During the exploration and development of coalbed methane,it is necessary to accurately predict the distribution trend of gas content in coal seam and to further provide advices for exploration and development,which will undoubtedly avoid blind investment,thus saving a lot of manpower,material resources and financial resources.This study is to collect,collate and analyze the conventional well logging data obtained from the combed methane parameter wells.By means of the regression analysis method,the author analyzed the logging parameters and combed methane contents,compared their correlations,removed the logging parameters with small correlation,and then found the parameters having the largest correlation with the gas contents in the coal seam,in order to establish the relationship between combed methane contents and logging parameters.Through testing the regression formula obtained,author found the regression method was accurate and reliable.The coalbed methane content of the main coal seam could be utilized to guide the production.This method could be used for predicting the content of coalbed methane,and for further improving application of the well logging data,which would significantly improve economic benefits and social benefits of the well logging work.%对煤层含气量分布趋势做出预测并给出先期勘探开发建议,无疑可在煤层气勘探开发过程中,避免盲目投资而节省大量的人力、物力和财力,通过收集、整理、分析勘探区煤层气参数井已经取得的常规测井资料,并将各测井参数与测试煤层含气量通过回归分析方法,对其相关性进行比较,忽略相关性小的测井参数,找到与煤层含气量相关性最大的参数,分析两者关系,得到相应回归公式并进行检验.研究结果表明:该回归方法准确、可靠、便利,实用性较强,经回归公式计算出整个勘探区主要煤层的煤层含气量并做出含气量分布趋势图从而指导煤层气勘探与开发,可多一种预测煤层含气量的手段,进一步拓宽测井资料的应用领域,提高测井工作的经济效益和社会效益.
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