. Phys. 265, 1–15 (2014)\nOliver, D.S.: Metropolized randomized maximum likelihood for sampling from multimodal distributions arXiv:1507.08563v1 [stat.CO] (2015)\nOliver, D.S., Chen, Y.: Recent progress on reservoir history matching: a review. Comput. Geosci. 15(1), 185–221 (2011)\nOliver, D.S., He, N., Reynolds, A.C.: Conditioning permeability fields to pressure data. In: European Conference for the Mathematics of Oil Recovery, V, pp. 1–11 (1996)\nShirangi, M.G.: History matching production data and uncertainty assessment with an efficient TSVD parameterization algorithm. J. Pet. Sci. Eng. 113, 54–71 (2014)\nShirangi, M.G., Emerick, A.A.: An improved TSVD-based Levenberg-Marquardt algorithm for history matching and comparison with Gauss-Newton. J. Pet. Sci. Eng. 143, 258–271 (2016)\nSkjervheim, J.-A., Evensen, G.: An ensemble smoother for assisted history matching. In SPE Reservoir simulations symposium. The Woodlands, Texas, pp. 21–23. Society of Petroleum Engineers. SPE141929-MS (2011)\nStordal, A.: Iterative Bayesian inversion with gaussian mixtures: finite sample implementation and large sample asymptotics. Comput. Geosci. 19(1), 1–15 (2015). ISSN 1420-0597. doi:10.1007\u002Fs10596-014-9444-9\nStordal, A., Elsheikh, A.: Iterative ensemble smoothers in the annealed importance sampling framework. Adv. Water Resour. 86(Part A), 231–239 (2015)\nStordal, A., Lorentzen, R.: An iterative version of the adaptive gaussian mixture filter. Comput. Geosci. 18(3), 579–595 (2014). doi:10.1007\u002Fs10596-014-9402-6\nStordal, A., Karlsen, H., Nævdal, G., Skaug, H., Vallès, B.: Bridging the ensemble Kalman filter and particle filters. Comput. Geosci. 15(2), 293–305 (2011)\nTavakoli, R., Reynolds, A.C.: History matching with parameterization based on the singular value decomposition of a dimensionless sensitivity matrix. SPE J. 15(2), 495–508 (June 2010)\nTavakoli, R., Reynolds, A.C.: Monte Carlo simulation of permeability fields and reservoir performance predictions with SVD parameterization compared with EnKF. Comput. Geosci. 15, 99–116 (2011)\nValestrand, R., Nævdal, G., Stordal, A.S.: Application of the adaptive Gaussian mixture filter to history match a real field case. In: ECMOR XIII – 13 th European Conference on the Mathematics of Oil Recovery. EAGE, pp. 10–13 (2012)\nVo, H.X., Durlofsky, L.J.: A new differentiable parameterization based on prinicipal component analysis for the low-dimensional representation of complex geological models. Math. Geosci. 46, 775–813 (2014)\nVo, H.X., Durlofsky, L.J.: Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization. Comput. Geosci. 19, 747–767 (2015)",{"VOID":1685},"10.1007\u002Fs10596-017-9664-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10596-017-9664-x",[1688,1703],{"id":1689,"sortIndex":32,"researcher":28,"roles":1690,"affiliations":1691,"properties":1700,"displayName":1702,"givenName":28,"familyName":28},"1ab4cc6d-3f0d-4a50-b87d-2108e91c3f39",[1019],[1692],{"id":1693,"sortIndex":32,"affiliation":1694,"properties":28},"c643c086-c58c-4054-a377-bdef3f8fcc7b",{"id":1693,"createTime":28,"updateTime":28,"relativeEntities":1695,"slug":28,"properties":1696,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1699,"statistic":28},[],{"title":1697},{"EN":1698},"International Research Institute of Stavanger, Bergen, Norway",[],{"title":1701},{"VI":1702},"Andreas S. Stordal",{"id":1704,"sortIndex":40,"researcher":28,"roles":1705,"affiliations":1706,"properties":1713,"displayName":1715,"givenName":28,"familyName":28},"db1cb7e9-a5de-4d12-8339-bb060f9ba0ea",[1019],[1707],{"id":1693,"sortIndex":32,"affiliation":1708,"properties":28},{"id":1693,"createTime":28,"updateTime":28,"relativeEntities":1709,"slug":28,"properties":1710,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1712,"statistic":28},[],{"title":1711},{"EN":1698},[],{"title":1714},{"VI":1715},"Geir 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mortar space upscaling methods, a reservoir is decomposed into a series of subdomains (blocks) in which independently constructed numerical grids and possibly different physical models and discretization techniques can be employed in each block. Physically meaningful matching conditions are imposed on block interfaces in a numerically stable and accurate way using mortar finite element spaces. Coarse mortar grids and fine subdomain grids provide two-scale approximations. In the resulting effective solution flow is computed in subdomains on the fine scale while fluxes are matched on the coarse scale. In addition the flexibility to vary adaptively the number of interface degrees of freedom leads to more accurate multiscale approximations. This methodology has been implemented in the Center for Subsurface Modeling's multiphysics multiblock simulator IPARS (Integrated Parallel Accurate reservoir Simulator). Computational experiments demonstrate that this approach is scalable in parallel and it can be applied to non-matching grids across the interface, multinumerics and multiphysics models, and mortar adaptivity. Moreover unlike most upscaling approaches the underlying systems can be treated fully implicitly.",{"EN":1786},"Mortar Upscaling for Multiphase Flow in Porous Media",{"VOID":1788},"L. An, J. Glimm, D. Sharp and Q. Zhang, Scale up of flow in porous media, in: Mathematical Modeling of Flow through Porous Media, eds. A.P. Bourgeat, C. Carasso, S. Luckhaus and A. Mikelić (World Scientific, Singapore,1995) pp. 26–44.\nT. Arbogast, Numerical subgrid upscaling of two-phase flow in porous media, Technical Report 99-30, TICAM, University of Texas at Austin (1999).\nT. Arbogast, L. Cowsar, M.F. Wheeler and I. Yotov, Mixed finite element methods on non-matching multiblock grids, SIAM J. Numer. Anal. 37(4) (2000) 1295–1331.\nT. Arbogast, C. N. Dawson, P.T. Keenan, M.F. Wheeler and I. Yotov, Enhanced cell-centered finite differences for elliptic equations on general geometry, SIAM J. Sci. Comput. 19(1998) 404–425.\nT. Arbogast, S. Minkoff and P. Keenan, An operator-based approach to upscaling the pressure equation, in: Computational Methods in Water Resources XII, eds. V.N. Burganos et al. (Computational Mechanics Publications, Southampton, 1998) pp. 405–412.\nT. Arbogast, M.F. Wheeler and I. Yotov, Mixed finite elements for elliptic problems with tensor coef-ficients as cell-centered finite differences, SIAM J. Numer. Anal. 34(1997) 828–852.\nK. Aziz and A. Settari, Petroleum Reservoir Simulation (Applied Science, 1979).\nR.P. Batycky, M.J. Blunt and M.R. Thiele, A 3d multi-phase streamline simulator with gravity and changing well conditions, in: 17th Internat.Energy Agency Coll.Project on Enhanced Oil Recovery, Sydney, Australia, 29 September–2 October 1996.\nF. Ben Belgacem, The mortar finite element method with Lagrange multipliers, Numer. Math. 84(2) (1999) 173–197.\nF. Ben Belgacem, The mixed mortar finite element method for the incompressible Stokes problem: Convergence analysis, SIAM J. Numer. Anal. 37(4) (2000) 1085–1100.\nL. Bergamaschi, S. Mantica and G. Manzini, A mixed finite element-finite volume formulation of the blackoil model, SIAM J. Sci. Comput. 20(3) (1998) 970–997.\nC. Bernardi, Y. Maday and A.T. Patera, A new nonconforming approach to domain decomposition: The mortar element method, in: Nonlinear Partial Differential Equations and Their Applications,eds. H. Brezis and J.L. Lions (Longman Scientific & Technical, UK, 1994).\nA. Bourgeat, Homogenized behavior of two-phase flows in naturally fractured reservoirs with uniform fractures distribution, Comput. Methods Appl. Mech. Engrg. 47(1984) 205–216.\nF. Brezzi, L.P. Franca, T.J.R. Hughes and A. Russo, b =_g, Comput. Methods Appl. Mech. Engrg. 145(3\u002F4) (1997) 329–339.\nM.A. Christie, M. Mansfield, P.R. King, J.W. Barker and I.D. Culverwell, A renormalization-based upscaling technique for WAG floods in heterogeneous reservoirs, in: Expanded Abstracts (Society of Petroleum Engineers, 1995) pp. 353–361.\nK.H. Coats, L.K. Thomas and R.G. Pierson, Compositional and black oil reservoir simulator, in: 13th SPE Symposium on Reservoir Simulation, San Antonio, TX, 12–15 February 1995.\nL.C. Cowsar, J. Mandel and M.F. Wheeler, Balancing domain decomposition for mixed finite elements, Math. Comp. 64(211)(1995) 989–1015.\nC.N. Dawson, H. Klie, M.F. Wheeler and C. Woodward, A parallel, implicit, cell-centered method for two-phase flow with a preconditioned Newton–Krylov solver, Comput. Geosci. 1(1997) 215–249.\nJ. Douglas, R.E. Ewing and M.F. Wheeler, A time-discretization procedure for a mixed finite element approximation of miscible displacement in porous media, R.A.I.R.O. Analyse Numerique 17(1983) 249–265.\nL.J. Durlofsky, Numerical calculation of equivalent grid block permeability tensors for heterogeneous porous media, Water Resources Res. 27(5) (1991) 699–708.\nM.J. Economides and A.D. Hill, Petroleum Production Systems (Prentice-Hall, Englewood Cliffs, NJ, 1994).\nH.C. Edwards, A parallel multilevel-preconditioned GMRES solver for multiphase flow models in the implicit parallel accurate reservoir simulator, Technical Report 98-04, TICAM, University of Texas at Austin (1998).\nS.C. Eigenstat and H.F. Walker, Globally convergent inexact Newton method, SIAM J. Sci. Optim. 4 (1994) 393–422.\nR. Glowinski and M.F. Wheeler, Domain decomposition and mixed finite element methods for elliptic problems, in: Domain Decomposition Methods for Partial Differential Equations (SIAM, Philadelphia, PA, 1988) pp. 144–172.\nT.Y. Hou and X. Wu, A multiscale finite element method for elliptic problems in composite materials and porous media, J. Comput. Phys134(1) (1997) 169–189.\nT.J.R. Hughes, Multiscale phenomena: Green's functions, the Dirichlet-to-Neumann formulation, subgrid scale models, bubbles and the origins of stabilized methods, Comput. Methods Appl. Mech. Engrg. 127(1–4) (1995) 387–401.\nC.T. Kelley, Iterative Methods for Linear and Nonlinear Equations (SIAM, Philadelphia, PA, 1995).\nH. Klie, Krylov-secant methods for solving large scale systems of coupled nonlinear parabolic equations, Ph.D. thesis, Rice University, Houston, TX (1996).\nS. Lacroix, Y. Vassilevski and M.F. Wheeler, Iterative solvers of the implicit parallel accurate reservoir simulator (IPARS), to appear in Numer. Linear Algebra Appl.\nL.W. Lake, Enhanced Oil Recovery (Prentice-Hall, Englewood Cliffs, NJ, 1989).\nQ. Lu, A parallel multi-block multi-physics approach for multi-phase flow in porous media, Ph.D. thesis, The University of Texas at Austin (2000).\nQ. Lu, M. Peszynska and M.F. Wheeler, A parallel multi-block black-oil model in multi-model im-plementation, in: 2001 SPE Reservoir Simulation Symposium, Houston, TX, 2001, SPE 66359.\nQ. Lu, M. Peszynska, M.F. Wheeler and I. Yotov, Multiphysics and multinumerics couplings for multiphase flow in porous media, in preparation.\nC.C. Mattax and R.L. Dalton, Reservoir simulation, in: SPE Monograph Series, Vol. 13 (Richardson, Texas, 1990).\nN. Moes, J.T. Oden and K. Vemaganti, A two-scale strategy and a posteriori error estimation for modeling heterogeneous structures, in: On New Advances in Adaptive Computational Methods in Mechanics (Elsevier, Amsterdam, 1998).\nM. Parashar, J.A. Wheeler, J.C. Browne, G. Pope, K. Wang and P. Wang, A new generation EOS compositional reservoir simulator: Part II – framework and multiprocessing, in: 1997 SPE Reservoir Simulation Symposium, Houston, TX, 1997, SPE 37977.\nM. Parashar and I. Yotov, An environment for parallel multi-block, multi-resolution reservoir simulations, in: ISCA 11th Internat.Conf.on Parallel and Distributed Computing System, September 1998, pp. 230–235.\nD.W. Peaceman, Fundamentals of Numerical Reservoir Simulation,1sted.(ElsevierScientfic, Amsterdam, 1977).\nD.W. Peaceman, Interpretation of well-block pressure in numerical reservior simulation with non-square grid blocks and anisotropic permeability, Trans. AIME 275(1983) 10–22.\nG. Pencheva and I. Yotov, Balancing domain decomposition for porous media flow in multiblock domains, in: Summer Research Conf.on Fluid Flow and Transport in Porous Media: Mathematical and Numerical Treatment (Amer. Math. Soc., Providence, RI, 2001) to appear.\nM. Peszynska, Advanced techniques and algorithms for reservoir simulation, III: Multiphysics cou-pling for two phase flow in degenerate conditions, in: IMA Volumes on Resource Recovery (submitted August 2000).\nM. Peszynska, E. Jenkins and M.F. Wheeler, Boundary conditions for fully implicit two-phase flow model, submitted.\nM. Peszynska, Q. Lu and M.F. Wheeler, Coupling different numerical algorithms for two phase fluid flow, in: MAFELAP Proc.of Mathematics of Finite Elements and Applications, ed. J.R. Whiteman, Brunel University, Uxbridge, UK, 1999, pp. 205–214.\nM. Peszynska, Q. Lu and M.F. Wheeler, Multiphysics coupling of codes, in: Computational Methods in Water Resources, eds. L.R. Bentley, J.F. Sykes, C.A. Brebbia, W.G. Gray and G.F. Pinder (A.A. Balkema, 2000) pp. 175–182.\nD.K. Ponting, B.A. Foster, P.F. Naccache, M.O. Nicholas, R.K. Pollard, J. Rae, D. Banks and Walsh S.K., An efficient fully implicit simulator, in: European Offshore Petroleum Conference and Exihibition, 1980.\nR.A. Raviart and J.M. Thomas, A mixed finite element method for 2nd order elliptic problems, in: Mathematical Aspects of the Finite Element Method, Lecture Notes in Mathematics, Vol. 606 (Springer, New York, 1977) pp. 292–315.\nM. Snir, S. Otto, S. Huss-Lederman, D. Walker and J. Dongarra, MPI: The Complete Reference (MIT Press, Cambridge, MA, 1996).\nJ.A. Trangenstein and J.B. Bell, Mathematical structure of the black-oil model for petroleum reservoir simulation, SIAM J. Appl. Math. 49(3) (1989) 749–783.\nP. Wang, I. Yotov, M. Wheeler, T. Arbogast, C. Dawson, M. Parashar and K. Sephernoori, A new generation EOS compositional reservoir simulator: Part I – formulation and discretization, in: 1997 SPE Reservoir Simulation Symposium, Houston, TX, 1997, SPE 37979.\nM.F. Wheeler, Advanced techniques and algorithms for reservoir simulation, II: The multiblock approach in the integrated parallel accurate reservoir simulator (IPARS), in: IMA Volume on Resource Recovery (submitted August 2000).\nM.F. Wheeler, T. Arbogast, S. Bryant, J. Eaton, Q. Lu, M. Peszynska and I. Yotov, A parallel multi-block\u002F multidomain approach for reservoir simulation, in: 1999 SPE Symposium on Reservoir Simulation, Houston, TX, 1999, SPE 51884.\nM.F. Wheeler, M. Peszynska, X. Gai and O. El-Domeiri, Modeling subsurface flow on pc cluster, in: High Performance Computing, ed. A. Tentner (SCS, 2000) pp. 318–323.\nM.F. Wheeler, J.A. Wheeler and M. Peszynska, A distributed computing portal for coupling multi-physics and multiple domains in porous media, in: Computational Methods in Water Resources, eds. L.R. Bentley, J.F. Sykes, C.A. Brebbia, W.G. Gray and G.F. Pinder (A.A. Balkema, 2000) pp. 167–174.\nM.F. Wheeler and I. Yotov, Physical and computational domain decompositions for modeling sub-surface flows, in: Tenth Internat.Conf.on Domain Decomposition Methods, ed. J. Mandel et al., Contemporary Mathematics, Vol. 218(Amer. Math. Soc., Providence, RI, 1998) pp. 217–228.\nI. Yotov, Mixed finite element methods for flow in porous media, Ph.D. thesis, Rice University, Houston,TX (1996), TR96-09, Department of Comp. Appl. Math., Rice University and TICAM Report 96-23, University of Texas at Austin.\nI. Yotov, A mixed finite element discretization on non-matching multiblock grids for a degenerate parabolic equation arising in porous media flow, East–West J. Numer. MAth. 5(1997) 211–230.\nI. Yotov, Interface solvers and preconditioners of domain decomposition type for multiphase flow in multiblock porous media, in: Advances in Computation: Theory and Practice,eds. P.Minev, Y.Lin and Y.S. Wong, Vol. 7(Nova Science, 2001) pp. 157–167.\nT.I. Zohdi, J.T. Oden and G.J. Rodin, Hierarchical modeling of heterogeneous bodies, Comput. Methods Appl. Mech. Engrg. 138(1996) 273–298.",{"VOID":1790},"10.1023\u002FA:1016529113809","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1023\u002FA:1016529113809",[1793,1808,1821],{"id":1794,"sortIndex":32,"researcher":28,"roles":1795,"affiliations":1796,"properties":1805,"displayName":1807,"givenName":28,"familyName":28},"cc47fb9e-2ce1-4262-8485-c780662aede2",[1019],[1797],{"id":1798,"sortIndex":32,"affiliation":1799,"properties":28},"7f5ae5d9-91bc-4ccc-afb9-6bcac92fa02a",{"id":1798,"createTime":28,"updateTime":28,"relativeEntities":1800,"slug":28,"properties":1801,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1804,"statistic":28},[],{"title":1802},{"VI":1803},"Texas Institute for Computational and Applied Mathematics, University of Texas, Austin, USA",[],{"title":1806},{"VI":1807},"Małgorzata Peszyńska",{"id":1809,"sortIndex":40,"researcher":28,"roles":1810,"affiliations":1811,"properties":1818,"displayName":1820,"givenName":28,"familyName":28},"7cc4411f-8deb-41c1-a714-02edb5fe5dea",[1019],[1812],{"id":1798,"sortIndex":32,"affiliation":1813,"properties":28},{"id":1798,"createTime":28,"updateTime":28,"relativeEntities":1814,"slug":28,"properties":1815,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1817,"statistic":28},[],{"title":1816},{"VI":1803},[],{"title":1819},{"VI":1820},"Mary F. 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paper presents a computer tool that automatically predicts mining subsidence using the generalized n-k-g influence function detailed in (González Nicieza et al. Int J Rock Mech Min Sci 42(3):372–387, 2005). This function depends on two physical concepts: the first is gravity, which characterizes the forces acting on the ground, and the second, the convergence of the roof and floor of the mine workings due to the stress state of the ground. The developed tool also allows other influence functions to be used to predict subsidence, namely the spatial influence function (Ramírez Oyanguren et al. 2000) and the normal-type classical (Knothe, Arch Gór Hut 1, 1952) and modified (González Nicieza et al. Bull Eng Geol Environ 66(3):319–329, 2007) time functions. Moreover, the inputting and periodic updating of data from subsidence monitoring surveys is controlled by one of the tool’s modules using a method that minimizes errors resulting from time discontinuities in landmarks measurements. In addition, when actual landmarks measurements exist, the developed tool allows calibration of the subsidence parameters, minimizing the errors between actual measurements and those obtained by prediction. The tool includes a viewer, developed using OpenGL, which enables the results of the calculations carried out to be viewed, allowing the point of view to be varied. It also includes the option of viewing and saving the results of the calculations carried out over the original topographic plane defined in the AutoCAD DXF data file format. The efficacy of the tool is demonstrated via its application to a real case of mining work carried out in a village in the Principality of Asturias, Spain.",{"EN":1909},"Computation of influence functions for automatic mining subsidence prediction",{"VOID":1911},"Holla, L.: Ground movement due to longwall mining in high relief areas in New South Wales, Australia. International Journal Rock Mechanics and Mining Sciences 34(5), 775–787 (1997)\nGonzález Nicieza, C., Díaz Aguado, M.B., Álvarez Fernández, M.I., Solar Menéndez, J.B.: Subsidence analysis and prediction based on a real case. 30th International Conference of Safety in Mines Research Institutes, Johannesburg (2003)\nLi, X., Wang, S.J., Liu, T.Y., Ma, F.S.: Engineering geology, ground surface movement and fissures induced by underground mining in the Jinchuan Nickel Mine. Engineering Geology 76(1–2), 93–107 (2004)\nDeng, J., Bian, L.: Investigation and characterization of mining subsidence in Kaiyang Phosphorus Mine. J. Cent. South Univ. Technol. 14(3), 413–417 (2007)\nBaek, J., Kim, S.W., Park, H.J., Jung, H.S., Kim, K.D., Kim, J.W.: Analysis of ground subsidence in coal mining area using SAR interferometry. Geosci. J. 12(3), 277–284 (2008)\nGeneral Institute of Mining Surveying: The movements of the rock masses and of the surface in the main coal fields from the Soviet Union. Ugletkhizdat, Moscow (1958)\nNational Coal Board: Subsidence engineer’s handbook. National Coal Board, London (1975)\nOu, Z., Zhu, J.: Improving the Pearson function method for the calculation of surface movement after mining a steep seam. Coal Science & Technology, Beijing (1984)\nRodriguez Díez, R., Toraño Alvarez, J.: Hypothesis of the multiple subsidence trough related to very steep and vertical coal seams and its prediction through profile functions. Geotech. Geolog. Eng. 18, 289–311 (2000)\nCoulthard, M.A., Dutton, A.J.: Numerical modelling of subsidence induced by underground coal mining. Key Questions in Rock Mechanics 1988. In: Proceedings of the 29th United States Rock Mechanics Symposium, pp. 529–536. Missouri (1988)\nYao, X.L., Reddish, D.J., Whittaker, B.N.: Non linear finite element analysis of surface subsidence arising from inclined seam extraction. International Journal of Rock Mechanics & Mining Sciences 30(45), 431–441 (1993)\nAlejano, L.R.: Hundimientos mineros: un método de predicción aplicado a capas de carbón horizontales e inclinadas y a explotaciones potásicas. Ph. D. Thesis. Escuela Técnica Superior de Ingenieros de Minas. Universidad Politécnica de Madrid (1996)\nGonzález Nicieza, C., Álvarez Fernández, M.I., Menéndez Díaz, A., Álvarez Vigil, A.E.: The new three-dimensional subsidence influence function denoted by n–k–g. Int. J. Rock Mech. Min. Sci. 42(3), 372–387 (2005)\nRamírez Oyanguren, P., Rambaud Perez, C., et al.: Hundimientos mineros: Métodos de Cálculo. Instituto Tecnológico Geominero de España, Madrid (2000)\nBeyer, F.: On predicting ground deformations due to mining flat seams. Habilitation Thesis, Tech. Univ. Berlin (1945)\nLitwiniszyn, J.: The theories and model research of movements of ground masses. Proceedings European Congress on Ground Movement, pp 202–209. University of Leeds (1957)\nEhrhardt, W., Sauer, A.: Precalculation of subsidence, tilt and curvature over extractions in flat formations. Proceedings Symposium on Rock Mechanics. Kracow (1961)\nLin, S., Whittaker, B., Reddish, D.J.: Application of asymmetrical influence functions for subsidence prediction of gently inclined seam extractions. Int. J. Rock Mech. Min. Sci. Geomech. 29(5), 479–490 (1992)\nSheorey, P.R., Loui, J.P., Singh, K.B., Singh, S.K.: Ground subsidence observations and a modified influence function method for complete subsidence prediction. Int. J. Rock Mech. Min. Sci. 37(5), 801–818 (2000)\nKnothe, S.: Time influence on a formation of a subsidence surface. Arch. Gór. Hut. 1 (1952)\nJarosz, A., Karmis, M., Sroka, A.: Subsidence development with time experiences from longwall operations. Geotech. Geolog. Eng. 8(3), 261–273 (1990)\nCui, X., Wang, J., Liu, Y.: Prediction of progressive surface subsidence above longwall coal mining using a time function. Int. J. Rock Mech. Min. Sci. 38, 1057–1063 (2001)\nÁlvarez Fernández, M.I., González Nicieza, C., Menéndez Díaz, A., Álvarez Vigil, A.E.: Generalization of the n-k influence function to predict mining subsidence. Eng. Geol. 80, 1–36 (2005)\nGonzález Nicieza, C., Álvarez Fernández, M.I., Menéndez Díaz, A., Álvarez Vigil, A.E.: The influence of time on subsidence in the Central Asturias Coalfield. Bull. Eng. Geol. Environ. 66(3), 319–329 (2007)",{"VOID":1913},"10.1007\u002Fs10596-009-9134-1","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10596-009-9134-1",[1916,1931,1946],{"id":1917,"sortIndex":32,"researcher":28,"roles":1918,"affiliations":1919,"properties":1928,"displayName":1930,"givenName":28,"familyName":28},"429a52d6-dea3-4d32-9ac6-0ace761db44b",[1019],[1920],{"id":1921,"sortIndex":32,"affiliation":1922,"properties":28},"8bcf627a-d969-4495-adda-a5f406262d53",{"id":1921,"createTime":28,"updateTime":28,"relativeEntities":1923,"slug":28,"properties":1924,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1927,"statistic":28},[],{"title":1925},{"VI":1926},"Department of Computing, Polytechnic School of Engineering, University of Oviedo, Gijón, Spain",[],{"title":1929},{"VI":1930},"M. E. Díaz-Fernández",{"id":1932,"sortIndex":40,"researcher":28,"roles":1933,"affiliations":1934,"properties":1943,"displayName":1945,"givenName":28,"familyName":28},"e4fd62f7-27b5-482a-9e4f-1b38d807f734",[1019],[1935],{"id":1936,"sortIndex":32,"affiliation":1937,"properties":28},"5ac0add9-995b-4e48-b4a7-7af4bed8b306",{"id":1936,"createTime":28,"updateTime":28,"relativeEntities":1938,"slug":28,"properties":1939,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1942,"statistic":28},[],{"title":1940},{"VI":1941},"Department of Mining Engineering, Mining Engineering School, University of Oviedo, Asturias, Spain",[],{"title":1944},{"VI":1945},"M. I. Álvarez-Fernández",{"id":1947,"sortIndex":123,"researcher":28,"roles":1948,"affiliations":1949,"properties":1958,"displayName":1960,"givenName":28,"familyName":28},"01c955f2-32b9-43d1-8d9e-937e7a543139",[1019],[1950],{"id":1951,"sortIndex":32,"affiliation":1952,"properties":28},"013c728e-e060-48d8-ad66-ab90cd70a4fc",{"id":1951,"createTime":28,"updateTime":28,"relativeEntities":1953,"slug":28,"properties":1954,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1957,"statistic":28},[],{"title":1955},{"VI":1956},"Department of Mathematics, Mining Engineering School, University of Oviedo, Asturias, Spain",[],{"title":1959},{"VI":1960},"A. E. Álvarez-Vigil",{"url":1914,"publisher":1962,"properties":2016},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1963,"slug":872,"properties":1964,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1968,"manageAffiliations":1985,"indexDatabases":1996,"url":28,"thumbnailPath":28,"statistic":2011,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":1965,"title":1966,"eissn":1967},{"VOID":877},{"EN":879},{"VOID":875},[1969,1973,1977,1981],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":1970,"label":1971,"description":1972,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},{"id":891,"createTime":28,"updateTime":28,"relativeEntities":1974,"label":1975,"description":1976,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":894},{},{"id":897,"createTime":28,"updateTime":28,"relativeEntities":1978,"label":1979,"description":1980,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":900},{},{"id":903,"createTime":28,"updateTime":28,"relativeEntities":1982,"label":1983,"description":1984,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":906},{},[1986,1991],{"id":910,"createTime":28,"updateTime":28,"relativeEntities":1987,"slug":28,"properties":1988,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1990,"statistic":28},[],{"title":1989},{"EN":914},[916],{"id":918,"createTime":28,"updateTime":28,"relativeEntities":1992,"slug":28,"properties":1993,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1995,"statistic":28},[],{"title":1994},{"EN":922},[],[1997,2004],{"id":926,"indexDatabase":1998,"url":938,"indexYears":28,"academicFieldIds":2003,"indexDatabaseRanking":28},{"id":928,"createTime":28,"updateTime":28,"relativeEntities":1999,"label":2000,"description":2001,"key":935,"publicationTags":2002,"standard":28},[],{"EN":931,"VI":931},{"EN":933,"VI":934},[937,813],[816,940],{"id":942,"indexDatabase":2005,"url":948,"indexYears":949,"academicFieldIds":2010,"indexDatabaseRanking":955},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":2006,"label":2007,"description":2008,"key":781,"publicationTags":2009,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[951,952,953,954],{"impactFactor":32,"impactFactorByYear":2012,"i10Index":330,"i10IndexLast5Year":127,"totalPublication":961,"totalPublicationByYear":2013,"totalCitation":963,"totalCitationByYear":2014,"totalCitationPerPublication":976,"totalCitationPerPublicationByYear":2015,"hindexLast5Year":148,"hindex":148},{"2012":958,"2013":113,"2014":289,"2015":424,"2016":229,"2017":346,"2018":346,"2019":820,"2020":696,"2021":959,"2022":173,"2023":960},{"1997":205,"1998":146,"1999":205,"2000":145,"2001":146,"2002":122,"2003":146,"2004":47,"2005":357,"2006":134,"2007":128,"2008":138,"2009":137,"2010":132,"2011":133,"2012":141,"2013":278,"2014":325,"2015":328,"2016":152,"2017":159,"2018":516,"2019":560,"2020":611,"2021":156,"2022":149,"2023":436,"2024":49},{"2004":965,"2005":140,"2006":966,"2007":134,"2008":325,"2009":520,"2010":967,"2011":968,"2012":334,"2013":969,"2014":970,"2015":567,"2016":971,"2017":972,"2018":973,"2019":354,"2020":974,"2021":975,"2022":148,"2023":48},{"2004":978,"2005":979,"2006":980,"2007":741,"2008":705,"2009":238,"2010":981,"2011":982,"2012":983,"2013":984,"2014":985,"2015":986,"2016":987,"2017":988,"2018":989,"2019":990,"2020":991,"2021":992,"2022":347,"2023":104},{"pages":2017,"volume":2019},{"VOID":2018},"83-103",{"VOID":1667},"2009-03-25",[955,937],{"id":2023,"createTime":2024,"updateTime":2025,"relativeEntities":2026,"slug":2027,"properties":2028,"entityType":1012,"verifyStatus":26,"verifyTime":2025,"verifyNote":1013,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":2037,"fullTextUrl":28,"authors":2038,"publicationType":1068,"publisherRelationship":2068,"citationCount":28,"citationInfo":28,"publishDate":2128,"publishYear":2129,"citationAnalyzeStatus":882,"lastCitationAnalyze":28,"indexDatabases":2130,"openAccess":28,"references":28,"isForceReanalyzing":1132},"03026627-4243-491f-924e-6d00e9760f49","2024-01-08T05:29:53.337+00:00","2024-12-30T13:46:43.999+00:00",[],"A-coupling-of-mixed-and-continuous-Galerkin-finite-element-methods-for-poroelasticity-II-the-discrete-in-time-case",{"abstract":2029,"title":2031,"references":2033,"doi":2035},{"EN":2030},"In this paper, we formulate a finite element procedure for approximating the coupled fluid and mechanics in Biot’s consolidation model of poroelasticity. Here, we approximate the pressure by a mixed finite element method and the displacements by a Galerkin method. Theoretical convergence error estimates are derived in a discrete-in-time setting. Of particular interest is the case when the lowest-order Raviart–Thomas approximating space or cell-centered finite differences are used in the mixed formulation and continuous piecewise linear approximations are used for displacements. This approach appears to be the one most frequently applied to existing reservoir engineering simulators.",{"EN":2032},"A coupling of mixed and continuous Galerkin finite element methods for poroelasticity II: the discrete-in-time case",{"VOID":2034},"Bangerth, W., Hartmann, R., Kanschat, G.: deal.II—A general purpose object oriented finite element library. Report ISC-06-02-MATH, Institute for Scientific Computation, Texas A&M University, College Station (2006)\nBarry, S., Mercer, G.: Exact solutions for two-dimensional time dependent flow and deformation within a poroelastic medium. J. Appl. Mech. 66, 536–540 (1999)\nBiot, M.: General theory of three-dimensional consolidation. J. Appl. Phys. 2, 155–164 (1941)\nBiot, M.: Theory of elasticity and consolidation for a porous anisotropic media. J. Appl. Phys. 26(2), 182–185 (1955)\nBrenner, S., Scott, L.: The Mathematical Theory of Finite Element Methods. Springer, Berlin Heidelberg New York (1994)\nCoussy, O.: Poromechanics. Wiley, New York (2004)\nGautschi, W.: Numerical Analysis: An Introduction. Birkhäuser, Boston (1997)\nLipnikov, K.: Numerical methods for the Biot model in poroelasticity. Ph.D. thesis, University of Houston (2002)\nMurad, M., Loula, A.: Improved accuracy in finite element analysis of Biot’s consolidation problem. Comput. Methods Appl. Mech. Eng. 95, 359–382 (1992)\nNedelec, J.: Mixed finite elements in \\({\\mathbb R3}\\). Numer. Math. 35, 315–341 (1980)\nPhillips, P.J.,Wheeler,M.F.: A coupling of mixed and continuous Galerkin finite elements for poroelasticity I: the continuous in time case. Comput. Geosci. doi:10.1007\u002Fs10596-007-9045-y (2007)\nRaviart, R., Thomas, J.: Mixed finite element method for second order elliptic problems. In: Galligani, I., Magenes, E. (eds.) Mathematical Aspects of the Finite Element Method. Lecture Notes in Mathematics, vol. 606, pp. 292–315. Springer, Berlin Heidelberg New York (1977)\nRivière, B., Wheeler, M.: Discontinuous Galerkin method applied to non- linear parabolic problems. In: Cockburn, B., Karniadakis, G., Shu, C.-W. (eds.) Discontinuous Galerkin Methods: Theory, Computation, and Applications. Lecture Notes in Computational Science and Engineering Edition, vol. 11. Springer, Berlin Heidelberg New York (1999)\nRivière, B., Wheeler, M.: Optimal error estimates applied to linear elasticity. Technical Report, ICES Report. ICES, Austin (2000)\nShowalter, R.E.: Diffusion in poro-elastic media. J. Math. Anal. Appl. 251, 310–340 (2000)\nTerzaghi, K.: Die Berechnung der Durchlassigkeits-ziffer des Tones aus dem Verlauf der hydrodynamischen Spannungserscheinungen. Sitzung Berichte. Akadamie der Wissenschaften, Wien Mathematisch-Naturwissenschaftliche Klasse, Abteilung IIa. 132, 105–124 (1923)\nTerzaghi, K.: Theoretical Soil Mechanics. Wiley, New York (1943)\nWheeler, M.F.: A priori L2 error estimates for Galerkin approximations to parabolic partial differential equations. SIAM J. Numer. Anal. 10, 723–759 (1973)",{"VOID":2036},"10.1007\u002Fs10596-007-9044-z","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs10596-007-9044-z",[2039,2054],{"id":2040,"sortIndex":32,"researcher":28,"roles":2041,"affiliations":2042,"properties":2051,"displayName":2053,"givenName":28,"familyName":28},"69df0869-0ee7-4317-8f08-8c8439bde608",[1019],[2043],{"id":2044,"sortIndex":32,"affiliation":2045,"properties":28},"211b9a1f-0627-41ab-b6fc-7d080e52f154",{"id":2044,"createTime":28,"updateTime":28,"relativeEntities":2046,"slug":28,"properties":2047,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2050,"statistic":28},[],{"title":2048},{"VI":2049},"Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, Austin, USA",[],{"title":2052},{"VI":2053},"Phillip Joseph Phillips",{"id":2055,"sortIndex":40,"researcher":28,"roles":2056,"affiliations":2057,"properties":2066,"displayName":1820,"givenName":28,"familyName":28},"17cbe24a-ec9d-47f1-bdbc-e4e448a3118e",[1019],[2058],{"id":2059,"sortIndex":32,"affiliation":2060,"properties":28},"652257bf-7eab-4e86-ace3-1ab506f8812e",{"id":2059,"createTime":28,"updateTime":28,"relativeEntities":2061,"slug":28,"properties":2062,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2065,"statistic":28},[],{"title":2063},{"VI":2064},"CSM, ICES, Department of Aerospace Engineering and Engineering Mechanics, Department of Petroleum Engineering and Geosystems Engineering, University of Texas at Austin, Austin, USA",[],{"title":2067},{"VI":1820},{"url":2037,"publisher":2069,"properties":2123},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":2070,"slug":872,"properties":2071,"entityType":25,"verifyStatus":882,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":2075,"manageAffiliations":2092,"indexDatabases":2103,"url":28,"thumbnailPath":28,"statistic":2118,"gsStatistic":28,"type":55,"analyzePriority":28},[],{"issn":2072,"title":2073,"eissn":2074},{"VOID":877},{"EN":879},{"VOID":875},[2076,2080,2084,2088],{"id":885,"createTime":28,"updateTime":28,"relativeEntities":2077,"label":2078,"description":2079,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":888},{},{"id":891,"createTime":28,"updateTime":28,"relativeEntities":2081,"label":2082,"description":2083,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":894},{},{"id":897,"createTime":28,"updateTime":28,"relativeEntities":2085,"label":2086,"description":2087,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":900},{},{"id":903,"createTime":28,"updateTime":28,"relativeEntities":2089,"label":2090,"description":2091,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":906},{},[2093,2098],{"id":910,"createTime":28,"updateTime":28,"relativeEntities":2094,"slug":28,"properties":2095,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2097,"statistic":28},[],{"title":2096},{"EN":914},[916],{"id":918,"createTime":28,"updateTime":28,"relativeEntities":2099,"slug":28,"properties":2100,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2102,"statistic":28},[],{"title":2101},{"EN":922},[],[2104,2111],{"id":926,"indexDatabase":2105,"url":938,"indexYears":28,"academicFieldIds":2110,"indexDatabaseRanking":28},{"id":928,"createTime":28,"updateTime":28,"relativeEntities":2106,"label":2107,"description":2108,"key":935,"publicationTags":2109,"standard":28},[],{"EN":931,"VI":931},{"EN":933,"VI":934},[937,813],[816,940],{"id":942,"indexDatabase":2112,"url":948,"indexYears":949,"academicFieldIds":2117,"indexDatabaseRanking":955},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":2113,"label":2114,"description":2115,"key":781,"publicationTags":2116,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[951,952,953,954],{"impactFactor":32,"impactFactorByYear":2119,"i10Index":330,"i10IndexLast5Year":127,"totalPublication":961,"totalPublicationByYear":2120,"totalCitation":963,"totalCitationByYear":2121,"totalCitationPerPublication":976,"totalCitationPerPublicationByYear":2122,"hindexLast5Year":148,"hindex":148},{"2012":958,"2013":113,"2014":289,"2015":424,"2016":229,"2017":346,"2018":346,"2019":820,"2020":696,"2021":959,"2022":173,"2023":960},{"1997":205,"1998":146,"1999":205,"2000":145,"2001":146,"2002":122,"2003":146,"2004":47,"2005":357,"2006":134,"2007":128,"2008":138,"2009":137,"2010":132,"2011":133,"2012":141,"2013":278,"2014":325,"2015":328,"2016":152,"2017":159,"2018":516,"2019":560,"2020":611,"2021":156,"2022":149,"2023":436,"2024":49},{"2004":965,"2005":140,"2006":966,"2007":134,"2008":325,"2009":520,"2010":967,"2011":968,"2012":334,"2013":969,"2014":970,"2015":567,"2016":971,"2017":972,"2018":973,"2019":354,"2020":974,"2021":975,"2022":148,"2023":48},{"2004":978,"2005":979,"2006":980,"2007":741,"2008":705,"2009":238,"2010":981,"2011":982,"2012":983,"2013":984,"2014":985,"2015":986,"2016":987,"2017":988,"2018":989,"2019":990,"2020":991,"2021":992,"2022":347,"2023":104},{"pages":2124,"volume":2126},{"VOID":2125},"145-158",{"VOID":2127},"11","2007-03-23",2007,[955,937],{"id":2132,"createTime":2133,"updateTime":2134,"relativeEntities":2135,"slug":2136,"properties":2137,"entityType":1012,"verifyStatus":26,"verifyTime":2148,"verifyNote":1013,"languages":28,"translateLanguages":28,"viewCount":40,"primaryUrl":2149,"fullTextUrl":28,"authors":2150,"publicationType":1068,"publisherRelationship":2215,"citationCount":28,"citationInfo":28,"publishDate":2275,"publishYear":2276,"citationAnalyzeStatus":882,"lastCitationAnalyze":2277,"indexDatabases":2278,"openAccess":28,"references":28,"isForceReanalyzing":1132},"033c7fec-9417-468e-8116-621a6ce52178","2024-02-12T11:05:55.016+00:00","2026-05-17T01:01:13.991+00:00",[],"The-LBPM-software-package-for-simulating-multiphase-flow-on-digital-images-of-porous-rocks",{"abstract":2138,"title":2140,"gsPaper":2142,"references":2144,"doi":2146},{"EN":2139},"Direct pore scale simulations of two-fluid flow on digital rock images provide a promising tool to understand the role of surface wetting phenomena on flow and transport in geologic reservoirs. We present computational protocols that mimic conventional special core analysis laboratory (SCAL) experiments, which are implemented within the open source LBPM software package. Protocols are described to simulate unsteady displacement, steady-state flow at fixed saturation, and to mimic centrifuge experiments. These methods can be used to infer relative permeability and capillary curves, and otherwise understand two-fluid flow behavior based on first principles. Morphological tools are applied to assess image resolution, establish initial conditions, and instantiate surface wetting maps based on the distribution of fluids. Internal analysis tools are described that measure essential aspects of two-fluid flow, including fluid connectivity and surface measures, which are used to track transient aspects of the flow behavior as they occur during simulation. Computationally efficient workflows are developed by combining these components with a two-fluid lattice Boltzmann model to define hybrid methods that can accelerate computations by using morphological tools to incrementally evolve the pore-scale fluid distribution. We show that the described methods can be applied to recover expected trends due to the surface wetting properties based on flow simulation in Benntheimer sandstone.",{"EN":2141},"The LBPM software package for simulating multiphase flow on digital images of porous rocks",{"VOID":2143},"[\"17842783383386419930\"]",{"VOID":2145},"LBPM software package. https:\u002F\u002Fgithub.com\u002Fopm\u002Flbpm (2020)\nOpen Porous Media Project: https:\u002F\u002Fopm-project.org\u002F (2020)\nBlunt, M.J., Bijeljic, B., Dong, H., Gharbi, O., Iglauer, S., Mostaghimi, P., Paluszny, A., Pentland, C.: Adv. Water Resour. 51, 197 (2013). https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.advwatres.2012.03.003\nBear, J.: Dynamics of fluids in porous media. Dover Civil and Mechanical Engineering Series. https:\u002F\u002Fbooks.google.com\u002Fbooks?id=lurrmlFGhTEC (1988)\nMualem, Y.: Water Resources Res. 12 (3), 513 (1976). https:\u002F\u002Fdoi.org\u002F10.1029\u002FWR012i003p00513\nDalton, L.: Bentheimer and nugget residual saturation micro-computed tomography data. http:\u002F\u002Fwww.digitalrocksportal.org\u002Fprojects\u002F218. https:\u002F\u002Fdoi.org\u002F10.17612\u002FP73H4B (2019)\nRamstad, T.: Bentheimer micro-CT with waterflood. http:\u002F\u002Fwww.digitalrocksportal.org\u002Fprojects\u002F172. https:\u002F\u002Fdoi.org\u002F10.17612\u002FP7795W (2018)\nWildenschild, D., Sheppard, A.P.: Adv. Water Resour. 51, 217 (2013). https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.advwatres.2012.07.018\nDarcy, H.: Les Fontaines Publiques De La Ville De Dijon. Victor Dalmont, Paris. https:\u002F\u002Fbooks.google.com\u002Fbooks?id=42EUAAAAQAAJ (1856)\nJadhunandan, P.P., Morrow, N.R.: SPE Reserv. Eng. 10(1), 22597 (1995). https:\u002F\u002Fdoi.org\u002F10.2118\u002F22597-PA\nRamstad, T., Idowu, N., Nardi, C., Øren, P.E.: Transp Porous Media 94(2), 487 (2012). https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11242-011-9877-8\nAdamson, A., Gast, A: Physical Chemistry of Surfaces. Wiley, New Jersey (1997)\nMuccino, J.C., Gray, W.G., Ferrand, L.A.: Rev. Geophys. 36(3), 401 (1998). https:\u002F\u002Fdoi.org\u002F10.1029\u002F98RG00878\nLenormand, R., Zarcone, C.: Transp. Porous Media 4(6), 599 (1989). https:\u002F\u002Fdoi.org\u002F10.1007\u002FBF00223630\nErpelding, M., Sinha, S., Tallakstad, K.T., Hansen, A., Flekkoy, E.G., Maloy, K.J.: Phys. Rev. E. 88(5). https:\u002F\u002Fdoi.org\u002F10.1103\u002FPhysRevE.88.053004 (2013)\nDye, A.L., McClure, J.E., Miller, C.T., Gray, W.G.: Phys. Rev. E 87, 033012 (2013). https:\u002F\u002Fdoi.org\u002F10.1103\u002FPhysRevE.87.033012\nMcClure, J., Gray, W., Miller, C.: Transp. Porous Media 84, 535 (2010). https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11242-009-9518-7\nLatva-Kokko, M., Rothman, D.: Phys. Rev. E. 71(5, Part 2). https:\u002F\u002Fdoi.org\u002F10.1103\u002FPhysRevE.71.056702 (2005)\nLatva-Kokko, M., Rothman, D.H.: Phys. Rev. Lett. 98(25). https:\u002F\u002Fdoi.org\u002F10.1103\u002FPhysRevLett.98.254503 (2007)\nWardlaw, N., Li, Y.: Transp. Porous Media 3(1), 17 (1988). https:\u002F\u002Fdoi.org\u002F10.1007\u002FBF00222684\nJerauld, G., Salter, S.: Transp. Porous Media 5 (2), 103 (1990). https:\u002F\u002Fdoi.org\u002F10.1007\u002FBF00144600\nVogel, H.: In: Mecke, K., Stoyan, D. (eds.) Morphology of Condensed matter: Physics and Geometry of Spatially Complex Systems, Lecture Notes in Physics. 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SCA Symposium, Aberdeen, SCOTLAND, AUG 27–30, 2012\nJiang, F., Tsuji, T.: Water Resour. Res. 53(1), 11–32 (2017)\nJoekar-Niasar, V., van Dijke, M.I.J., Hassanizadeh, S.M.: Transport in Porous Media 94(2, SI), 461 (2012). https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11242-012-0047-4\nGeller, S., Krafczyk, M., Tolke, J., Turek, S., Hron, J.: Comput. Fluids 35(8-9), 888 (2006). https:\u002F\u002Fdoi.org\u002F10.1007\u002F3-540-34596-5_11\nJiang, F., Tsuji, T.: Int. J. Greenhouse Gas Control 49, 179–191 (2016). https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijggc.2016.03.006\nJiang, F., Tsuji, T.: Water Resour. Res. 51(3), 1710–1722 (2015)\nLiu, H., Valocchi, A.J., Werth, C., Kang, Q., Oostrom, M.: Adv. 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