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《Acta Petrolei Sinica》 2006-02
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Integrative prediction of microfacies with multiple stochastic modeling methods

Yin Yanshu~1 Wu Shenghe~1 Zhang Changmin~2 Li Shaohua~2 Zhang Shangfeng~2(1.Faculty of Resources and Information Technology,China University of Petroleum,Beijing 102249,China;2.Department of Earth Science,Yangtze University,Jingzhou 434023,China)  
A new comprehensive method for predicting reservoir microfacies by integrating multiple stochastic modeling methods was presented.The high-resolution reservoir microfacies model was constructed with the object-based methods which can show the crisp shape of microfacies and with the pixel-based methods which can reproduce the complex distribution of microfacies.A high-precision reservoir geological model was established,and a general modeling flowchart was given.Taking the subaqueous fan reservoir of Pucheng Oilfield in Dongpu Depression as an example,the object-based stochastic modeling method was integrated with the pixel-based sequential indicator stochastic modeling method to construct the microfacies distribution model of Es~~2__3 in Pucheng Oilfield.The modeling result is well matched with the real distribution of the reservoir microfacies of Pucheng Oilfield.
【Fund】: 国家重点基础研究发展规划(973)项目(2001CB209106)“低效气藏的形成机理及地质模式研究”;; 中国石化集团公司科技攻关项目(P031033)“深层低渗难动用储量开发配套技术”部分成果
【CateGory Index】: P618.13
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