摘要
孔隙度是储层四性关系研究中的重要参数,孔隙度模型的建立是储层物性研究的重要内容。鄂尔多斯盆地麻黄山区块宁东2,3,5井区延安组储层属低孔低渗储层,研究发现:利用常规方法——威利公式,解释的储层孔隙度与岩心孔隙度对比,误差较大。利用多元统计方法,以SPSS软件为平台,充分利用岩心物性资料,建立了岩心孔隙度与三孔隙度测井数据关系的模型。在鄂尔多斯盆地麻黄山区块宁东2,3,5井区延安组储层中应用孔隙度预测模型,计算得到的统计孔隙度与岩心孔隙度对比,吻合程度比利用常规方法计算得到的孔隙度要高。
Porosity is the main parameter in the study of four reservoir correlations, and the establishment of porosity model is the important content in the research of physical property of reservoir, The reservoir of Yan＇an Formation is low porosity and permeability in ND2,3 and 5 borefields in Mahuangshan Block, Ordos Basin. We have found that the error between conventional porosity and core porosity is great, In view of the low accuracy of porosity with normal methods, the paper has adopted the multivariate statistics method and SPSS to forecast porosity, and has established the porosity forecasting model. The porosity calculated by the porosity model is more similar with the core porosity in ND2,3 and 5 borefields of Mahuangshan Block, Ordos Basin. The study result shows that this model gains the best forecasting effect in Yan＇an reservoir of Mahuangshan.
出处
《断块油气田》
CAS
2008年第3期58-61,共4页
Fault-Block Oil & Gas Field
关键词
麻黄山
多元统计方法
逐步回归
孔隙度模型
Mahuangshan, multivariate statistics, stepwise regression, porosity model.
