1.School of Earth and Environment,Anhui University of Science and Technology,Huainan ,China;2.State Key Laboratory for

Geomechanics & Deep Underground Engineering,China University of Mining and Technology,Xuzhou ,China

为实现煤层气甜点区的精准预测,以提高储层开采效率,依据煤层气甜点区的界定条件,充分发挥地震反演参数物理意义明确和在显示维度上的优势,确定以煤层气储层的吨煤含气量、煤厚、埋深、构造应力、裂缝发育密度以及煤体结构类型分布这6类地震反演参数作为煤层气甜点区的预测指标。采用改进的熵权法计算预测指标的权重值,以沿层切片的方式显示目标储层的甜点区预测结果,并对比分析产气井位置的预测值与日均产气量。研究结果表明:X2井的预测值出现错误,其余井的预测值与日均产气量吻合较好,正确率达85%;基于上述6类地震反演参数,利用改进的熵权法进行煤层气甜点区预测具有可行性。

Accurate prediction of CBM sweet spot would improve the reservoir exploration efficiency.In this paper,based on the definition condition for CBM sweet-spot and took advantage of seismic inversion parameters in physical significance and 3D display,we decided to take the gas content,coal-bed thickness,reservoir depth,tectonic stress,fracture density and coal structure types distribution as the predictors for CBM sweet-spot prediction.By using modified entropy method to calculate the weight of predictors,the prediction result of CBM sweet-spot for target reservoir would be exhibited in layer slice style.The comparative analysis between the prediction values and the daily gas production in whole well position shown that the two values were in good agreement except X2 well with an accuracy rate of 85%.Accordingly,the research result exhibited that the method proposed by modified entropy method based on the six types seismic inversion parameters mentioned above was feasible in CBM sweet spot prediction.

国家自然科学基金资助项目(41402140)；安徽高校自然科学研究资助项目(KJ2016SD17,KJ2018A0071)；安徽理工大学青年教师科学研究基金重点资助项目(QN2017202)；