测井解释中煤层含气量评价方法对比研究  

Comparison study on evaluation methods of coalbed methane gas content with logging interpretation

作　　者：侯颉[1,2] 邹长春[2] 杨玉卿[3] 张国华[3] 王文文[3] 

机构地区：[1]中国地震局第一监测中心,天津300180 [2]中国地质大学(北京)地下信息探测技术与仪器教育部重点实验室,北京100083 [3]中海油田服务股份有限公司,北京101149

出　　处：《煤炭科学技术》2015年第12期157-161,156,共6页Coal Science and Technology

基　　金：国家自然科学基金资助项目(41274185);中央高校基本科研业务费专项资金资助项目(53200959694)

摘　　要：为准确评价预测煤层气资源量。以沁水盆地南部地区勘探目标层3号、15号煤层的地质、测井以及煤岩测试资料为基础,应用回归分析、兰氏煤阶方程、开姆法和BP神经网络方法计算含气量,并对各方法计算结果进行对比研究。研究表明:3号、15号煤层含气量分别为7~20 cm^3/g和10~30cm^3/g,密度回归法以及兰氏煤阶方程适用于沁水盆地南部地区煤层含气量的计算,而BP神经网络法和开姆法由于缺少实测含气量数据而误差较大,不适宜该区煤层含气量计算。总体上,利用测井方法对沁水盆地南部地区煤层气储层含气量评价方面应用效果良好。In order to provide the basis to accurately estimate the coalbed methane resources volume for the evaluation, based on the geolog- ical and logging as well as the coal-rock test information of the No. 3 seam and No. 15 seam as the exploration target seams in the south area of Qinshui Basin, a regression analysis, Langmuir Rank Equation, KIM method and BP neural network method were applied to predict and calculate the gas content of he coal seams and a study was conducted on the calculation results of each method. The study results showed that the eoalbed methane content of the No. 3 and No. 15 seams was 7-20 cm^3/g and 10- 30 cm^3/g individually. Among the different methods, the density regression method and Langmuir Rank Equation were suitable to calculate the coal bed methane content of the study region. The BP neural network and KIM Method would have a high error due to lacking of the measured gas contents. Generally the logging interpretation method would have a good application effect to evaluate the coal bed methane content in the south block of Qingshui Basin.

关 键 词：煤层含气量 测井解释 兰氏煤阶方程 BP神经网络 

分 类 号：TE155[石油与天然气工程—油气勘探]