Technique and application of joint magnetotelluric and seismic modeling and constrained inversion based on clustering and multivariate geostatistics
YANG Bo1, ZHANG Xiangguo2, LIU Zhan1, XU Kaijun1
1. Department of Geophysics, China University of Petroleum(East China), Qingdao, Shandong 266580, China; 2. Research Institute of Exploration and Development, Daqing Oilfield Co Ltd, PetroChina, Daqing, Heilongjiang 163453, China
Abstract:With more and more complex and deeper geological bodies, the one-sidedness and limitation of a single geophysical method have become more and more prominent, and comprehensive utilization of multiple geophysical technologies and data has become an inevitable trend. This paper proposes cross-variogram in multivariate geostatistics to establish the petrophysical relationship between velocity and resistivity. Based on the relationship, the guided fuzzy C-means clustering algorithm in machine learning is used to conduct multi-constraint inversion and realize MT-seismic joint mo-deling. Application to real data recorded from the southern depression of the Dayangshu Basin has proved that the MT-seismic joint modeling and multi-constraint inversion can gradually reduce the ambiguity of a single geophysical method and improve the ability to identify target geological bodies. The results of MT and seismic methods are verified each other, demonstrating that the joint modeling and multi-constraint inversion technology is potential in field application.
杨博, 张祥国, 刘展, 徐凯军. 基于聚类和多元地质统计学的电—震联合建模约束反演技术及应用[J]. 石油地球物理勘探, 2021, 56(3): 670-677.
YANG Bo, ZHANG Xiangguo, LIU Zhan, XU Kaijun. Technique and application of joint magnetotelluric and seismic modeling and constrained inversion based on clustering and multivariate geostatistics. Oil Geophysical Prospecting, 2021, 56(3): 670-677.
彭国民,刘展. 电磁和地震联合反演研究现状及发展趋势[J]. 石油地球物理勘探,2020,55(2):465-474.PENG Guomin,LIU Zhan. An overview of joint electromagnetic-seismic inversion and its future development[J]. Oil Geophysical Prospecting,2020,55(2):465-474.
[2]
刘洁,张建中. 重震联合反演框架及应用新进展[J]. 地球物理学进展,2020,35(2):743-752.LIU Jie,ZHANG Jianzhong. New development of gravity-seismic joint inversion framework and application[J]. Progress in Geophysics,2020,35(2):743-752.
[3]
Gallardo L A,Meju M A. Characterization of heterogeneous near-surface materials by joint 2D inversion of DC resistivity and seismic data[J]. Geophysical Research Letters,2003,30(13):1658.
[4]
Colombo D and De Stefano M. Geophysical modeling via simultaneous joint inversion of seismic,gravity,and electromagnetic data:Application to prestack depth imaging[J]. The Leading Edge,2007,26(3):326-331.
[5]
De Stefano M,Andreasi F G,Re S,et al. Multiple-domain,simultaneous joint inversion of geophysical data with application to subsalt imaging[J]. Geophysics,2011,76(3):R69-R80.
[6]
Gardner G,Gardner L W,Gregory A R. Formation velocity and density-the diagnostic basics for stratigraphic traps[J]. Geophysics,1974,39(6):770-780.
[7]
Zhdanov M S,Gribenko A,Wilson G. Generalized joint inversion of multimodal geophysical data using Gramian constraints[J]. Geophysical Research Letters,2012,39(9):L09301.
[8]
Sun J,Li Y. Multidomain petrophysically constrained inversion and geology differentiation using guided fuzzy c-means clustering[J]. Geophysics,2015,80(4):D1-D18.
[9]
Sun J,Li Y. Joint inversion of multiple geophysical data using guided fuzzy c-means clustering[J]. Geophysics,2016,81(3):D37-D57.
[10]
Carter-Mcauslan A,Lelièvre P G,Farquharson C G. A study of fuzzy c-means coupling for joint inversion,using seismic tomography and gravity data test scenarios[J]. Geophysics,2014,79(1):W1-W15.
[11]
陈晓,于鹏,邓居智,等. 基于宽范围岩石物性约束的大地电磁和地震联合反演[J]. 地球物理学报,2016,59(12):4690-4700.CHEN Xiao,YU Peng,DENG Juzhi,et al. Joint inversion of MT and seismic data based on wide-range petrophysical constraints[J]. Chinese Journal of Geophysics,2016,59(12):4690-4700.
[12]
胡祖志,石艳玲,刘云祥,等. 电磁与重力数据非线性约束联合反演[J]. 石油地球物理勘探,2020,55(1):226-232.HU Zuzhi,SHI Yanling,LIU Yunxiang,et al. Nonlinear constrained joint inversion of MT and gravity data[J]. Oil Geophysical Prospecting,2020,55(1):226-232.
[13]
相鹏,王金铎,谭绍泉,等. 一种变密度-速度关系的重力与地震同步联合反演方法[J]. 石油地球物理勘探,2020,55(3):686-693.XIANG Peng,WANG Jinduo,TAN Shaoquan,et al. Simultaneous and joint inversion of gravity and seismic data based on variable density-velocity relation[J]. Oil Geophysical Prospecting,2020,55(3):686-693.
[14]
Yang B,Liu Z. Research on adaptive petrophysical modeling based on machine learning and multivariate geostatistics[C]. Extended Abstracts of 81st EAGE Conference & Exhibition,2019,Tu_R16_03.
[15]
Cuong V A L,Harris B D,Pethick A M,et al. Semiautomatic and automatic cooperative inversion of seismic and magnetotelluric data[J]. Survey in Geophy-sics,2016,37(5):845-896.
[16]
Hermans T,Vandenbohede A,Lebbe L,et al. Imaging artificial salt water infiltration using electrical resistivity tomography constrained by geostatistical data[J]. Journal of Hydrology,2012,438-439:168-180.
[17]
Yang B,Xu K,Liu Z,et al. Fuzzy constrained inversion of magnetotelluric data using guided fuzzy c-means clustering[J]. Surveys in Geophysics,2021,42(2):399-425.
[18]
Kelbert A,Meqbel N,Egbert G D,et al. ModEM:A modular system for inversion of electromagnetic geophysical data[J]. Computers & Geosciences,2014,66(?):40-53.
[19]
孙洪泉. 地质统计学及其应用[M]. 北京:中国矿业大学出版社,1990.
[20]
Paasche H,Tronicke J. Cooperative inversion of 2D geophysical data sets:A zonal approach based on fuzzy c-means cluster analysis[J]. Geophysics,2007,72(3):A35-A39.
[21]
Singh A,Sharma S P,Akcaİ,et al. Fuzzy constrained Lp-norm inversion of direct current resistivity data[J]. Geophysics,2018,83(1):E11-E24.
[22]
金成志.大杨树盆地含油气远景综合评价[D].北京:中国石油大学(北京),2007.JIN Chengzhi. Comprehensive Evaluation of the Oil and Gas Exploration Prospect in Dayangshu Basin[D].China University of Petroleum (Beijing),Beijing,2007.
[23]
郭伟,姚长利,王亚民,等. 重磁综合约束反演在大杨树盆地油气勘探中的应用[J]. 石油地球物理勘探,2014,49(增刊1):233-242.GUO Wei,YAO Changli,WANG Yamin,et al. Comprehensive constrained inversion of gravity and magnetic in reservoir exploration in Dayangshu Basin[J]. Oil Geophysical Prospecting,2014,49(S1):233-242.
[24]
胡祖志,刘云祥,孟玉宇,等. 三维MT数据处理解释技术及应用[J]. 石油地球物理勘探,2018,53(增刊1):324-329.HU Zuzhi,LIU Yunxiang,MENG Yuyu,et al. 3D MT data processing and interpretation techniques[J]. Oil Geophysical Prospecting,2018,53(S1):324-329.