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随着经济的快速发展和对清洁能源需求的持续增长,中国能源供应不足的矛盾日益凸显。中国煤层气资源分布广泛,加速煤层气的勘探开发,是国家能源安全的战略需要。由于煤层气与常规天然气的最大差别是以吸附状态赋存于煤层孔隙内表面,具有独特的成藏分布特征和主控因素,因此相对于常规天然气勘探而言,对煤层气储层预测方法提出了更高要求,而煤层气的岩石物理基础研究更是寻找预测方法的着手点和立足点。考虑到中国沉积煤层的多样性,通过选择不同煤阶、煤岩和煤质的岩样,通过实验室岩样参数测试和实际钻井数据分析,确定了模量属性对吨煤含气量检测比较敏感,同时在密度和纵波速度2个属性中,密度对吨煤含气量敏感性优于纵波速度,据此建立了地震煤层气三参数弹性模量(拉梅常数相对变化量、剪切模量相对变化量、密度相对变化量)反演方法。通过四川省蜀南煤层气资料的三参数弹性模量反演实例,证明了模量相对变化量异常可以有效预测煤层气储层富集高产区域,5口井的预测效果和煤层气生产井相吻合,提高了煤层气勘探开发部署井的成功率,为蜀南煤层气的勘探开发和一亿立方米产能建设提供了有力支持。
With the rapid economic development and the continuous growth of the demand for clean energy, the contradiction between the lack of energy supply in China has become increasingly prominent. The wide distribution of CBM resources in China and the accelerated CBM exploration and development are the strategic needs of the country’s energy security. Because the biggest difference between CBM and conventional natural gas is that the adsorbed state exists on the inner surface of coalbed pores, and has unique characteristics of hydrocarbon accumulation and distribution as well as the main controlling factors, the CBM reservoir prediction method is proposed relative to conventional gas exploration Higher requirements, and the basic petrophysical research of CBM is the starting point and foothold to find the prediction method. Taking into account the diversity of sedimentary coal seams in China, it is determined that the modulus attributes are sensitive to the detection of gas content per tonne by selecting rock samples of different coal rank, coal rock and coal quality, testing laboratory rock parameters and analyzing actual drilling data In the meantime, the density is one of the two properties of P-wave velocity, the density is more sensitive to the gas content per ton of coal than the P-wave velocity. Therefore, the three-parameter elastic modulus (relative change of Lame’s constant, relative shear modulus Change, relative change in density) inversion method. Based on the three-parameter elastic modulus inversion example of the South Sichuan coalbed methane data, it is proved that the relative variation of the modulus can effectively predict the enrichment of high-yield coalbed methane reservoirs, the prediction of 5 wells and the production of coalbed methane Coincide with and improve the success rate of coalbed methane exploration and development deployment wells for the exploration and development of coalbed methane in South Sichuan and 100 million cubic meters of capacity to provide a strong support.