Tác động của sự phân bố các mặt khoáng phản ứng đến tính chất hấp thụ radionuclide trong các loại đá granite không đồng nhất đa quy mô

Springer Science and Business Media LLC - Tập 31 - Trang 1581-1597 - 2023
Wei Chen1,2, Zhenxue Dai1,2, Javier Samper3, Hui Ling4, Chuanjun Zhan1,2, Funing Ma1,2, Zhijie Yang1,2, Xiaoying Zhang1,2, Mohamad Reza Soltanian5
1Institute of Intelligent Simulation and Early Warning for Subsurface Environment, Jilin University, Changchun, China
2College of Construction Engineering, Jilin University, Changchun, China
3Centro Interdisciplinar de Química y Biología, ETS Ingenieros de Caminos, University of Coruña, A Coruña, Spain
4CNNC Key Laboratory on Geological Disposal of High-level Radioactive Waste, Beijing Research Institute of Uranium Geology, Beijing, China
5Departments of Geology and Environmental Engineering, University of Cincinnati, Cincinnati, USA

Tóm tắt

Việc mô hình hóa sự vận chuyển phản ứng của radionuclide trong các đá chủ là một trong những thách thức lớn nhất đối với việc đánh giá hiệu suất và an toàn của các kho chứa rác thải phóng xạ mức cao. Tính không đồng nhất của đá có ảnh hưởng đáng kể đến các ảnh hưởng quy mô của các thông số dòng chảy và vận chuyển chất hòa tan như hệ số hấp thụ. Việc quy mô hóa hệ số hấp thụ radionuclide liên quan đến sự phân bố của các mặt khoáng phản ứng (RMF) trong các đá nứt, có thể được mô phỏng bằng các phương pháp địa thống kê dựa trên xác suất chuyển tiếp. Các phân tích địa thống kê và hóa địa hóa học của sự phân bố RMF được thực hiện trên các mẫu granite lấy từ địa điểm Beishan ở tây bắc Trung Quốc. Bài báo này trình bày một phương pháp để xác định RMF bằng cách sử dụng mô hình nhận dạng khoáng sản dựa trên học sâu. Tỷ lệ thể tích và chiều dài trung bình của RMF được ước lượng một cách chính xác theo cách này so với kết quả phân tích nhiễu xạ X-ray. Phương pháp này khắc phục được những hạn chế của các phương pháp truyền thống vốn mang tính chất chủ quan và có độ chính xác thấp hơn. Kết quả cho thấy mô hình hiệp phương sai tổng hợp của các hệ số hấp thụ liên quan đến tỷ lệ thể tích và chiều dài trung bình của RMF. Hệ số hấp thụ hiệu quả được thu được bằng mô hình quy mô lớn lớn hơn trung bình hình học và nhỏ hơn trung bình số học. Hơn nữa, thông qua phân tích độ nhạy toàn cầu, người ta phát hiện rằng các yếu tố làm chậm trung bình có tác động lớn nhất đến hệ số hấp thụ hiệu quả. Kết quả của nghiên cứu này cung cấp thông tin quan trọng để nâng cao hiểu biết về quá trình vận chuyển radionuclide trong granite nứt.

Từ khóa

#radionuclide #hấp thụ #mặt khoáng phản ứng #granite không đồng nhất #mô hình học sâu

Tài liệu tham khảo

Allen-King RM, Halket RM, Gaylord DR, Robin MJL (1998) Characterizing the heterogeneity and correlation of perchloroethene sorption and hydraulic conductivity using a facies-based approach. Water Resour Res 34(3):385–396 Allen-King RM, Divine DP, Robin MJL, Alldredge JR, Gaylord DR (2006) Spatial distributions of perchloroethylene reactive transport parameters in the Borden aquifer. Water Resour Res 42(1) Carle SF (1999) T-PROGS: transition probability geostatistical software. Version 2:1. Lawrence livermore national laboratory, Livermore, CA Carle SF, Fogg GE (1996) Transition probability-based indicator geostatistics. Math Geol 28(4):453–476 Carle SF, Fogg GE (1997) Modeling spatial variability with one and multidimensional continuous-lag Markov chains. Math Geol 29:891–918 Chen J, Dai Z, Yang Z, Pan Y, Zhang X, Wu J, Reza Soltanian M (2021) An improved tandem neural network architecture for inverse modeling of multicomponent reactive transport in porous media. Water Resour Res 57(12):e2021WR030595 Chen L-C, Papandreou G, Kokkinos I, Murphy K, Yuille AL (2017) DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs. IEEE Trans Pattern Anal Mach Intell 40(4):834–848 Chen S, Yue Z, Tham L (2004) Digital image-based numerical modeling method for prediction of inhomogeneous rock failure. Int J Rock Mech Min Sci 41(6):939–957 Cheng G, Guo W (2017) Rock images classification by using deep convolution neural network. J Phys Conf Ser 887 (1):012089 Dagan G (1984) Solute transport in heterogeneous porous formations. J Fluid Mech 145:151–177 Dai Z, Ritzi RW, Huang C, Rubin YN, Dominic DF (2004) Transport in heterogeneous sediments with multimodal conductivity and hierarchical organization across scales. J Hydrol 294(1–3):68–86 Dai Z, Ritzi RW, Dominic DF (2005) Improving permeability semivariograms with transition probability models of hierarchical sedimentary architecture derived from outcrop analog studies. Water Resour Res 41(7) Dai Z, Wolfsberg A, Lu Z, Reimus P (2007) Upscaling matrix diffusion coefficients for heterogeneous fractured rocks. Geophys Res Lett 34(7) Dai Z, Wolfsberg A, Lu Z, Deng H (2009) Scale dependence of sorption coefficients for contaminant transport in saturated fractured rock. Geophys Res Lett 36(1) Dai Z, Stauffer PH, Carey JW, Middleton RS, Lu Z, Jacobs JF, Hnottavange-Telleen K, Spangler LH (2014) Pre-site characterization risk analysis for commercial-scale carbon sequestration. Environ Sci Technol 48(7):3908–3915 Dai Z, Zhan C, Soltanian MR, Ritzi RW, Zhang X (2019) Identifying spatial correlation structure of multimodal permeability in hierarchical media with Markov chain approach. J Hydrol 568:703–715 Dai Z, Xu L, Xiao T, McPherson B, Zhang X, Zheng L, Dong S, Yang Z, Soltanian MR, Yang C (2020) Reactive chemical transport simulations of geologic carbon sequestration: methods and applications. Earth Sci Rev 208:103265 Deng H, Dai Z, Wolfsberg A, Lu Z, Ye M, Reimus P (2010) Upscaling of reactive mass transport in fractured rocks with multimodal reactive mineral facies. Water Resour Res 46(6) Deng H, Dai Z, Wolfsberg A, Ye M, Stauffer PH, Lu Z, Kwicklis E (2013) Upscaling retardation factor in hierarchical porous media with multimodal reactive mineral facies. Chemosphere 91(3):248–257 Fernàndez-Garcia D (2005) Differences in the scale dependence of dispersivity and retardation factors estimated from forced-gradient and uniform flow tracer tests in three-dimensional physically and chemically heterogeneous porous media. Water Resour Res 43(3) Fernàndez-Garcia D, Gómez-Hernández J (2007) Impact of upscaling on solute transport: Traveltimes, scale dependence of dispersivity, and propagation of uncertainty. Water Resour Res 43(2) Ferreira A, Giraldi G (2017) Convolutional neural network approaches to granite tiles classification. Expert Syst Appl 84:1–11 Friedman JH (1991) Multivariate adaptive regression splines. Ann Stat 19(1):1–67 Garcia-Garcia, A, Orts-Escolano, S, Oprea, S, Villena-Martinez, V and Garcia-Rodriguez, J (2017) A review on deep learning techniques applied to semantic segmentation. arXiv preprint arXiv:1704.06857 Giammar DE, Hering JG (2001) Time scales for sorption−desorption and surface precipitation of uranyl on goethite. Environ Sci Technol 35(16):3332–3337 He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. arXiv arXiv:1512.03385, pp 770–778 Helton JC, Davis FJ (2003) Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliab Eng Syst Safety 81(1):23–69 Hu BX, Huang H, Zhang D (2002) Stochastic analysis of solute transport in heterogeneous, dual-permeability media. Water Resour Res 38(9) Huang H, Hu BX (2001) Nonlocal reactive transport in heterogeneous dual-porosity media with rate-limited sorption and interregional mass diffusion. Water Resour Res 37(3):639–647 Karimpouli S, Tahmasebi P (2019) Segmentation of digital rock images using deep convolutional autoencoder networks. Comput Geosci 126:142–150 Lee SY, Carle SF, Fogg GE (2007) Geologic heterogeneity and a comparison of two geostatistical models: sequential Gaussian and transition probability-based geostatistical simulation. Adv Water Resour 30(9):1914–1932 Li X, Eini P, Jussi I, Mervi S, Antero L, Stellan H, Andrew M, Marja SK (2018) Sorption of Se species on mineral surfaces, part I: batch sorption and multi-site modelling. Appl Geochem 95:147–157 Liu H, Bodvarsson G, Zhang G (2004) Scale dependency of the effective matrix diffusion coefficient. Vadose Zone J 3(1):312–315 Long J, Shelhamer E, Darrell T (2015) Fully convolutional networks for semantic segmentation. arXiv arXiv:1411.4038, pp 3431–3440 Lu Z, Wolfsberg AV, Dai Z, Zheng C (2010) Characteristics and controlling factors of dispersion in bounded heterogeneous porous media. Water Resour Res 46(12) Ma F, Zhang X, Zhan C, Chen W, Qi L, Dai Z (2022) Upscaling of se (IV) sorption coefficients with hierarchical mineral characterization in multi-scale fractured granite. Stoch Env Res Risk A 1–11 Mckay MD, Conover RJBJ (1979) A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21(2):239–245 Mckinley IG, Scholits A (1993) A comparison of radionuclide sorption databases used in recent performance assessments. J Contam Hydrol 13(1–4):347–363 Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62–66 Pal NR, Pal SK (1993) A review on image segmentation techniques. Pattern Recogn 26(9):1277–1294 Prêt D, Sammartino S, Beaufort D, Fialin M, Sardini P, Cosenza P, Meunier A (2010) A new method for quantitative petrography based on image processing of chemical element maps: part II, semi-quantitative porosity maps superimposed on mineral maps. Am Mineral 95(10):1389–1398 Rajaram H (1997) Time and scale dependent effective retardation factors in heterogeneous aquifers. Adv Water Resour 20(4):217–230 Reimus P, Pohll G, Mihevc T, Chapman J, Haga M, Lyles B, Kosinski S, Niswonger R, Sanders P (2003) Testing and parameterizing a conceptual model for solute transport in a fractured granite using multiple tracers in a forced-gradient test. Water Resour Res 39(12):285–295 Ritzi RW (2000) Behavior of indicator variograms and transition probabilities in relation to the variance in lengths of hydrofacies. Water Resour Res 36(11):3375–3381 Ritzi RW, Dai Z, Dominic DF, Rubin YN (2004) Spatial correlation of permeability in cross-stratified sediment with hierarchical architecture. Water Resour Res 40(3) Rubin Y (1995) Flow and transport in bimodal heterogeneous formations. Water Resour Res 31(10):2461–2468 Sardini P, Moreau E, Sammartino S, Touchard G (1999) Primary mineral connectivity of polyphasic igneous rocks by high-quality digitisation and 2D image analysis. Comput Geosci 25(5):599–608 Soltanian MR, Ritzi R, Dai Z, Huang C, Dominic D (2014) Transport of kinetically sorbing solutes in heterogeneous sediments with multimodal conductivity and hierarchical organization across scales. Stoch Env Res Risk A 29(3):709–726 Soltanian MR, Ritzi RW (2014) A new method for analysis of variance of the hydraulic and reactive attributes of aquifers as linked to hierarchical and multiscaled sedimentary architecture. Water Resour Res 50(12):9766–9776 Soltanian MR, Ritzi R, Huang CC, Dai Z, Deng H (2015a) A note on upscaling retardation factor in hierarchical porous media with multimodal reactive mineral facies. Transp Porous Media 108(2):355–366 Soltanian MR, Ritzi RW, Dai Z, Chao CH (2015b) Reactive solute transport in physically and chemically heterogeneous porous media with multimodal reactive mineral facies: the Lagrangian approach. Chemosphere 122(March):235–244 Soltanian MR, Ritzi RW, Huang CC, Dai Z (2015c) Relating reactive solute transport to hierarchical and multiscale sedimentary architecture in a Lagrangian-based transport model: 2, particle displacement variance. Water Resour Res 51(3):1601–1618 Soltanian MR, Ritzi RW, Huang CC, Dai Z (2015d) Relating reactive solute transport to hierarchical and multiscale sedimentary architecture in a Lagrangian-based transport model: 1. time-dependent effective retardation factor. Water Resour Res 51(3):1586–1600 Soltanian MR, Sun A, Dai Z (2017) Reactive transport in the complex heterogeneous alluvial aquifer of Fortymile Wash, Nevada. Chemosphere 179:379–386 Soltanian MR, Dai Z, Yang C, Amooie MA, Moortgat J (2018) Multicomponent competitive monovalent cation exchange in hierarchical porous media with multimodal reactive mineral facies. Stoch Env Res Risk A 32(1):295–310 Soltanian MR, Behzadi F, de Barros FP (2020) Dilution enhancement in hierarchical and multiscale heterogeneous sediments. J Hydrol 587:125025 Song S, Gao T (2021) Research on image segmentation algorithm based on threshold. 13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), IEEE, Piscataway, NJ, pp 306–308 Sudicky EA, Frind EO (1982) Contaminant transport in fractured porous media: analytical solutions for a system of parallel fractures. Water Resour Res 17(3):555–564 Tang DH, Frind EO, Sudicky EA (1981) Contaminant transport in fractured porous media: analytical solution for a single fracture. Water Resour Res 18(7):1634–1642 Tong C (2015) PSUADE reference manual (version 1.7). Lawrence livermore national laboratory, Livermore, CA Tong C (2017) Handbook of uncertainty quantification. Springer, Heidelberg, Germany, pp 1695–1731 Triay IR, Cotter CR, Kraus SM, Huddleston MH (1996) Radionuclide sorption in Yucca Mountain tuffs with J-13 well water: neptunium, uranium, and plutonium. Yucca Mountain site characterization program milestone 3338. Office of Scientific and Technical Information Technical Reports, US DOE, Washington, DC Wang J, Chen L, Su R, Zhao X (2018) The Beishan underground research laboratory for geological disposal of high-level radioactive waste in China: planning, site selection, site characterization and in situ tests. J Rock Mech Geotech Eng 10(3):411–435 Wang Y, Liu H, Guo M, Shen X, Han B, Zhou Y (2021) Image recognition model based on deep learning for remaining oil recognition from visualization experiment. Fuel 291:120216 Wen X-H, Gómez-Hernández JJ (1996) Upscaling hydraulic conductivities in heterogeneous media: an overview. J Hydrol 183(1–2):ix–xxxii Wolfsberg A, Dai Z, Zhu L, Reimus P, Xiao T, Ware D (2017) Colloid-facilitated plutonium transport in fractured tuffaceous rock. Environ Sci Technol 51(10):5582–5590 Yu Q, Xiong Z, Du C, Dai Z, Soltanian MR, Soltanian M, Yin S, Liu W, Liu C, Wang C (2020) Identification of rock pore structures and permeabilities using electron microscopy experiments and deep learning interpretations. Fuel 268:117416 Zhan C, Dai Z, Samper J, Yin S, Ershadnia R, Zhang X, Wang Y, Yang Z, Luan X, Soltanian MR (2022a) An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network. J Hydrol 610:127844 Zhan C, Dai Z, Soltanian MR, Zhang X (2022b) Stage-wise stochastic deep learning inversion framework for subsurface sedimentary structure identification. Geophys Res Lett 49(1):e2021GL095823 Zhang X, Liu C, Hu BX, Zhang G (2014) Uncertainty analysis of multi-rate kinetics of uranium desorption from sediments. J Contam Hydrol 156:1–15 Zhang X, Liu C, Hu BX, Hu Q (2016) Grain-size based additivity models for scaling multi-rate uranyl surface complexation in subsurface sediments. Math Geosci 48:511–535 Zhang X, Ma F, Yin S, Wallace CD, Soltanian MR, Dai Z, Ritzi RW, Ma Z, Zhan C, Lü X (2021) Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: a critical review. Appl Energy 303:117603 Zhang X, Ma F, Dai Z, Wang J, Chen L, Ling H, Soltanian MR (2022a) Radionuclide transport in multi-scale fractured rocks: a review. J Hazard Mater 424:127550 Zhang X, Wang Z, Reimus P, Ma F, Soltanian MR, Xing B, Zang J, Wang Y, Dai Z (2022b) Plutonium reactive transport in fractured granite: multi-species experiments and simulations. Water Res 224:119068 Zheng L, Pan Q, Li G, Liang J (2009) Improvement of grayscale image segmentation based on PSO algorithm. IEEE, Piscataway, NJ, pp 442–446 Zhou Q, Liu H-H, Molz FJ, Zhang Y, Bodvarsson GS (2007) Field-scale effective matrix diffusion coefficient for fractured rock: results from literature survey. J Contam Hydrol 93(1–4):161–187 Ziegel ER (1998) Geostatistical software library and user′s guide. Technometrics 40(4):357