基于地震资料优选煤层气有利区块技术研究

Research on Technology of Selecting CBM Favorable Area Based on Seismic Data

为了减少煤炭开采中的瓦斯灾害,提高煤层气抽采效率。利用新元矿中部采区三维地震数据,以波阻抗反演和地质统计学反演得到煤层厚度、煤层孔隙度和顶板发育情况;以地震多属性分析技术和神经网络运算方法研究煤层裂隙发育分布情况;以AVO特征识别技术研究煤层含气性。综合煤层厚度、煤层裂缝发育条件、煤层顶板发育条件、煤层孔隙度和AVO含气性识别结果,从"生、储、保"和含气性四方面出发,利用多图叠合法,得了煤层气开采有利区分布情况。煤层气开采有利区块的确定为开采钻井部署优化提供了重要参考依据。

In order to reduce the gas disaster in coal mining and improve the extraction efficiency of CBM, the paper usesthe seismic data of the central mining area in Xinyuan mine to obtain the thickness of coal seam, the porosity of coal seam and the development condition of coal roof by impedance inversion andgeostatistical inversion. The distribution of fractures in coal seam is studied by seismic multi-attribute analysis and neural network arithmetic. The gas-bearing property of coal seam is studied with AVO identification technology. Based on the identification results of coal seam thickness, coal seam fracture development condition, coal roof condition, coal seam porosity and AVO gas bearing property, the distribution of favorable areas for CBM developmentcould be obtained from the four aspects of production, storage, protection and gas bearing property by using the multi-figure superposition method. The determination of favorable areas for CBM development provides an important reference for optimization of drilling deployment.