① 中国地质大学,北京 100083;
② 北京诺克斯达石油科技有限公司,北京 100820;
③ 中国石化股份公司华北分公司,河南郑州40006;
4 北京市海淀区学院路29号中国地质大学地球物理与信息探测技术学院,100083
Study on non-homogeneity of oil/gas-bearing reservoir based on high-order statistic of seismic data: reservoir prediction case of Daniudi gas field, Ordos Basin
Li Xing-li1,4, Wang Yan-chun1, Liu Li-hui2, Liu Bao-guo3
1. China University of Geo-Science, Beijing City, 100083, China;
2. Beijing Noksda Science and Technology Cop Ltd, Beijing City, 100820, China;
3. SINOPEC North China Branch, 450006, China
Abstract：The paper introduced a method studying non-homogeneity of oil/gas-bearing reservoir based on high-order statistic of seismic data, the basic idea of which is to use high-order statistical parameters (torsion and kurtosis) in signal recognition and detection for processing and reconstruction of seismic records, and high-order statistical parameters of seismic data are able to provide detailed laterally changing information of reservoir. The model test showed that there is different high-order statistical feature in different structure of reservoir, and the lateral sensibility of high-order statistic is higher than vertical sensibility. The application results of practical data proved that sensibility of high-order statistic on lateral non-homogeneous change of reservoir is far greater than the inverted results of wave impedance, and predicted non-homogeneous rule of reservoir coincides with the reservoir position in known gas-producing and gas-nonproductive wells.
李杏莉, 王彦春, 刘力辉, 刘保国. 基于地震资料高阶统计量的含油气储层非均质性研究——鄂尔多斯盆地大牛地气田储层预测实例[J]. 石油地球物理勘探, 2009, 44(3): 314-318.
Li Xing-li, Wang Yan-chun, Liu Li-hui, Liu Bao-guo. Study on non-homogeneity of oil/gas-bearing reservoir based on high-order statistic of seismic data: reservoir prediction case of Daniudi gas field, Ordos Basin. OGP, 2009, 44(3): 314-318.
