利用地震岩石物理模拟预测三湖地区生物气成藏单元
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摘要
针对三湖地区第四系疏松砂泥岩薄互层,着重分析了该区生物气"有储层、谁控藏"的勘探难点,并认为,在有利于岩性气藏发育的八大斜坡区寻找低饱和度岩性气藏,关键在于定量预测气藏成藏单元及其主控因素的非均质性。文中以地震资料为核心,以测井、地质、测试动态资料为约束条件,将二维地震道网格化,并通过变差函数分析、序贯指示随机模拟方法建立岩石物理三维随机模型,从而获得对含气异常较敏感的岩石物理属性体。分析该属性体产气、产水的阈值区间以建立气水识别模式,进而对岩石物理属性三维模型进行流体置换,得到网格化的气水单元分布模型及地震成藏单元,最终得到生物气藏可能的三维空间分布特征。钻探结果表明:应用地震成藏学指导下的横波岩石物理模拟技术预测天然气藏三维分布,效果明显,适用性强,其创新思路值得推广。
Aimed at the Quaternarythin interbed ofloose sand and shale in Sanhu area, the exploration of biogenetic gas is analyzed. It pointed out that to quantitatively predict the gas reservoir accumulation unit and the heterogeneity of the controlling factors is the key for looking for lowsaturation lithologic gas reservoir in the eight major slope areas. Based on the seismic data, combined with logging, geology and testing data, as well as making the two-dimensional seismic data gridding, the variogram analysis and sequential indicator stochastic simulation method are applied to establish 3D petrophysical stochastic model, and the petrophysical properties body is obtained which is more sensitive togas-bearingabnormal. The most sensitive gas threshold range ofpetrophysical properties bodyis analyzed so as to build up the gas and water identification model, and carry out the fluid substitution for the 3D model of petrophysical properties. The grid cell distribution model and seismic reservoir unit are obtained and finallythe possible 3Dspatial distribution characteristics of biogenetic gas reservoir can be acquired. The drilling result shows that the S- wave petrophysical simulation method guided by seismic-petroleum accumulation science can predict the 3D distribution ofnatural gas reservoir, and good application effects are obtained.
Aimed at the Quaternarythin interbed ofloose sand and shale in Sanhu area, the exploration of biogenetic gas is analyzed. It pointed out that to quantitatively predict the gas reservoir accumulation unit and the heterogeneity of the controlling factors is the key for looking for lowsaturation lithologic gas reservoir in the eight major slope areas. Based on the seismic data, combined with logging, geology and testing data, as well as making the two-dimensional seismic data gridding, the variogram analysis and sequential indicator stochastic simulation method are applied to establish 3D petrophysical stochastic model, and the petrophysical properties body is obtained which is more sensitive togas-bearingabnormal. The most sensitive gas threshold range ofpetrophysical properties bodyis analyzed so as to build up the gas and water identification model, and carry out the fluid substitution for the 3D model of petrophysical properties. The grid cell distribution model and seismic reservoir unit are obtained and finallythe possible 3Dspatial distribution characteristics of biogenetic gas reservoir can be acquired. The drilling result shows that the S- wave petrophysical simulation method guided by seismic-petroleum accumulation science can predict the 3D distribution ofnatural gas reservoir, and good application effects are obtained.
引文
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[11]王西文,胡自多,田彦灿.地震子波处理的二步法反褶积方法研究[J].地球物理学进展,2006,21(4):1167-1179.
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[14]郝雪峰.陆相断陷盆地层序地层与成藏单元类比分析[J].油气地质与采收率,2007,14(2):16-18.
[15]Jeffrey M Y,Richard L C.Stochastic Modeling and Geostatistics:Principles,Methods,and Case Studies[M].Tulsa,Oklahoma,USA:The American Association of Petroleum Geologists,1994:216-240.
[16]Strebelle S,Journel A.Reservoir modeling using multiple-point statistics[J].SPE Annual Technical Conference and Exhibition,2001,24(3):1-11.
[2]杨杰,卫平生,李相博.石油地震地质学的基本概念、内容和研究方法[J].岩性油气藏,2010,22(1):1-6.
[3]李明诚.柴达木盆地三湖地区第四系生物气运聚成藏的定量研究[J].石油学报,2009,30(6):809-810.
[4]王西文,苏明军.叠前地震反演在柴达木盆地三湖地区天然气预测中的应用[J].石油地球物理勘探,2008,43(3):300-307.
[5]王西文,陈志勇,冯云发.柴达木盆地三湖地区生物天然气储层预测方法[J].石油物探,2007,46(5):472-483.
[6]贾承造,赵文智,邹才能.岩性地层油气藏勘探研究的两项核心技术[J].石油勘探与开发,2004,31(3):3-9.
[7]王辉,张玉芬.基于模型的叠前数据多参数非线性反演[J].岩性油气藏,2008,20(2):108-113.
[8]窦伟坦,杜玉斌,于波.全数字地震叠前储层预测技术在苏里格天然气勘探中的研究与应用[J].岩性油气藏,2009,21(4):63-68.
[9]尚永生,杨长春,王真理.柴达木盆地第四系气藏烃类检测研究[J].地球物理学进展,2007,22(3):831-835.
[10]黄绪德.油气预测与油气藏描述—地震勘探直接找油气[M].江苏:江苏科学技术出版社,2003:32-186.
[11]王西文,胡自多,田彦灿.地震子波处理的二步法反褶积方法研究[J].地球物理学进展,2006,21(4):1167-1179.
[12]Dubrule O.Geostatistics for Seismic Data Integration in Earth Mo-dels:Distinguished Instructor Short Course Series No.6[C].SEG/EAGE,2003.
[13]徐怀民,徐朝晖,张善文.中国东部陆相盆地的层次结构、油气成藏体系与隐蔽油气藏特征[J].中国科学D辑:地球科学,2008,38(增刊Ⅰ):129-137.
[14]郝雪峰.陆相断陷盆地层序地层与成藏单元类比分析[J].油气地质与采收率,2007,14(2):16-18.
[15]Jeffrey M Y,Richard L C.Stochastic Modeling and Geostatistics:Principles,Methods,and Case Studies[M].Tulsa,Oklahoma,USA:The American Association of Petroleum Geologists,1994:216-240.
[16]Strebelle S,Journel A.Reservoir modeling using multiple-point statistics[J].SPE Annual Technical Conference and Exhibition,2001,24(3):1-11.
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