首先，通过煤层“三高三低”的测井响应特征，识别并划分3#煤层。然后，通

首先，通过煤层“三高三低”的测井响应特征，识别并划分3#煤层。然后，通过对研究区45口井的岩样实验资料与测井数据统计，对测井参数与含气量做相关性分析，选择相关性较好的参数，建立含气量与测井参数之间的多元回归模型，并通过检验样本进行模型误差分析，最后对研究区3#煤储层的含气量进行预测，并对含气量展布特征进行分析评价。

結果 (英文) 1:

First, through the seam "three high and low" logging response characteristics, identification and Division 3# seams. Then, through on research district 45 mouth wells of rock sample experiment information and measuring wells data statistics, on measuring wells parameter and containing gas do correlation analysis, select correlation better of parameter, established containing gas and measuring wells parameter Zhijian of multiple return model, and through test sample for model errors analysis, last on research District 3# coal storage layer of containing gas for forecast, and on containing gas exhibition cloth features for analysis evaluation.

結果 (英文) 2:

First, response characteristics through the bed, "three third year low" logging, identification and divided in 3 # seam. Then, through the rock samples of experimental data and log data 45 wells in the study area statistics, the gas content of the logging parameters and do correlation analysis, choose good correlation parameters established between the gas content and logging parameters multiple regression model, and the model error analysis by testing samples of the study area the last 3 # coal reservoirs containing gas to predict the gas content and distribution characteristics were analyzed and evaluated.

結果 (英文) 3:

First of all, through logging "three high and three low" response characteristics, identification and classification of 3 coal seam. Then, through the study area 45 wells core experimental data and logging data statistics, of logging parameters and gas content to do correlation analysis, correlate well with the parameters selection, to establish a multiple linear regression model containing gas and well logging parameters, and its error model is analyzed by the test samples, the study area 3 coal storage layer containing gas prediction, and the gas content distribution characteristics of analysis and evaluation.