Lithologic Reservoirs ›› 2019, Vol. 31 ›› Issue (5): 84-91.doi: 10.12108/yxyqc.20190509

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Lithology identification of complex carbonate based on SOM and fuzzy recognition

ZHONG Hongru1, CHENG Yuhong2, LIN Mengxiong2, GAO Shichen3, ZHONG Tingting3   

  1. 1. School of Information Engineering, China University of Geosciences, Beijing 100083, China;
    2. No.5 Gas Production Plant, PetroChinaChangqing Oilfield Company, Xi'an 710016, China;
    3. School of Science, China University of Geosciences, Beijing 100083, China
  • Received:2019-04-13 Revised:2019-05-20 Online:2019-09-21 Published:2019-09-16

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Abstract: Carbonate reservoir is influenced by structure,sedimentation,ancient landform and other factors, which make it become complex and diverse. Therefore,it is significant to identify lithology based on logging data in the process of reservoir assessment. Aim to the problems of the current methods of lithology identification, such as poor generalization ability and the obstacle in combining with geological experience,taking the lower carbonate reservoir in block Sudong 41-33 of Sulige Gas Field as an example,a lithology identification method based on self-organizing map(SOM) and fuzzy recognition was proposed. The SOM was used in unsupervised form to unearth the relationship information and topological structure of six well logging parameters,such as acoustic travel time,compensated neuron and density,which are sensitive to the lithology,and then the SOM model was locally corrected by using fuzzy recognition method. The practical application results show that the lithology identification accuracy of this method was 7.3% higher than that of traditional fuzzy recognition method. It provides a new idea for lithologic identification.

Key words: lithology identification, self-organizing map, fuzzy system, carbonate reservoir

CLC Number: 

  • P618.13
[1] 袁照威,段正军,张春雨,等. 基于马尔科夫概率模型的碳酸盐岩储集层测井岩性解释. 新疆石油地质,2017,38(1):96-102. YUAN Z W,DUAN Z J,ZHANG C Y,et al. Interpretation of logging lithology in carbonate reservoirs based on Markov Chain probability model. Xinjiang Petroleum Geology,2017, 38(1):96-102.
[2] 吴磊,徐怀民,季汉成. 基于交会图和多元统计法的神经网络技术在火山岩识别中的应用. 石油地球物理勘探,2006,41(1):81-86. WU L,XU H M,JI H C. Application of neural network based on crossplot and multivariate statistical method in identification of volcanic rocks. Oil Geophysical Prospecting,2006,41(1):81-86.
[3] 马峥,张春雷,高世臣. 主成分分析与模糊识别在岩性识别中的应用. 岩性油气藏,2017,29(5):127-133. MA Z,ZHANG C L,GAO S C. Lithology identification based on principal component analysis and fuzzy recognition. Lithologic Reservoirs,2017,29(5):127-133.
[4] MA Y Z. Lithofacies clustering using principal component analysis and neural network:Applications to wireline logs. Mathematical Geosciences,2011,43(4):401-419.
[5] WANG G C,CARR T R,JU Y W,et al. Identifying organicrich marcellus shale lithofacies by support vector machine classifier in the Appalachian Basin. Computers & Geosciences, 2014,64(3):52-60.
[6] CHANG H C,KOPASKA-MERKEL D C,CHEN H C,et al. Lithofacies identification using multiple adaptive resonance theory neural networks and group decision expert system. Computers & Geosciences,2000,26(5):591-601.
[7] 单敬福,陈欣欣,赵忠军,等.利用BP神经网络法对致密砂岩气藏储集层复杂岩性的识别.地球物理学进展,2015,30(3):1257-1263. SHAN J F,CHEN X X,ZHAO Z J,et al. Identification of complex lithology for tight sandstone gas reservoirs sase on BP neural net. Progress in Geophysics,2015,30(3):1257-1263.
[8] VILALMANN T.Topology preservation in self-organizing maps. Kohonen Maps,1999,27(2):279-292.
[9] FRASER S J,DICKSON B L. A new method for data integration and integrated data interpretation:Self-organizing maps? MILKEREIT B. Proceedings of exploration 07:Fifth decennial international conference on mineral exploration. Torouto:Decennial Mineral Exploration Conference Publisher,2007:907-910.
[10] 许少华,何新贵,李盼池. 自组织过程神经网络及其应用研究. 计算机研究与发展,2003,40(11):1612-1615. XU S H,HE X G,LI P C. Research and applications of self-organization process neural networks. Journal of Computer Research and Development,2003,40(11):1612-1615.
[11] KOHONEN T. Self-organized formation of topologically correct feature maps. Biological Cybernetics,1982,43(1):59-69.
[12] ROY A,MATOS M,MARFURT K J. Automatic seismic facies classification with Kohonen self organizing maps-a tutorial. Geohorizons,2010,1(1):6-14.
[13] 韩波,何治亮,任娜娜. 四川盆地东缘龙王庙组碳酸盐岩储层特征及主控因素. 岩性油气藏,2018,30(1):75-85. HAN B,HE Z L,REN N N. Characteristics and main controlling factors of carbonate reservoirs of Longwangmiao Formation in eastern Sichuan Basin. Lithologic Reservoirs,2018,30(1):75-85.
[14] 田亮,李佳玲,焦保雷. 塔河油田12区奥陶系油藏溶洞充填机理及挖潜方向. 岩性油气藏,2018,30(3):52-60. TIAN L,LI J L,JIAO B L. Filling mechanism and potential tapping direction of Ordovician karst reservoirs in block-12 of Tahe Oilfield. Lithologic Reservoirs,2018,30(3):52-60.
[15] 张䶮,郑晓东,李劲松,等. 基于SOM和PSO的非监督地震相分析技术. 地球物理学报,2015,58(9):3412-3423. ZHANG Y,ZHENG X D,LI J S,et al. Unsupervised seismic facies analysis technology based on SOM and PSO. Chinese Hournal of Geophysics,2015,58(9):3412-3423.
[16] 段林娣,张春雷,王利田,等.储层建模新技术、新方法研究:基于模糊系统的储层建模方法.内蒙古石油化工,2007,32(4):76-79. DUAN L D,ZHANG C L,WANG L T,et al. Research on reservoir model ing based on fuzzy system. Inner Mongolia Petrochemical Industry,2007,32(4):76-79.
[17] RITTER H,MARTINETZ T,SCHULTEN K,et al. Neural computation and self-organizing maps:an introduction. Boston:Addison-Wesley,1993:243-244.
[18] KOSKO B. Fuzzy engineering. Upper Saddle River,NJ:Prentice Hall,1996:35-75.
[19] VESANTO J,AHOLA J. Hunting for correlations in data using the self-organizing map//ROCHESTER N Y. Proceedings of the international ICSC congress on Computational Intelligence Methods and Applications(CIMA'99). Switzerland:ICSC Academic Press,1999:279-285.
[20] 袁照威. 基于机器学习与多信息融合的致密砂岩储层井震解释方法研究.北京:中国地质大学(北京),2017. YUAN Z W. Interpretation methods of tseight sandstone reservoir with seismic data and welllogs based on machine learning method and multi-information fusion. Beijing:China University of Geosciences(Beijing),2017.
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