Impedance inversion of strongly heterogeneous carbonate reservoir based on amplitude-constrained modeling
ZHANG Yuanyin1,2, SUN Zandong2, HAN Jianfa3, Ahmatjan ABUDRAHMAN4, ZHANG Jingting5
1. Oil and Gas Survey, China Geological Survey, Beijing 100083, China; 2. Laboratory for Integration of Geology and Geophysics, China University of Petroleum(Beijing), Beijing 102249, China; 3. Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla, Xinjiang 841000, China; 4. Research Institute of Petroleum Exploration and Production, SINOPEC, Beijing 100083, China; 5. Downhole Operation, Dagang Oilfield Company, PetroChina, Tianjin 300283, China
Abstract：Deeply buried carbonate reservoirs in the Tarim Basin are secondary dissolution pores and fractures which are dominated by visible dissolution caves,holes,and fractures,and characterized by strong 3D heterogeneity.They cannot be explicitly modeled by conventional facies-controlled,surface-karst modeling methods,and the storage facies controlled modeling method.Therefore an amplitude-constrained modeling method is proposed to solve this problem.First pure P-wave data are obtained with AVO effects removal.Then a colored inversion is conducted with logging data to achieve relative impedance.Finally a cross-matching is carried out with logging data to get absolute impedance for inversion constraint.This method is essentially realized in the deterministic framework and mainly contains pure P-wave data calculation,relative impedance computation,amplitude-constrained low frequency model construction,and impedance inversion.Field data tests in the ZG8 area suggest that the proposed method could avoid well data effects existed in the conventional interpolation method,and overcome the precision deficiency of processing velocity.The secondary carbonate reservoir with strong heterogeneity could be more finely delineated.
刘坤岩,马丽娟,邬兴威,等.塔河奥陶系薄层状孔洞储集体定量预测方法研究[J].地球物理学进展,2017,32(4):1614-1620.LIU Kunyan,MA Lijuan,WU Xingwei,et al.Quantitative predication of flaggy reservoir of Ordovician formation in Tahe oilfield[J].Progress in Geophy-sics,2017,32(4):1614-1620.
[2]
李鹏飞,崔德育,田浩男,等.塔里木盆地塔北地区X区块断溶体刻画方法与效果[J].石油地球物理勘探,2017,52(增刊1):189-194.LI Pengfei,CUI Deyu,TIAN Haonan,et al.Fault-karst carbonate reservoir description with GeoEast interpretation sub-system in the Tabei Area,Tarim Basin[J].Oil Geophysical Prospecting,2017,52(S1):189-194.
杨子川,刘军,陈黎,等.顺南地区奥陶系碳酸盐岩储层地震识别与评价[J].石油物探,2017,56(2):280-287.YANG Zichuan,LIU Jun,CHEN Li,et al.Seismic identification and evaluation of Ordovician carbonate reservoir in Shunnan area[J].Geophysical Prospecting for Petroleum,2017,56(2):280-287.
[5]
Yang P,Sun Z D,Liu Y L,et al.Origin and architecture of fractured-cavernous carbonate reservoirs and their influences on seismic amplitudes[J].The Lea-ding Edge,2012,31(2):140-150.
[6]
Loucks R G.Paleocave carbonate reservoirs:origins,burial-depth modifications,spatial complexity,and reservoir implications[J].AAPG Bulletin,1999,83(11):1795-1834.
[7]
Sun Z D,Wang H Y,Liu Z S,et al.The theory and application of DEM-Gassmann rock physics model for complex carbonate reservoirs[J].The Leading Edge,2012,31(2):152-158.
[8]
张远银,孙赞东,唐志远,等.基于AVO反演的溶蚀孔洞型碳酸盐岩储层预测[J].石油地球物理勘探,2013,48(1):109-113.ZHANG Yuanyin,SUN Zandong,TANG Zhiyuan,et al.Caved carbonate reservoir prediction based on AVO inversion[J].Oil Geophysical Prospecting,2013,48(1):109-113.
[9]
Zhang Y Y,Sun Z D,Yang H J,et al.Pre-stack inversion for caved carbonate reservoir prediction:A case study from Tarim Basin,China[J].Petroleum Science,2011,8(4):415-421.
[10]
Zhang Y Y,Sun Z D,Han J F,et al.Fluid mapping in deeply buried Ordovician paleokarst reservoirs in Ta-rim Basin,western China[J].Geofluids,2016,16(3):421-433.
[11]
刘立峰,孙赞东,杨海军,等.塔中地区碳酸盐岩储集相控建模技术及应用[J].石油学报,2010,6(31):952-958.LIU Lifeng,SUN Zandong,YANG Haijun,et al.Modeling of facies-controlled carbonate reservoirs in the Tazhong area and its application[J].Acta Petrolei Sinica,2010,31(6):952-958.
[12]
Cerney B,Bartel D C.Uncertainties in low-frequency acoustic impedance models[J].The Leading Edge,2007,26(1):74-87.
[13]
Pedersen-Tatalovic R,Uldall A,Jacobsen N L.Event-based low-frequency impedance modeling using well logs and seismic attributes[J].The Leading Edge,2008,27(5):592-603.
[14]
Grant S R.The impact of low frequency models on reservoir property predictions[C].Extended Abstracts of 75th EAGE Conference & Exhibition,London,England,2013,doi:10.3997/2214-4609.20130335.
[15]
Zou Z,Ling Y,Wang Y J,et al.Low-frequency impe-dance modeling based on well logs and seismic attri-butes[C].Extended Abstracts of 75th EAGE Conference & Exhibition,London,England,2013,doi:10.3997/2214-4609.20130949.
[16]
Hampson D P.Simultaneous inversion of pre-stack seismic data[C].SEG Technical Program Expanded Abstracts,2005,24,doi:10.1190/1.2148008.
[17]
Huck A,Quiquerez G,de G P.Improving seismic in-version through detailed low frequency model building[C].Extended Abstracts of 72nd EAGE Conference & Exhibition,Barcelona,Spain,2010,doi:10.3997/2214-4609.201400776.
[18]
Xi X Y,Ling Y,Zou Z,et al.The applicaion of a low-frequency model constrained by seismic velocity to acoustic impedance inversion[C].SEG Technical Program Expanded Abstracts,2013,32,doi:10.1190/segam2013-0310.1.
[19]
Liu Z P,Liu J Q.Seismic-controlled nonlinear extra-polation of well parameters using neural networks[J].Geophysics,1998,63(6):2035-2041.
[20]
Nivlet P.Low-frequency constrain in a priori model building for stratigraphic inversion[C].SEG Technical Program Expanded Abstracts,2004,23,doi:10.1190/1.1839678.
[21]
Kumar N,Negi S S.Low-frequency modeling and its impact on seismic inversion data[C].9th Biennial International Conference & Exposition on Petroleum Geophysics,Hyderabad,India.2012,doi:10.1190/1.2148016.
[22]
Damsleth E,Tjolsen C B,More H.A two-stage stochastic model applied to a North Sea reservoir[J].Journal of Petroleum Technology,1992,doi:10.2118/20605-pa.
[23]
杨辉廷,江同文,颜其彬,等.缝洞型碳酸盐岩储层三维地质建模方法初探[J].大庆石油地质与开发,2004,23(4):11-12,16.YANG Huiting,JIANG Tongwen,YAN Qibin,et al.Establishment of 3D geology models of fracture-cavern carbonate reservoir[J].Petroleum Geology and Oilfield Development in Daging,2004,23(4):11-12,16.
[24]
霍春亮,古莉,赵春明,等.基于地震、测井和地质综合一体化的储层精细建模[J].石油学报,2007,28(6):66-71.HUO Chunliang,GU Li,ZHAO Chunming,et al.Integrated reservoir geological modeling based on seismic,log and geological data[J].Acta Petrolei Sinica,2007,28(6):66-71.
Zhang Y Y,Sun Z D,Fan C Y.An iterative AVO inversion workflow for S-wave improvement[C].Extended Abstracts of 75th EAGE Conference & Exhibition,London,England,2013,doi:10.3997/1365-2397.2014014.
[27]
Han J F,Sun Z D,Zhang X C,et al.Integrated identification for complex reservoir based on pure P-wave data and post-stack data[C].SEG Technical Program Expanded Abstracts,2013,32,doi:10.1190/segam2013-1287.1.
[28]
Lancaster S,Whitcombe D.Fast track ‘coloured’ inversion[C].SEG Technical Program Expanded Abstracts,2000,19,doi:10.1190/1.1815711.
