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基于灰色系统理论的储层参数预测方法与应用
引用本文:李谋杰,毛宁波,张敏知.基于灰色系统理论的储层参数预测方法与应用[J].石油天然气学报,2006,28(3):64-65,90.
作者姓名:李谋杰  毛宁波  张敏知
作者单位:长江大学地球物理与石油资源学院,湖北,荆州,434023
摘    要:通过数学变换提取某工区日的层的地震属性.利用灰色系统理论.对所提取的地震属性和孔隙度进行一次粟加生成,并用灰色关联度分析,提取与该工区孔隙度关联度较好的地震属性.然后建立GM(0,N)模型,对该地区的孔隙度进行预测.得到工区内孔隙度平面分布图。结果表明:预测结果合理,误差较小.取得了比较满意的结果。

关 键 词:灰色系统  孔隙度预测  属性提取  属性优化
文章编号:1000-9752(2006)03-0064-02
收稿时间:2006-04-12
修稿时间:2006-04-12

Method and Application of Reservoir Parameter Prediction Based on Grey Theory
LI Mou-jie,MAO Ning-bo,ZHANG Ming-zhi.Method and Application of Reservoir Parameter Prediction Based on Grey Theory[J].Journal of Oil and Gas Technology,2006,28(3):64-65,90.
Authors:LI Mou-jie  MAO Ning-bo  ZHANG Ming-zhi
Abstract:The seismic attribute in a target zone of a working site is extracted by mathematical transform, grey theory is used to conduct a accumulated generation for the extracted seismic attribute and porosity and is analyzed by using grey degree of association to extract seismic attribute with good porosity correlation in the working site, and then GM (0,N) model is established for predicting the porosity in the area, by which the planar distributional diagram of porosity in the working site is poltted. The result shows that the method is of rational predicting result with less error and satisfied effect.
Keywords:grey system  porosity prediction  attribute extraction  attribute optimization
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