Joint inversion of elastic-electrical data for gas hydrate reservoirs based on Bayesian theory
Pan Haojie1, Zhang Yan1, Li Hongbing1, Liu Tanyan2, Deng Jian3, Zhao Yi3
1. Research Institute of Petroleum Exploration and Development, CNPC, Beijing 100083, China 2. State Key Laboratory of Marine Geology(Tongji University), Shanghai 200092, China 3. Exploration and Development Research Institute, Huabei Oilfield Company, PetroChina, Renqiu, Hebei 062552, China
Abstract:A single set of sonic velocity or resistivity data are usually used to estimate hydrate reservoir parameters based on simple linear or logarithmic linear rock physics.However,elastic data and electrical data have different sensitivity of reservoir parameters;the estimation based on different data may generate different values of reservoir parameters.In order to solve this problem,we propose a new method of elastic-electrical joint inversion based on a nonlinear simplified three-phrase equation and a modified Archie equation under the frame of Bayesian theory,with which we can simultaneously predict gas hydrate saturation,porosity,clay content,and their corresponding uncertainty.The feasibility of the joint inversion method is verified by both synthetic data tests and real well logging data tests.The results indicate that the joint inversion of elastic-electrical data can not only produce reliable reservoir parameter estimations,but also reduce effectively the uncertainty caused by different sensitivity and noise.
潘豪杰, 张研, 李红兵, 刘堂晏, 邓健, 赵懿. 基于贝叶斯理论的天然气水合物储层弹性—电性数据联合反演[J]. 石油地球物理勘探, 2018, 53(3): 568-577,586.
Pan Haojie, Zhang Yan, Li Hongbing, Liu Tanyan, Deng Jian, Zhao Yi. Joint inversion of elastic-electrical data for gas hydrate reservoirs based on Bayesian theory. Oil Geophysical Prospecting, 2018, 53(3): 568-577,586.
Sloan E D,Brewer P G,Paull C K et al.Future of gas hydrate research.Eos,Transaction American Geophysical Union,1999,80(22):247-247.
[2]
邹才能,胡素云,陶士振等.天然气水合物——能源资源潜力及相关地质风险.北京:石油工业出版社,2012,10.Zou Caineng,Hu Suyun,Tao Shizhen et al.Nature Gas Hydrates-Energy Resource Potential and Associated Geological Hazards.Petroleum Industry Press,Beijing,2012,10.
[3]
霍元媛,张明.基于遗传算法的天然气水合物似海底反射层速度结构全波形反演.石油地球物理勘探.2010,45(1):55-59.Huo Yuanyuan,Zhang Ming.The genetic algorithm based velocity structure waveform inversion for gas hydrate bottom simulating reflection (BSR).OGP,2010,45(1):55-59.
[4]
Dai J C,Snyder F,Gillespie D et al.Exploration for gas hydrates in the deepwater,northern Gulf of Mexico:Part Ⅰ.A seismic approach based on geolo-gic model,inversion,and rock physics principles.Marine and Petroleum Geology,2008,25(9):830-844.
[5]
石玉梅,张研,姚逢昌等.基于声学全波形反演的油气藏地震成像方法.地球物理学报,2014,57(2):607-617.Shi Yumei,Zhang Yan,Yao Fengchang et al.Metho-dology of seismic imaging for hydrocarbon reservoirs based on acoustic full waveform inversion.Chinese Journal of Geophysics,2014,57(2):607-617.
[6]
刘颖,李予国,柳建新等.海洋可控源电磁场的一维反演.中国有色金属学报,2013,23(9):2551-2556.Liu Ying,Li Yuguo,Liu Jianxin et al.One-dimentional inversion of marine controlled source electromagnetic fields.Chinese Journal of Nonferrous Metals,2013,23(9):2551-2556.
[7]
裴建新,王启,张秀丽.海洋CSEM探测海底天然气水合物的有效异常研究.石油地球物理勘探,2015,50(1):177-183.Pei Jianxin,Wang Qi,Zhang Xiuli.Effective anomaly for gas hydrate detection with marine CSEM method.OGP, 2015,50(1):177-183.
[8]
宁伏龙,刘力,李实等.天然气水合物储层测井评价及其影响因素.石油学报,2013,34(3):591-606.Ning Fulong,Liu Li,Li Shi et al.Well logging assessment of nature gas hydrate reservoirs and relevant influential factors.Acta Petrolei Sinica,2013,34(3):591-606.
[9]
肖昆,邹长春,邓居智等.利用声波测井估算裂缝型水合物储层水合物饱和度.石油地球物理勘探,2017,52(5):1067-1076.Xiao Kun,Zou Changchun,Deng Juzhi et al.Gas hydrate saturation estimation in fractured reservoirs with acoustic logging.OGP, 2017, 52(5):1067-1076.
[10]
Lee M W,Hutchinson D R,Collett T S et al.Seismic velocity for hydrate-bearing sediments using weighted equation.Journal of Geophysical Research,1996,101(B9):20347-20358.
[11]
Dvorkin J,Nur A.Elasticity of high-porosity sand-stones:theory for two North Sea datasets.Geophy-sics,1996,61(5):1363-1370.
[12]
Helgerud M B,Dvorkin J,Nur A et al.Elastic-wave velocity in marine sediments with gas hydrates:Effective medium modeling.Geophysical Research Letters,1999,26(13):2021-2024.
[13]
Dvorkin J,Nur A,Yin H.Effective properties of cemented granular material.Mechanics of Materials,1994,18(4):351-356.
[14]
Lee M W.Elastic velocities of partially gas-saturated unconsolidated sediments.Marine and Petroleum Geology,2004,21(6):641-650.
[15]
Lee M W,Waite W F.Estimating pore-space gas hydrate saturations from well-log acoustic data.Geochemistry, Geophysics,Geosystems,2008,9(7),DOI:10.1029/2008GC002081.
[16]
张广智,陈娇娇,陈怀震等.基于岩石物理量版的碳酸盐岩含气储层定量解释.吉林大学学报(地球科学版),2015,45(2):630-638.Zhang Guangzhi,Chen Jiaojiao,Chen Huaizhen et al.Quantitative interpretation of carbonate gas reservoir based on rock physics template.Journal of Jilin University (Earth Science Edition),2015,45(2):630-638.
[17]
Kumar D,Dash R,Dewangan P.Methods of gas hydrate concentration estimation with field examples.Geohorizon,2009,12:76-86.
[18]
Archie G E.The electric resistivity log as an aid in determining some reservoir characteristics:Transactions of the International Motion Engineers,1942,46-54.
[19]
徐凯军,杜润林,刘展等.海洋可控源电磁与地震一维联合储层参数反演.石油地球物理勘探,2016,51(1):197-203.Xu Kaijun,Du Runlin,Liu Zhan et al.Joint reservoir parameter inversion of 1D marine controlled source electromagnatic and seismic data.OGP,2016,51(1):197-203.
[20]
Chen J S,Hoversten G M.Estimating reservoir pa-rameters from seismic and electromagnetic data using stochastic rock physics models and Markov chain Monte Carlo methods.SEG Technical Program Expanded Abstracts,2005,24:542-546.
[21]
Sava D,Hardage B,Murray P et al.Rock-physics joint inversion of resistivity-log and seismic velocity for gas hydrate characterization.SEG Technical Program Expanded Abstracts,2008,27:1724-1728.
[22]
Costa E F da,Moraes F S,Loures C L et al.An automatic porosity and saturation evaluation based on the inversion of multiple well logs.Petrophysics,2008,49(3):261-270.
[23]
潘豪杰,刘堂晏,邬龙等.天然气水合物赋存形态识别及其饱和度预测.地球物理学进展,2014,29(4):1735-1740.Pan Haojie,Liu Tangyan,Wu Long et al.Morphology identification and saturation estimation of gas hydrate.Progress in Geophysics,2014,29(4):1735-1740.
[24]
Simandoux P.Dielectric measurements of porous media:Application to measurement of water saturations-study of the behavior of argillaceous formations.Revue de L'institutFrancais du Petrole,1963,18(S1):193-215.
[25]
Schlumberger Wireline and Testing.Log Interpretation:Principles/Applications:Schlumberger Educational Services,1989.
[26]
Leclaire P,CohenT F,Aguirre P J.Extension of Biot's theory of wave propagation to frozen porous media.The Journal of the Acoustical Society of America,1994,96(6):3753-3768.
[27]
[CM(71.98mm]Carcione J M,Tinivella U.Bottom-simulating reflec-tors:Seismic velocities and AVO effects.Geophysics,2000,65(1):54-67.
[28]
Pride S R, Berryman J G, Harris J M.Seismic atte-nuation to wave-induced flow.Journal of Geophysical Research,2004,109(B1):B01201,DOI:10.1029/2003JB002639.
[29]
Lee M W.Proposed moduli of dry rock and their application to predicting elastic velocities of sandstones:US Geological Survey,Scientific Investigations,2005-5119.
[30]
[CM(71.98mm]Tarantola A.Inverse Problem Theory:Methods for Data Fitting and Model Parameter Estimation.Elsevier Science,2002.
[31]
Hong T C,Sen M K.Joint Bayesian inversion for re-servoir characterization and uncertainty quantification.SEG Technical Program Expanded Abstracts,2008,27.
[32]
Tréhu A M,Torres M E,Bohrmann G et al.Leg 204 synthesis:gas hydrate distribution and dynamics in the central Cascadia accretionary complex.Proceedings of Ocean Drilling Program,Scientific Results,204:College Station,TX (Ocean Drilling Program),2006,1-40.
[33]
Riedel M,Tim S C,Malone M et al.Expedition 311 synthesis:scientific findings,2006.
[34]
Gilles G,David S G,Tim S C.Sonic velocities in an active gas hydrate system,Hydrate Ridge.Proceedings of Ocean Drilling Program,Scientific Results,204,2006.