波阻抗趋势面约束在薄层建模中的应用
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摘要
以南海某油田为例,探讨了应用地震反演波阻抗数据建立趋势面约束三维储层建模的思路与方法,同时根据油田生产情况进行了属性建模及储量分析。研究表明,综合应用包括地震信息在内的多学科信息进行沉积微相随机建模,能有效弥补井间信息不足的缺陷,降低地质模型的不确定性,所建模型能够较好地描述储层微相三维展布特征,为油田生产提供地质依据,也为随后的储层物性预测乃至数值模拟研究提供必要的支持。
In this paper, the South China Sea Oilfield is taken for example, trends of impedance inversion are uesd to constrain three-dimensional reservoir modeling, oil production and reserves of property modeling is carried out. Studies show that integrated seismic and multi-disciplinary information stochastic modeling can effectively reduce the uncertainty of the geological model. This high precise reservoir model can give more information of oil engineering, and is a basis of physical property forecasting and reservoir numerica1 simulation.
In this paper, the South China Sea Oilfield is taken for example, trends of impedance inversion are uesd to constrain three-dimensional reservoir modeling, oil production and reserves of property modeling is carried out. Studies show that integrated seismic and multi-disciplinary information stochastic modeling can effectively reduce the uncertainty of the geological model. This high precise reservoir model can give more information of oil engineering, and is a basis of physical property forecasting and reservoir numerica1 simulation.
引文
[1]裘怿楠,贾爱林.储层地质模型10年[J].石油学报,2000,21(4):101-104.
[2]吴胜和,刘英,范峥,等.应用地质和地震信息进行三维沉积微相随机建模[J].古地理学报,2003,5(4):439-449.
[3]Tingting Yao.Integration of seismic attribute map into 3D facies modeling[J].Journal of Petroleum Science and Engineering,2000,16(3):69-84.
[4]Chen Q,Sidney S.Seismic attribute technology for reservoir forecasting and monitoring[J].The Leading Edge,1997,16(5):445-450.
[5]裘怿楠.储层地质模型[J].石油学报,1991,12(4):55-62.
[6]Geyer C.JMarkov chain Monte Carlo maximum likelihood,Computing Science and Statistics:Proceedings of the 23rd SymposiumInterface[J].Washington:Institute of Mathematical Statistics,1991,11(3):156-163.
[7]Srivastava R M.An overview of stochastic methods for reservoir characterization.In:Stochastic Modeling and Geostatistics:Principles,Methods,and Case Studies[J].The American Association of Petroleum Geologists,1994,3(20):231-238.
[8]Deutsch C V.Geostatistical Software Library and User’s Guide[M].London:Oxford Press,1996.
[9]吴元燕,吴胜和,蔡正旗.油矿地质学[M].北京:石油工业出版社,2005.
[2]吴胜和,刘英,范峥,等.应用地质和地震信息进行三维沉积微相随机建模[J].古地理学报,2003,5(4):439-449.
[3]Tingting Yao.Integration of seismic attribute map into 3D facies modeling[J].Journal of Petroleum Science and Engineering,2000,16(3):69-84.
[4]Chen Q,Sidney S.Seismic attribute technology for reservoir forecasting and monitoring[J].The Leading Edge,1997,16(5):445-450.
[5]裘怿楠.储层地质模型[J].石油学报,1991,12(4):55-62.
[6]Geyer C.JMarkov chain Monte Carlo maximum likelihood,Computing Science and Statistics:Proceedings of the 23rd SymposiumInterface[J].Washington:Institute of Mathematical Statistics,1991,11(3):156-163.
[7]Srivastava R M.An overview of stochastic methods for reservoir characterization.In:Stochastic Modeling and Geostatistics:Principles,Methods,and Case Studies[J].The American Association of Petroleum Geologists,1994,3(20):231-238.
[8]Deutsch C V.Geostatistical Software Library and User’s Guide[M].London:Oxford Press,1996.
[9]吴元燕,吴胜和,蔡正旗.油矿地质学[M].北京:石油工业出版社,2005.
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