Semi-supervised seismic facies analysis based on prestack seismic texture
CAI Hanpeng1,2, HU Hao-yang1, WU Qingping1, WANG Jun3, LI Zhipeng3
1. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China; 2. Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China; 3. Research Institute of Exploration & Production, SINOPEC Shengli Oilfield, Dongying, Shandong 257015, China
Abstract:A semi-supervised seismic facies analysis algorithm based on prestack seismic texture is proposed for taking full use of subtle information contained in prestack seismic data based on prior knowledge such as drilling and geological data.First,prestack seismic texture is introduced to highlight the variability of tiny space and amplitude with azimuth/offset in prestack seismic data.Second,self-organizing map (SOM) is used to train samples.Finally,constrained by prior drilling knowledge,the semi-supervised clustering of neurons in the output layer of SOM is carried out to generate the mapping relation between the neurons and the seismic facies category.Theoretical model and application demonstrated that the method can improve the accuracy of seismic facies map and enhance the ability to distinguish seismic microfacies.It is a better tool for seismic facies analysis.
赵师权,胡少华,王玉珍,等.利用多信息融合技术表征复杂断块油藏沉积相[J].石油地球物理勘探,2018,53(增刊2):235-245.ZHAO Shiquan,HU Shaohua,WANG Yuzhen,et al.Complex reservoir sedimentary-facies characterization with multi-discipline information integration[J].Oil Geophysical Prospecting,2018,53(S2):235-245.
[2]
Nivlet P.Uncertainties in seismic facies analysis for reservoir characterisation or monitoring Causes and consequences[J].Oil & Gas Science and Technology,2007,62(2):225-235.
[3]
de Matos M C,Osorio P L,and Johann P R.Unsupervised seismic facies analysis using wavelet transform and self-organizing maps[J].Geophysics,2007,72(1):P9-P21.
[4]
张,郑晓东,李劲松,等.基于SOM和PSO的非监督地震相分析技术[J].地球物理学报,2015,58(9):3412-3423.ZHANG Yan,ZHENG Xiaodong,LI Jinsong,et al.Unsupervised seismic facies analysis technology based on SOM and PSO[J].Chiness Journal of Geophysics,2015,58(9):3412-3423.
[5]
Chopra S and Marfurt K J.Seismic attributes:A historical perspective[J].Geophysics,2005,70(5):SO3-SO28.
[6]
Marcílio C M,Paulo L M O,and Roberto F.Detecting time-lapse seismic effects through wavelet transforms and self organizing maps[C].SEG Technical Program Expanded Abstracts,2006,25:3280-3284.
[7]
Gao D L.Latest developments in seismic texture ana-lysis for subsurface structure,facies,and reservoir characterization:A review[J].Geophysics,2011,76(2):W1-W13.
[8]
Chuai X Y,Wang S X,Shi P D,et al.Applications of texture attribute analysis to seismic interpretation[J].Journal of Central South University,2014,21(9):3617-3626.
[9]
胡英,陈辉,贺振华,等.基于地震纹理属性和模糊聚类划分地震相[J].石油地球物理勘探,2013,48(1):114-120.HU Ying,CHEN Hui,HE Zhenhua,et al.Seismic facies classification based on seismic texture attributes and fuzzy clustering[J].Oil Geophysical Prospecting,2013,48(1):114-120.
[10]
Marfurt K.Seismic attributes and the road ahead[C]. SEG Technical Program Expanded Abstracts,2014,33:4421-4426.
[11]
Song C Y,Liu Z N,Cai H P,et al.Prestack-texture-based reservoir characteristics and seismic facies ana-lysis[J].Applied Geophysics,2016,13(1):69-79.
[12]
Haralick R,Shanmugam K,and Dinstein I.Textural features for image classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,23(2):610-621.
[13]
Ulaby R T,Kouyate F,Brisco B,et al.Textural information in SAR images[J].IEEE Transactions on Geo-science and Remote Sensing,1986,24(2):235-245.