| 利用叠前全波形反演进行储层预测 |
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| 引用本文： | 单蕊,卞爱飞,於文辉,曲赞. 利用叠前全波形反演进行储层预测[J]. 石油地球物理勘探, 2011, 0(4): 629-633,667,498 |
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| 作者姓名： | 单蕊 卞爱飞 於文辉 曲赞 |
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| 作者单位： | 中国地质大学(武汉)能源地球物理研究所;中国煤炭科工集团西安研究院;中国地质大学(武汉)地球物理与空间信息学院; |
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| 基金项目： | 国家自然科学基金(40774062); 中石化股份有限公司勘探南方分公司科研项目联合资助 |
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| 摘 要： | 利用完整地震反射波形求取地层弹性参数是叠前全波形反演的核心内涵。该方法可同时提取纵、横波阻抗和泊松比等多种岩性信息,在此基础上结合孔隙结构动力学分析成果与碎屑岩弹性参数分布规律,采用聚类分析方法,了解储层与产气层空间展布规律。对四川盆地YB地区珍珠冲段的储层预测结果表明,利用叠前全波形反演与孔隙结构动力学相结合,能够解决该区复杂的致密储层与产层预测问题。
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| 关 键 词： | 叠前全波形反演 孔隙结构动力学 弹性参数 聚类分析 储层预测 |
Pre-stack full waveform inversion for reservoir prediction |
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| Shan Rui,,Bian Ai-fei,Yu Wen-hui , Qu Zan,..Center for Geophysical Prospecting,China University of Geosciences,Wuhan,Hubei ,China.Xi'an Research Institute of China Coal Technology , Engineering Group Corp,Xi'an,Shanxi ,China. Pre-stack full waveform inversion for reservoir prediction[J]. Oil Geophysical Prospecting, 2011, 0(4): 629-633,667,498 |
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| Authors: | Shan Rui Bian Ai-fei Yu Wen-hui Qu Zan ..Center for Geophysical Prospecting China University of Geosciences Wuhan Hubei China.Xi'an Research Institute of China Coal Technology & Engineering Group Corp Xi'an Shanxi China |
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| Affiliation: | Shan Rui1,2,Bian Ai-fei1,Yu Wen-hui1 and Qu Zan1,3.1.Center for Geophysical Prospecting,China University of Geosciences(Wuhan),Wuhan,Hubei 430074,China2.Xi'an Research Institute of China Coal Technology & Engineering Group Corp,Xi'an,Shanxi 710077,China3.Institute of Geophysics and Geomatics,Chin |
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| Abstract: | Full waveform inversion uses complete prestack seismic waveform to extract horizon elastic parameters.More lithology information such as acoustic and shear wave impedance,Poisson ratio,can be simultaneously retrieved with this method.Spatial distribution of reservoirs and gas-pays can further be predicted with pore structure dynamics analysis and multi-parameter clustering analysis.Applications of full waveform inversion in Zhenzhuchong members in YB district,Sichuan Basin show that this method has successf... |
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| Keywords: | full waveform inversion pore structure dynamics elastic parameter clustering analysis reservoir prediction. |
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