地震多属性储层预测技术在辽河滩海东部凹陷的应用

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英文篇名：Application of reservoir prediction technology using seismic multi-attributes in the east sag of Liaohe beach area 中文刊名：油气藏评价与开发 英文刊名：Reservoir Evaluation and Development 作者：魏冬 ; 王宏语 ; 杜羽书 ; 孙阳子 英文作者：Wei Dong1 ; 2 ; Wang Hongyu1 ; 2 ; Du Yushu3and Sun Yangzi1 ; 2(1.School of Energy Resource ; China University of Geosciences(Beijing) ; Beijing 100083 ; China ; 2.MOE Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Accumulation Mechanism ; China University of Geosciences(Beijing) ; Beijing 100083 ; China ; 3.Research Institute of Petroleum Exploration and Development ; East China Branch Company ; SINOPEC ; Nanjing ; Jiangsu 210011 ; China) 中文关键词：辽河滩海东部凹陷 ; 东营组 ; 地震属性 ; 储层预测 英文关键词：east sag of Liaohe beach area ; Dongying formation ; seismic attributes ; reservoir prediction 出版日期：2012-04-26 机构：中国地质大学(北京)能源学院;中国地质大学(北京)海相储层演化与油气富集机理教育部重点实验室;中国石化华东分公司勘探开发研究院; 年：2012 期：02 出版单位：油气藏评价与开发

摘要

地震属性参数是对储层地质状况的数学表征。地震多属性分析技术是储层预测的有效手段。辽河滩海东部凹陷勘探程度低,成果少。综合运用均方根振幅、瞬时频率和相对波阻抗等地震多属性预测技术以及钻井资料对研究区内东营组各层段储层进行深入研究,较好的预测了东营组各层段的有利储层发育带。结合前期地质资料,认为研究区内海南东坡超覆带北部的三角洲砂体和太葵构造带北部的三角洲砂体为有利的储层发育带。总结得出地震多属性分析技术是宏观预测储层砂体展布范围的有效手段。
The seismic attribute parameter is the mathematical characterization of reservoir geological status.The seismic multi-at tributes analysis technology is an effective means in reservoir prediction.The east sag of Liaohe beach area has the features of low exploration degree and scarce results.Comprehensive application of seismic multi-attributes prediction technologies including RMS amplitude,instantaneous frequency and relative wave impedance,combined with drilling data,proved effective in predicting favorable reservoir development zone of all layers in Dongying formation.Based on the preliminary geological data,the research in fers that the delta sand bodies in the northern overlap zone of Hainan east slope and the northern Taikui tectonic zone are favorable zones for reservoir development.It is considered that seismic multi-attributes analysis technology is an effective method in predict ing the reservoir sandbody distribution area.

引文

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