Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion
Accurate determination of effective lower limit and establishment of effective standard of tight reservoirs are of great significance for effective reserves estimation and production increase in tight oil. Based on convolution neural network and multivariate statistical analysis, establishes a model...
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| Format: | Article |
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Editorial Office of Well Logging Technology
2023-08-01
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| Series: | Cejing jishu |
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| Online Access: | https://www.cnpcwlt.com/#/digest?ArticleID=5514 |
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| author | ZHANG Huafeng QIU Longwei WANG Jun CHEN Ganghua YANG Yongqiang GUO Chunqing HE Yulong |
| author_facet | ZHANG Huafeng QIU Longwei WANG Jun CHEN Ganghua YANG Yongqiang GUO Chunqing HE Yulong |
| author_sort | ZHANG Huafeng |
| collection | DOAJ |
| description | Accurate determination of effective lower limit and establishment of effective standard of tight reservoirs are of great significance for effective reserves estimation and production increase in tight oil. Based on convolution neural network and multivariate statistical analysis, establishes a model for lithology identification and petrophysical facies interpretation of tight reservoirs, and establishes a multi-parameter fusion method for evaluating the effectiveness of tight reservoirs by combining petrophysical facies classification modeling and pore structure evaluation on the basis of reservoir characteristics description. The actual data processing results show that the prediction accuracy of the established lithology identification method is high, and the comprehensive evaluation results are in agreement with the data of oil test and production test. This paper comprehensively considers the main factors that affect the effectiveness of tight reservoirs, and combines the lithology, physical properties and pore structure types of tight reservoirs to establish a comprehensive effectiveness evaluation method, which can be effectively applied to the comprehensive evaluation of tight reservoirs effectiveness. |
| format | Article |
| id | doaj-art-e170233fb54e4223a1d4a06980788ef0 |
| institution | OA Journals |
| issn | 1004-1338 |
| language | zho |
| publishDate | 2023-08-01 |
| publisher | Editorial Office of Well Logging Technology |
| record_format | Article |
| series | Cejing jishu |
| spelling | doaj-art-e170233fb54e4223a1d4a06980788ef02025-08-20T01:55:22ZzhoEditorial Office of Well Logging TechnologyCejing jishu1004-13382023-08-0147446246910.16489/j.issn.1004-1338.2023.04.0111004-1338(2023)04-0462-08Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter FusionZHANG Huafeng0QIU Longwei1WANG Jun2CHEN Ganghua3YANG Yongqiang4GUO Chunqing5HE Yulong6School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, ChinaExploration and Development Research Institute, Shengli Oilfield Branch of SINOPEC, Dongying, Shandong 257000, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, ChinaShandong Kerui Unconventional Petroleum Gas Research Institute, Dongying, Shandong 257000, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, ChinaAccurate determination of effective lower limit and establishment of effective standard of tight reservoirs are of great significance for effective reserves estimation and production increase in tight oil. Based on convolution neural network and multivariate statistical analysis, establishes a model for lithology identification and petrophysical facies interpretation of tight reservoirs, and establishes a multi-parameter fusion method for evaluating the effectiveness of tight reservoirs by combining petrophysical facies classification modeling and pore structure evaluation on the basis of reservoir characteristics description. The actual data processing results show that the prediction accuracy of the established lithology identification method is high, and the comprehensive evaluation results are in agreement with the data of oil test and production test. This paper comprehensively considers the main factors that affect the effectiveness of tight reservoirs, and combines the lithology, physical properties and pore structure types of tight reservoirs to establish a comprehensive effectiveness evaluation method, which can be effectively applied to the comprehensive evaluation of tight reservoirs effectiveness.https://www.cnpcwlt.com/#/digest?ArticleID=5514tight reservoirconvolution neural networkpetrophysical faciesmultivariate statistical analysiscomprehensive evaluation of effectiveness |
| spellingShingle | ZHANG Huafeng QIU Longwei WANG Jun CHEN Ganghua YANG Yongqiang GUO Chunqing HE Yulong Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion Cejing jishu tight reservoir convolution neural network petrophysical facies multivariate statistical analysis comprehensive evaluation of effectiveness |
| title | Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion |
| title_full | Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion |
| title_fullStr | Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion |
| title_full_unstemmed | Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion |
| title_short | Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion |
| title_sort | research on the comprehensive evaluation method of tight reservoir effectiveness based on multiparameter fusion |
| topic | tight reservoir convolution neural network petrophysical facies multivariate statistical analysis comprehensive evaluation of effectiveness |
| url | https://www.cnpcwlt.com/#/digest?ArticleID=5514 |
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