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数据挖掘在储层孔渗特征研究中的应用

Application of data ming in research on porosity and permeability in reservoir
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摘要 为解决储层孔渗特征研究中出现的数据量大、格式多样和数据分析困难等瓶颈性问题,依据CRISP-DM标准数据挖掘流程,将储层孔渗特征研究划分为6个阶段。应用此过程模型,在短时间内自动化绘制了鄂尔多斯盆地乌审召等4个地区盒8上等4个层位的32张孔渗直方图,计算了孔渗平均值、极值等统计量,并通过空间插值算法总结出相关层位孔渗空间分布的规律。 In order to resolve the bottleneck problems on large quantity of data, diverse types and data analysis difficulty in the research on porosity and permeability in reservoir, the research has been carried out with six stages according to standard flow of CRISP-DM. By using this process model, we accomplished 32 sheets of porosity and permeability histograms automatically in a few minutes for totaling four groups in four areas in upper 8th member of Wushenzhao in Ordos Basin, and calculated the mean value, extremum and other statistics of porosity and permeability and finally summarize the spatial distribution rule of porosity and permeability in the related strata based on spatial interpolation.
出处 《世界地质》 CAS CSCD 2008年第4期406-411,共6页 World Geology
基金 国家重点基础研究发展规划(2003CB214601)
关键词 储层 孔渗特征 数据挖掘 Clementine软件 CRISP—DM reservoir characteristics of porosity and permeability data mining Clementine software CRISP-DM
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