地质模型约束下的地震储层预测技术及其在梨树断陷中的应用
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摘要
在钻测井约束下,结合梨树断陷有关探井资料和区域性沉积相研究,综合运用调谐频率加强法高分辨率处理技术和基于地震资料的时频分析技术、地震相技术、多属性分析技术及基于层序框架下的地震资料解释技术等,采取拟声波曲线重构地震反演技术和基于调谐频率加强法的高分辨率反演方法等,研究目的层岩性、物性和含油气性。同时,结合基于地震属性分析的人工智能技术的储层物性预测方法,预测砂体的空间分布和几何形态,落实隐蔽圈闭,完成了滚动勘探和开发2个阶段不同井区有利砂体分布规律评价及预测工作。
Under the constraint of drilling and well logging,a series of techniques combined with the drill data and territorial sedimentary facies in Lishu fault depression are taken to research the lithologic character,physical property,hydrocarbon potential of subject reservoir.These techniques involve high resolution seismic data processing techniques based on tuning-frequency-enhanced method,time-frequency analysis,seismic facies analysis technique,seismic multiple-attributes analysis technology,seismic data interpretation techniques under sequential framework,logging constrained impedance inversion,and so on.In the inversion,reconstructed-log seismic inversion technology and high-resolution inversion technology based on tuning-frequency-enhanced method are used.The method to predict reservoir physical properties based on artificial intelligence technology in seismic attribute analysis is also used.Using the above methods,we successfully predicted the spatial distribution and geometry of sand body,and recognized the subtle traps in Lishu fault depression.We completed the work of evaluation and prediction of beneficial sand in different wellblocks.The wellblocks relate to the exploration stage and development stage.This research results played a significant role in the exploration and evelopment in Lishu fault depression.
Under the constraint of drilling and well logging,a series of techniques combined with the drill data and territorial sedimentary facies in Lishu fault depression are taken to research the lithologic character,physical property,hydrocarbon potential of subject reservoir.These techniques involve high resolution seismic data processing techniques based on tuning-frequency-enhanced method,time-frequency analysis,seismic facies analysis technique,seismic multiple-attributes analysis technology,seismic data interpretation techniques under sequential framework,logging constrained impedance inversion,and so on.In the inversion,reconstructed-log seismic inversion technology and high-resolution inversion technology based on tuning-frequency-enhanced method are used.The method to predict reservoir physical properties based on artificial intelligence technology in seismic attribute analysis is also used.Using the above methods,we successfully predicted the spatial distribution and geometry of sand body,and recognized the subtle traps in Lishu fault depression.We completed the work of evaluation and prediction of beneficial sand in different wellblocks.The wellblocks relate to the exploration stage and development stage.This research results played a significant role in the exploration and evelopment in Lishu fault depression.
引文
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[8]杨立英,李瑞磊.松辽盆地南部深层火山岩、火山机构和火山岩相地质-地震综合识别[J].吉林大学学报:地球科学版,2007,37(6):1083-1090.Yang Liying,Li Ruilei.Integrated Recognition withGeologic and Seismic Methods on the Volcanic Rocks,Volcanic Edifices and Volcanic Facies in Southern DeepSongliao Basin[J].Journal of Jilin University:EarthScience Edition,2007,37(6):1083-1090.
[9]唐华风,崔凤林,王璞珺,等.地质模型约束下火山岩储集层地震识别[J].新疆石油地质,2009,30(5):563-565.Tang Huafeng,Cui Fenglin,Wang Pujun,et al.Seismic Identification of Volcanic ReservoirConstrained by Geology Model[J].Xinjiang PetroleumGeology,2009,30(5):563-565.
[2]张科.乌—夏断裂带储层预测与评价地震方法研究[D].东营:中国石油大学,2007:42-47.Zhang Ke.Research on Seismic Methods of ReservoirPrediction&Evaluation in Wu-Xia Fault Zone[D].Dongying:China University of Petroleum,2007:42-47.
[3]杜世通.地震技术识别与描述超薄储层的潜力与局限[J].油气地球物理,2004,2(4):49-58.Du Shitong.The Potentiality and Limitation of SeismicTechnique Identifying and Describing Ultra-ThinReservoir[J].Petroleum Geophysics,2004,2(4):49-58.
[4]杜世通.用地震反演技术实现资料高分辨率处理[J].油气地球物理,2004,2(4):59-65.Du Shitong.The Realization of High Resolution DataProcessing by Using Seismic Inversion[J].PetroleumGeophysics,2004,2(4):59-65.
[5]杜世通.地震层序模型与地震资料高分辨率处理[J].勘探家,1998,3(3):17-23.Du Shitong.Seismic Sequence Model and Seismic DataHigh-Resolution Processing[J].PetroleumExplorationist,1998,3(3):17-23.
[6]李庆忠.走向精确勘探的道路[M].北京:石油工业出版社,1993.Li Qingzhong.The Way to Obtain a Better Resolutionin Seismic Prospecting[M].Beijing:PetroleumIndustry Press,1993.
[7]余瀚熠,李瑞,蒋涔,等.测井曲线重构技术在储层反演中的应用[J].物探化探计算技术,2009,31(6):603-607.Yu Hanyi,Li Rui,Jiang Cen,et al.Application ofWell Logging Curve Reconstruction Technique inReservoir Prediction[J].Computing Techniques forGeophysical and Geochemical Exploration,2009,31(6):603-607.
[8]杨立英,李瑞磊.松辽盆地南部深层火山岩、火山机构和火山岩相地质-地震综合识别[J].吉林大学学报:地球科学版,2007,37(6):1083-1090.Yang Liying,Li Ruilei.Integrated Recognition withGeologic and Seismic Methods on the Volcanic Rocks,Volcanic Edifices and Volcanic Facies in Southern DeepSongliao Basin[J].Journal of Jilin University:EarthScience Edition,2007,37(6):1083-1090.
[9]唐华风,崔凤林,王璞珺,等.地质模型约束下火山岩储集层地震识别[J].新疆石油地质,2009,30(5):563-565.Tang Huafeng,Cui Fenglin,Wang Pujun,et al.Seismic Identification of Volcanic ReservoirConstrained by Geology Model[J].Xinjiang PetroleumGeology,2009,30(5):563-565.
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