New Energy Research Center，China National Offshore Oil Corporation Research Institute，Beijing，China

为克服煤层气有利区评价参数缺失不全、主控参数权重难确定等问题，通过灰色关联方法优选煤层气有利区评价主控因素，借助判断矩阵量化评价权重，为煤层气有利区快速评价提供客观可靠的快速评价方法。充分利用参数井和生产井的钻井数据、压裂数据及生产数据等动静态参数对柿庄南区块主力煤储层特征进行精细评价，构建多层次模糊数学评价模型，预测了有利储层的分布，划分出三级开发地质单元。研究结果表明：区块煤储层以Ⅰ类和Ⅱ类储层为主，Ⅰ类储层主要集中在中部地区，沿NNE向呈条带状分布，Ⅲ类储层则分布于北部和南部地区，其他地区为Ⅱ类区。此外，通过生产动态进行结果验证，评价结果与产气效果具有很好的吻合性；划分出23个三级开发地质单元，认为C-I1、C-I2、C-I3和C-I4为煤层气提产有利区。

In order to overcome the problems such as lack of evaluation parameters of the favorable area of coalbed methane and difficulty in determining the weight of the main control parameters,the main control factors of the coalbed methane favorable area are evaluated by the grey correlation method,and the weights are quantitatively evaluated by the judgment matrix to provide objective analysis for the rapid evaluation of the favorable area of coalbed methane.On this basis,making full use of the dynamic and static parameters such as drilling data,fracturing data and production data of the parametric wells and production wells to finely evaluate the characteristics of the main coal seams in the south block of Shizhuang Area,and a multi-level mathematics evaluation model was constructed to predict the distribution of favorable reservoirs.The block was divided into three levels of development geological units.The results show that the block coal reservoirs are dominated by Class I and Class Ⅱ reservoirs.The Class Ⅰ reservoirs are mainly located in the central part,distributed along the NNE direction,and the Class Ⅲ reservoirs are distributed in the north and south.The remaining areas are Class Ⅱ reservoirs.In addition,according to the production dynamics,the results of the evaluation are in good agreement with the gas production; 23 third-level development geological units are divided,and C-I1,C-I2,C-I3 and C-I4 are considered as favorable areas for gas extraction yields.