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地震属性分析技术在BN44区储层预测中的应用
引用本文:张伟,高刚,桂志先,王晓阳.地震属性分析技术在BN44区储层预测中的应用[J].石油天然气学报,2008,30(6).
作者姓名:张伟  高刚  桂志先  王晓阳
作者单位:油气资源与勘探技术教育部重点实验室(长江大学),湖北,荆州,434023
摘    要:地震属性分析是储层预测的重要手段,特别是对复杂油气藏的勘探。在地震资料精细构造解释的基础上,对BN44地区目的层提取地震属性并优选出对含油气敏感的属性,结合地震、地质资料分析了对含油气敏感的地震属性,预测出有利的含油气储层,最后应用神经网络法对储层的含油气进行定量预测。应用结果表明,优选出对油气响应敏感的地震属性对储层预测具有重要的指导意义。

关 键 词:储层预测  地震属性  属性优化  神经网络

Application of the Seismic Analytic Technique in the Predicting Reservoir in the Area of BN44
ZHANG Wei,GAO Gang,GUI Zhi-xiang,WANG Xiao-yang.Application of the Seismic Analytic Technique in the Predicting Reservoir in the Area of BN44[J].Journal of Oil and Gas Technology,2008,30(6).
Authors:ZHANG Wei  GAO Gang  GUI Zhi-xiang  WANG Xiao-yang
Abstract:The Seismic attribute analysis was an important means for reservoir prediction, particularly for the exploration of complex reservoir. On the basis of fine interpretation of seismic data, the seismic attributes of target layer were extracted in BN44 Area and the sensitive seismic attributes were optimized. Combining with seismic and geological data the seismic sensitive attributes were analyzed, the beneficial reservoirs were predicted. Finally the neural networks technology is used to qualitatively predict the reservoirs. The result shows that to optimizate seismic attribute having the sensitivities to the oil and gas is of a great significance for guiding the reservoirs prediction.
Keywords:seismic attribute  attribute optimization  reservoir forecast  neural networks
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