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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

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【作者】 郭彦省孟召平

【Author】 GUO Yan-sheng;MENG Zhao-ping;College of Geosciences and Surveying Engineering,China University of Mining and Technology (Beijing);Beijing Polytechnic College;Key Laboratory of Geological Hazards on Three Gorges Reservoir Area,Ministry of Education;

【机构】 中国矿业大学(北京)地球科学与测绘工程学院北京工业职业技术学院三峡大学三峡库区地质灾害教育部重点实验室

【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.

【基金】 国家自然科学基金项目(41372163,41172145,41030422);“十二五”国家科技重大专项“山西晋城矿区采气采煤一体化煤层气开发示范工程”(2011ZX05063);北京市教育委员会科研计划项目(KM200800003005)
  • 【分类号】TD712.3
  • 【被引频次】13
  • 【下载频次】218
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