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《PETROLEUM EXPLORATION AND DEVELOPMENT》 1995-02
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IDENTIFICATION OF SEDIMENTARY MICROFACIES WITH AN ARTIFICIAL NEURAL NETWORK MODEL.

Ran Qi-quan(Southwestern Petroleum Institute, Sichuan, 637001)  
This paper introduces an identification of sedimentary microfacies by the pattern recognition approach using artificial neural networks (ANN). Firstly, the ANN approach established the relationship between the logging factes and geological factes according to the key-well study as an identified pattern, then obtained intelligent knowledge by learning from the identified pattern, and finally applied the knowledge to identify the microfacies in unknown wells and sites again As a case study, the authors discussed the application of the ANN approach in the reeoghtion and subdivision of sedimentary microfacies of the 4th member of Shahejie formation, Wenliu area, Zhongyuan oilfield.
【CateGory Index】: P618.13
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【References】
Chinese Journal Full-text Database 8 Hits
1 ZHOU Xinping;ZHANG Wenxuan;LIU Guanglin;SONG Peng;CHU Meijuan;CHEN Lu;Research Institute of Exploration and Development,Changqing Oilfield Company of CNPC;National Engineering Laboratory for Low Permeability Oil & Gas-field Exploration and Development;Oil and Gas Assessment Center,CNLC;;Quantitative Analysis of Sedimentary Facies Using Lithology Statistics:Taking Chang 8 Member in Northern Shaanxi Area as an Example[J];西安石油大学学报(自然科学版);2016-06
2 WANG Yuxi;TIAN Chuangbing;GAO Jixian;ZHANG Xuefeng;LIU Jianqiang;TIAN Zepu;SONG Xinmin;LIU Bo;Oil & Gas Research Center,Peking University;School of Earth & Space Science,Peking University;PetroChina Research Institute of Petroleum Exploration & Development;;A quantitative explanation of carbonate microfacies based on conventional logging data:a case study of the Mishrif Formation in north Rumaila oil field of Iraq[J];石油学报;2013-06
3 ZHANG Jun-hua,ZHANG Duo-rong,WANG Yong-gang,et al.(College of Geo-resources and Information,China Petroleum University,Dongying, 257061,China).;ANNEALED CHAOTIC HOPFIELD NETWORK AND ITS APPLICATION IN CLUSTERING OF RESERVOIR[J];物探化探计算技术;2006-02
4 HU Zong-quan,WANG Chuan-gang,ZHANG Yu-lan,ZHANG Fu-shun,ZHOU Xin-ke(Research Institute of Petroleum Exploration and Production, SINOPEC,Beijing 100083, China);EVALUATION ON THE HYDROCARBON POOL-FORMING CONDITIONS OF THE UPPER PALEOZOIC BURIED HILLS IN THE DONGPU SAG OF THE BOHAIWAN BASIN[J];石油实验地质;2004-06
5 Liu Hongqi1 Peng Shimi1 Xia Hongquan2 Tang Hong2 (1.University of Petroleum, Beijing, 102249; 2.Southwest Petroleum Institute, Chengdu, 637001);Mathematic characteristics of Well Logging Curve Unit and quantitative identification of sedimentary miscrofacies[J];中国海上油气;2004-06
6 SHAO Xian-jie 1,TANG Da-zhen 1,SHEN Ben-ke 1,GAO Xing-jun 1,WANG Pei 2 (1.Geo-science University of China, Beijing 100083, China; 2. Henan Oilfield Subsidiary, Nanyang, Henan 473132, China);Logging Interpretation for Water Flooded Zone in Super-heavy Oil Reservoir of Henan Biyang Depression[J];测井技术;2004-03
7 CUI Yong, ZHAO Cheng-lin (Department of Geoscience, The University of Petroleum, Changping 102200,Beijing, China);Application of Neural Network Technique to Oilfield Geology——Taking the Identification of Lithology as an Example[J];西安石油学院学报(自然科学版);2002-04
8 Ou Chenghua Chen Jingshan (Southwest Petroleum Institute,Nanchong,Sichuan);HIERARCHIC ANALYSIS METHOD USED IN SEDIMENTARY FACIES QUANTITATIVE RECOGNITION[J];石油与天然气地质;1999-03
【Citations】
Chinese Journal Full-text Database 3 Hits
1 Ran Qiquan Lu Guoxiang;Estimating Geological Reserve of Oil and Gas by Universal Kriging Technique[J];天然气工业;1991-06
2 Liao Mingguang, Zhou Nanxiang & Tan Dehui;Sedimentary Facies Identification by Fuzzy Pattern,[J];地球物理测井;1991-03
3 Tan Dehui Zhang Wei(Department of Geological Exploration);ELECTROFACIES RESEARCH[J];西南石油学院学报;1987-02
【Co-citations】
Chinese Journal Full-text Database 9 Hits
1 LI Bingtao;LI Feng;Chengdu Univerisity of Technology,Institute of Sedimentary Geology;;The Application of Logging Technology in Sedimentology[J];四川建材;2017-01
2 WANG Yuxi;TIAN Chuangbing;GAO Jixian;ZHANG Xuefeng;LIU Jianqiang;TIAN Zepu;SONG Xinmin;LIU Bo;Oil & Gas Research Center,Peking University;School of Earth & Space Science,Peking University;PetroChina Research Institute of Petroleum Exploration & Development;;A quantitative explanation of carbonate microfacies based on conventional logging data:a case study of the Mishrif Formation in north Rumaila oil field of Iraq[J];石油学报;2013-06
3 YIN Shoupeng, WANG Guiwen (Department of Geoscience, Petroleum University, Beijing 102200,China);A SUMMARY OF SEDIMENTOLOGY FROM WELL LOGS[J];地球科学进展;1999-05
4 Hu Jun(Southwest Petroleum Institute).;A STUDY OF THE APPLICATION OF PATTERN RECOGNITION TO DIVIDING SEDIMENTARY FACIES BY USE OF LOGGING DATA[J];天然气工业;1999-04
5 Ran Qiquan; Li Shilun and Gu Xiaoyun(Institute of Mechanics, Chinese Academy of Sciences, Beijing 100080)(Southwest Petoleum Institute, Nanchong 637001 );Identification of Sedimentary Macrofacies with Neural Network[J];沉积学报;1996-S1
6 Ran Qiguan et al. (Southwest-China Petroleum Institute,Sichuan);AN OPTIMUM RESERVOIR GEOLOGICAL MODEL ESTABLISHED BY USING NEURAL NETWORK SYSTEMATIC RECOGNITION METHOD[J];中国海上油气.地质;1996-01
7 Ran Qi-quan(Southwestern Petroleum Institute, Sichuan, 637001);IDENTIFICATION OF SEDIMENTARY MICROFACIES WITH AN ARTIFICIAL NEURAL NETWORK MODEL.[J];石油勘探与开发;1995-02
8 Ran Qiquan I.i ShilunSouthwest China College of Petroleum;A NEW TECHNIQUE FOR PATTERN RECOGNITION OF SEDIMENTARY FACIES[J];岩相古地理;1995-01
9 Liao Mingguang, Zhou Nanxiang & Tan Dehui;Sedimentary Facies Identification by Fuzzy Pattern,[J];地球物理测井;1991-03
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 CHU Mei-juan,GUO Zheng-quan,BAI Chang-e,HUANG Jin-xiu(First Author's Address:Research Institute of Exploration and Development,Changqing Oilfield Company,PetroChina;National Engineering Laboratory for Low Permeability Oil & Gasfield Exploration and Development,Xi'an 710018,Shaanxi,China);Sedimentary Modes of Shallow Water Delta of Chang 8_1 Reservoir in Yanchang Formation of Ordos Basin[J];石油天然气学报;2013-06
2 LI Shixiang1,2,3 CHU Meijuan2,3 HUANG Jinxiu2,3 GUO Zhengquan2,3(1.College of Energy Resources,Chengdu University of Technology,Chengdu 610059,China;2.Research Institute of Exploration & Development,PetroChina Changqing Oilfield Company,Xi'an 710018,China;3.National Engineering Laboratory for Exploration & Development of Low-Permeability Oil & Gas Fields,Xi'an 710018,China);Characteristics and genetic mechanism of sandbody architecture in Chang-8 oil layer of Yanchang Formation,Ordos Basin[J];石油学报;2013-03
3 JU Wu 1,HAN Xue-hui2,ZHI Le-fei2,et al.(1.College of Energy Resources,Chengdu University of Technology,Chengdu 610059,China;2.Faculty of Earth Resources and Information,China University of Petroleum,Dongying 257061,China).;A LITHOLOGY IDENTIFICATION METHOD IN ES4 RESERVOIR OF XIN 176 BLOCK WITH BAYES STEPWISE DISCRIMINANT METHOD[J];物探化探计算技术;2012-05
4 SIMA Liqiang1,XIAO Hua1,YUAN Long1,LU Fengcai2(1.Department of Resource and Environment,Southwest Petroleum University,Chengdu,Sichuan 610500,China; 2.Geological Logging Division of Jiangsu Petroleum Exploration Bureau,Yangzhou,Jiangsu 225002,China);Research on Reservoir Flow Unit Based on BP Neural Network Technology[J];测井技术;2012-04
5 LIU Jing1,LI Zhengcong2,WANG Zhi1,ZHANG Xiang1(1.Key Laboratory of Exploration Technologies for Oil and Gas Resources,Ministry of Education,Yangtze University,Jingzhou,Hubei 434023,China;2.Wireline Logging Company,Daqing Drilling & Exploration Corporation,Songyuan,Jilin 138000,China);Quantitative Identification of Microfacies Based on ICA,PCA and SVM[J];测井技术;2011-03
6 Yu Ye1,2 Zhang Changmin1,2 Zhang Shangfeng1,2 Shi Hesheng3 Du Jiayuan1,2,3 Zhu Rui1,2 1 School of Geosciences,Yangtze University,Jingzhou434023,Hubei 2 MOE Key Laboratory of Oil and Gas Resource and Exploration Technology,Yangtze University,Jingzhou434023,Hubei 3 Shenzhen Branch of CNOOC Ltd.,Guangzhou510240,Guangdong;Sedimentary facies recognition using lithological statistics——Example from delta deposits of Pearl River Mouth Basin[J];古地理学报;2011-03
7 ZHOU Jinying1 GUI Biwen1 LI Mao1 LIN Wen2(1.CNOOC China Ltd.Zhanjiang,Zhanjiang 524057,China;2.ChevronTexaco(China)Energy Company,Beijing 100004,China);An application of the artificial neural net dominated by lithology to permeability prediction[J];石油学报;2010-06
8 Ren Pei-gang1a,1b,XIA Cun-yin1a,1b,LI Yuan1a,1b,XU Bo-wen2,YIN Ling-ling2(1a.Faculty of Earth Resources;1b.Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education,China University of Geosciences Wuhan 430074,China;2.Faculty of Exploration Technologies for Oil and Resources,Yangtze University,Hubei Jingzhou 434023,China);Application of Self-organizing Neural Network to Logging Reservoir Evaluation[J];地质科技情报;2010-03
9 WANG Ya-chun1,2,TIAN Chun-yang3,ZHANG Zhen-wei1,JIN Tie-wen4,YANG Hong-song1( 1.College of Geosciences,Daqing Petroleum Institute,Daqing,Heilongjiang 163318,China;2.School of Natural Resource and Information Technology,China University of Petroleum,Beijing 163318;3.Oil Recovery Plant No.2 Daqing Oilfield Company Ltd.,Daqing,Heilongjiang 163414,China;4.Liaohe Oilfield Company Ltd.,Panjin,Liaoning 124010,China );The application of multigroup stepwise discriminant analysis for complex oil,water and dry layers identification[J];大庆石油学院学报;2010-02
10 WANG Zhu-wen1,LIU Jing-hua1,REN Li2(1.College of GeoExploration Science and Technology,Jilin University,Changchun,130026,China;2.Well Logging Company,Drilling and Exploration Group of Daqing Petroleum Administrative Bureau,Daqing 163412,China);The Method for Lithology Classification in Geophysical Well Logging Based on the K-means Dynamic Clustering Analysis[J];东华理工大学学报(自然科学版);2009-02
【Secondary References】
Chinese Journal Full-text Database 8 Hits
1 YE Tao;WEI A-juan;DENG Hui;ZENG Jin-cang;GAO Kun-shun;SUN Zhe;CNOOC China Ltd.Bohai Oil Institute;Drilling and Production Engineering Research Institute,CNOOC Energy Technology & Service;;Study on volcanic lithology identification methods based on the data of conventional well logging data:a case from Mesozoic volcanic rocks in Bohai bay area[J];地球物理学进展;2017-04
2 LIU Jiaxiong;FAN Yiren;ZHU Dawei;DENG Shaogui;HAN Yujiao;LI Gexian;WU Zhenguan;GAO Yuan;School of Geosciences,China University of Petroleum;Laboratory for Marine Mineral Resources,Qingdao National Laboratory for Marine Science and Technology;Geoscience Center,Greatwall Drilling Company,CNPC;Research Institute of Petroleum Exploration & Development;Coalbed Methane Development Company,CNPC-GWDC;;Calculation Method of Bioclastic Limestone Reservoir Space Using Log Data in the Middle East Area × District[J];测井技术;2017-03
3 LI Shou-jun;LIU Qiang;ZHANG Ming-xing;MIN Wei;LIU Xiao;CUI Xiao-hui;WANG De-jian;WANG Xiao-yi;College of Earth Sciences and Engineering,Shandong University of Science and Technology;Petroleum Development Center,Shengli Oil Field Company;;Sedimentary microfacies in the upper submember of the fourth member of the Shahejie Formation in the Yibei Oil Field,Shandong[J];沉积与特提斯地质;2017-01
4 LI Yanhua;WANG Hongtao;WANG Mingchuan;LIAN Peiqing;DUAN Taizhong;JI Bingyu;Exploration & Production Research Institute,SINOPEC;China National Oil and Gas Exploration & Development Corporation;;Automatic Identification of Carbonate Sedimentary Facies Based on PCA and KNN Using Logs[J];测井技术;2017-01
5 Guo Jingxing;Peng Xuehuan;Li Fei;School of Geosciences,China University of Petroleum;Research Institute of Petroleum Exploration and Development,Tarim Oilfield Company Petre China;;Application of Crossplot and BP Neural Network Technique in the Identification of Clastic Rock[J];甘肃科学学报;2016-06
6 LI Yan;SUN Yi-li;ZHANG Chao;The One Production Plant of He Nan Oilfield;The One Production Plant of He Nan Oilfield,SINOPEC;;The distribution of the advantage flow field in high water cut period[J];内蒙古石油化工;2016-04
7 JING Cheng;PU Chunsheng;YU Baocai;WANG Bo;ZHOU You;College of Petroleum Engineering,China University of Petroleum;Changqing Division,China Petroleum Logging CO.LTD.;The Fifth Gas Recovery Plant of Changqing Oilfield;College of Energy Resources,China University of Geosciences;;Quantitative Evaluation of Logging Multi-parameter of Sedimentary Microfacies in Ultra-low Permeability Reservoir,GGY Oilfield[J];测井技术;2016-01
8 Yang Dong;School of Earth Science and Engineering,Xi′an Shiyou University;;Application of BP neural network technology in carbonate lithology identification[J];石化技术;2016-01
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 Tan Dehui Zhang Wei(Department of Geological Exploration);ELECTROFACIES RESEARCH[J];西南石油学院学报;1987-02
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