煤层气地球物理预测方法

发布时间：2018-05-18 21:47

本文选题：煤层气 + 岩石物理　；参考：《天然气地球科学》2017年02期

【摘要】：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。
[Abstract]:With the rapid development of economy and the continuous growth of the demand for clean energy, the contradiction of insufficient energy supply in China has become increasingly prominent. China's coalbed methane (CBM) resources are widely distributed. It is a strategic need for national energy security to accelerate the exploration and development of CBM. Because the biggest difference between CBM and conventional natural gas is that the adsorptive state occurs on the inner surface of coal seam pore, it has unique characteristics of reservoir formation and distribution and main controlling factors, so compared with conventional natural gas exploration, A higher requirement is put forward for the prediction method of coalbed methane reservoir, and the basic research of rock physics of coalbed methane is the starting point and foothold of the prediction method. Considering the diversity of sedimentary coal seams in China, by selecting rock samples of different coal rank, coal rock and coal quality, testing the parameters of rock samples in laboratory and analyzing the actual drilling data, it is determined that the modulus attribute is more sensitive to the detection of gas content of coal per ton. At the same time, the sensitivity of density to gas content of ton coal is better than that of longitudinal wave velocity in the two attributes of density and P-wave velocity. Based on this, the three-parameter elastic modulus of seismic coalbed methane (relative variation of Lamy constant and shear modulus) is established. Density relative variation) inversion method. Through the example of three-parameter elastic modulus inversion of the coalbed methane data in Shunan, Sichuan Province, it is proved that the abnormal relative modulus variation can effectively predict the prediction effect of five wells in the coalbed methane reservoir enrichment and high yield area and coincide with the coalbed methane production wells. The success rate of coalbed methane exploration and deployment well has been improved, which has provided strong support for the exploration and development of coalbed methane in Shunan and the construction of 100 million cubic meters of production capacity.
【作者单位】：中国石油勘探开发研究院廊坊分院;中国石油华北油田第四采油厂;
【基金】：中国石油集团公司物探重点实验室新技术新方法项目(编号:2014A-3612)资助
【分类号】：P618.13

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