【作者】 吴海波； 张平松； 董守华； 徐宏杰；

【Author】 Wu Haibo;Zhang Pingsong;Dong Shouhua;Xu Hongjie;School of Earth and Environment,Anhui University of Science and Technology;School of Resources and Geosciences,China University of Mining and Technology;

【机构】 安徽理工大学地球与环境学院； 中国矿业大学资源与地球科学学院；

【摘要】 脆性指数(BI)作为指导煤层气储层压裂的基础参数,多基于岩石物理测试和测井数据进行计算与分析,导致研究成果仅适用于取样点及其附近。为此,本文寻求通过拉梅常数将煤层气储层脆性指数计算与叠前地震数据的AVO反演直接挂钩,实现煤层气储层脆性指数的直接反演。并在反演过程中,充分发挥测井数据在反演初始建模和精度验证环节的作用。通过井位置目标储层的反演结果的分析表明该方法的精度较高,能有效应用于煤层气储层脆性指数的反演计算,为储层脆性"甜点区"的识别提供保障。更多还原

【Abstract】 Brittleness index(BI) serves as a major parameter-basis for coal-bed methane reservoir fracturing.Most studies rely on petrophysical and well logging data,which greatly constricts the application of research results in sampling locations and nearby.Therefore,combining BI calculation with seismic inversion can be a good choice.The BI for the CBM reservoir was calculated from the Lame constant,which was directly inverted from pre-stack seismic data by the amplitude-versus-offset(AVO) technique.Well logging data was used to verify inversion accuracy and was indispensable in building initial inversion parameter models.Subsequently,the comparison analysis of the BI inversion results and the BI extraction from well logging data at the target reservoir location showed a satisfactory consistency at wells location at the target reservoir.Therefore,this method could be used to efficiently calculate BI and would be helpful in identifying the BI sweet spot in the CBM reservoir.更多还原