基于多元回归分析的煤储层高渗区预测——以沁水盆地为例

基金项目:

国家重点基础研究(973)计划项目(编号:2002CB211703)

科技部社会公益专项资金项目(编号:2001DIA10016)

详细信息

Prediction of higher-permeability region for CBM exploration based on multivariate regression analysis:A case study from Qinshui Basin

摘要: 煤储层的渗透性是控制煤层气开采的主要储层参数之一。本文以沁水盆地为例,在总结我国煤储层渗透性特征的基础上,依据煤储层渗透性的影响因素,用多元回归分析方法建立煤储层渗透性预测模型。沁水盆地煤储层渗透性的多元回归方程,具有较高的拟合度。预测结果显示,沁水盆地有利于煤层气开发的高渗区,主要集中在南部的潘庄-阳城、北部的阳泉-寿阳及太原西山煤田等地区。
- 多元回归分析 /
- 煤储层 /
- 高渗透区 /
- 预测 /
- 沁水盆地
Abstract: The coal reservoir's permeability is one of the most important parameters in controlling CBM exploration.Taken Qinshui Basin as an example and based on its properties,the coal reservoir's permeability is predicted by multivariate regression analysis.The regression equation has a high fitting degree.The higher-permeability region for CBM exploration are Panzhuang-Yangcheng,Yangquan-Shouyang and Taiyuan Xishan coalfield in Qinshui Basin.
- multivariate regression analysis /
- coal reservoir /
- higher-permeability region /
- prediction /
- Qinshui Basin