节点文献
基于回归模型的煤层含气量预测方法研究
Study on Prediction Method of Coal-bed Methane Content Based on Regression Model
【摘要】 煤层含气量是煤层气储层评价的重要参数,基于煤层含气量与测井参数的关系较为复杂,论文对煤层含气量与测井参数做相关分析,对于相关系数较小的参数,通过构造复合参数法,提高了含气量与参数的相关系数,最终共优选6种测井参数,建立含气量与测井信息的线性、二次多项式回归方程,并对预测值进行有效性检验,证明建立的线性和二次回归方程是有效的。
【Abstract】 Coal-bed methane content is an important parameter for evaluating coal-bed methane reservoir. And according to the complex relation between coal-bed methane content and logging parameters,relative research was conducted,and for parameters with small correlation coefficient,composite parameter was built to improve the correlation coefficient between content and logging. Linear and second-degree polynomials equations were established,for the content and logging,selecting 6 logging parameters,and availability of the equations was verified through validity check on the predictive value.
【Key words】 coal-bed methane content; logging curve; composite parameters; prediction model;
- 【文献出处】 煤炭工程 ,Coal Engineering , 编辑部邮箱 ,2014年09期
- 【分类号】TD712.3
- 【被引频次】13
- 【下载频次】218