School of Geosciences and Surveying Engineering, China University of Mining and Technology (Beiing)

为了在缺乏取心实测资料的情况下更准确地预测煤储层含气量,利用常规测井曲线,分析了灰岩的厚度、泥质含量、有效孔隙度、含水量、埋深以及灰岩与煤层的接触关系对煤储层含气量的影响特征和影响机理,建立了基于灰岩特征的煤储层含气量多元回归预测模型。研究结果表明:煤储层含气量同灰岩有效孔隙度和含水量呈负相关,同埋深和泥质含量呈正相关;有效孔隙度是煤储层含气量的主控因素,埋深、含水量和泥质含量次之;灰岩厚度与煤储层含气量没有明显关系;局部地区灰岩与煤层间接接触,接触关系不影响煤储层含气量;回归模型实例验证效果较好,但是在盆地边缘和断层发育部位,误差较大。

To predict the gas content of coal reservoirs more accurately under situation of lacking measured coring data in field, by adopting the conventional loggi ng curves, influencing features and mechanisms of limestone's thickness, the shale content, effective porosity, water content, buried depth and the contact relationship between limestone and coal seam on the gas content of coal reservoirs were analyzed, and multivariate regression model for gas content of coal reservoir was establis hed based on the characteristics of limestone. The results showed that the gas content of coal reservoir was found to be inversely associated with the effective porosity and water content, and positively correlated with buried depth and shale content; effective porosity was the main controlling factor of gas content of coal reservoir. Ther e was no obvious relationship between limestone's thickness and gas content of coal reservoir. Limestone and coal seam were indirect contacted in local area, the cont act relationship could not affect the gas content of coal reservoir; regression model was verified to be good, but on the edge of the basin and fault developing zone, the error was larger.

国家科技重大专项资助项目(2011ZX05042-003-001)；高等学校博士学科点专项科研基金资助项目(20110023130001)；