摘要
将岩心分析数据与测井信息相结合,直接利用或构建渗透率测井响应敏感参数,采用多元线性回归分析建模方法,研究建立了鄂尔多斯盆地研究区长61低孔低渗储层渗透率测井解释模型。依据泥质含量参数特征,对两种不同岩性特征的储层分类进行渗透率测井响应敏感参数多元线性回归分析,分别建立渗透率测井解释模型,对应于研究区两类不同的沉积微相特征。结果表明,分类建立的模型测井解释渗透率与岩心实测渗透率一致性良好,满足研究区解释精度要求。因此,在沉积微相背景约束条件下,对研究区储层选择合理的测井参数进行多元线性回归分类建立渗透率测井解释模型在研究区低孔低渗储层中可以达到较好的应用效果。
Based on multiple regressions analysis of core measured data and well logging parameters or constructed parameters,this work made a study on building permeability logging evaluation model of low porosity and low permeability reservoirs of Ordos Basin in the research area. A good correlation is obtained in multiple regressions of the logging parameters after data classification according to shale content feature of the reservoirs. The established two models show a good correspondence with the sedimentary microfacies of the research area. And the log interpretation results are in agreement with the experiment data,which indicates the models meet the accuracy requirement of research area. Approving application effect can be achieved by select reasonable multiple regression log interpretation model to calculate permeability of low porosity and low permeability reservoirs based on the sedimentary microfacies background in the research area.
出处
《科学技术与工程》
北大核心
2017年第17期172-177,共6页
Science Technology and Engineering
基金
"十三五"国家科技支撑计划课题(2016ZX05045003-005)资助
关键词
渗透率
测井建模
低孔低渗储层
沉积微相
鄂尔多斯盆地
permeability
logging model-building
low porosity and low permeability reservoirs
sedimentary microfacies
Ordos Basin
