Application of fuzzy comprehensive evaluation method to assess effect of conformance control treatments on water-injection wells

Petroleum - 2022
Hu Jia1, Pengwu Li1, Wei Lv2, Jianke Ren2, Chen Cheng2, Rui Zhang1, Zhengjun Zhou1, Yanbin Liang3
1State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, China
2Oil and Gas Technology Research Institute, PetroChina Changqing Oilfield Company, Xi'an, China
3Oil Production Technology Institute of PetroChina Dagang Oilfield Company, Tianjin, China

Tài liệu tham khảo

Abdulbaki, 2014, A critical review on use of polymer microgels for conformance control purposes, J. Petrol. Sci. Eng., 122, 741, 10.1016/j.petrol.2014.06.034 Ali, 2012, Mature fields and well revitalization, J. Petrol. Technol., 10.2118/0112-0074-JPT Bai, 2015, A comprehensive review of polyacrylamide polymer gels for conformance control, Petrol. Explor. Dev., 4, 525, 10.1016/S1876-3804(15)30045-8 Aldhaheri, 2019, A review of field oil-production response of injection-well gel treatments, SPE Reservoir Eval. Eng., 22, 597, 10.2118/190164-PA Aldhaheri, 2021, Field performances, effective times, and economic assessments of polymer gel treatments in controlling excessive water production from mature oil fields, J. Energy Resour. Technol., 8 Borling, 1994 Liu, 2006 Hinds, 2015 Buell, 1990, Analyzing injectivity of polymer solutions with the Hall plot, SPE Reservoir Eng., 5, 41, 10.2118/16963-PA Brahim, 2015 Aslanyan, 2013 Aldhaheri, 2017, Development of machine learning methodology for polymer gels screening for injection wells, J. Petrol. Sci. Eng., 151, 77, 10.1016/j.petrol.2016.12.038 Vivek, 2020, Application of fuzzy logic in sensory evaluation of food products: a comprehensive study, Food Bioprocess Technol., 13, 1, 10.1007/s11947-019-02337-4 Hou, 2011, Prediction of microscopic remaining oil distribution using fuzzy comprehensive evaluation, Transport Porous Media, 89, 533, 10.1007/s11242-011-9784-z Zhang, 2018, Application of fuzzy comprehensive evaluation to evaluate the effect of water flooding development, J. Pet. Explor. Prod. Technol., 8, 1455, 10.1007/s13202-018-0430-y Hou, 2020 Naseri, 2015, System-reliability analysis by use of Gaussian fuzzy fault tree: application in Arctic oil and gas facilities, Oil & Gas Fac, 4, 85, 10.2118/170826-PA Nagineni, 2010 MarSveinbjornsson, 2014, Drilling performance, injectivity and productivity of geothermal wells, Geothermics, 50, 76, 10.1016/j.geothermics.2013.08.011 Seright, 1988 Hall, H.N., How to analyze waterflood injection well performance. World Oil. Carpenter, 1963, Case Study: steam-injection step-rate tests run in the orcutt oil field, Petrol. Tech., 68, 78, 10.2118/0616-0078-JPT Wei, 2007, Predicting injection profiles using ANFIS, Inf. Sci., 20, 4445, 10.1016/j.ins.2007.03.021 Bai, 2013 Ishizaka, 2020, Analytic hierarchy process-fuzzy sorting: an analytic hierarchy process–based method for fuzzy classification in sorting problems, J. Oper. Res. Soc., 6, 928, 10.1080/01605682.2019.1595188 He, 2019, A comprehensive approach for fracability evaluation in naturally fractured sandstone reservoirs based on analytical hierarchy process method, Energy Sci. Eng., 2, 529, 10.1002/ese3.303 Leccese, 2020, A method to assess lighting quality in educational rooms using analytic hierarchy process, Build. Environ., 168, 10.1016/j.buildenv.2019.106501 Indrani, 2020, Estimation of priority weights based on a resampling technique and a ranking method in analytic hierarchy process, J. Multi-Criteria Decis. Anal., 61 Ohta, 2020, Classical, fuzzy, hesitant fuzzy and intuitionistic fuzzy analytic hierarchy processes applied to industrial maintenance management, J. Intell. Fuzzy Syst., 1, 601, 10.3233/JIFS-179433 Saaty, 2016, The analytic hierarchy and analytic network processes for the measurement of intangible criteria and for decision-making, Multip. Criteria Decis. Anal., 233, 363, 10.1007/978-1-4939-3094-4_10 Philippe, 2016, The journal coverage of web of science and scopus: a comparative analysis, Scientometrics, 106, 213, 10.1007/s11192-015-1765-5 Zhang, 2019, Research on transformer fault diagnosis method and calculation model by using fuzzy data fusion in multi-sensor detection system, Optik, 176, 716, 10.1016/j.ijleo.2018.09.017