论文详情
纵、横波速度是储层特征评价、流体识别的重要参数。针对勘探生产中缺乏速度测井资料的情况,研究并提出了基于岩石物理模型的速度反演预测方法。首先介绍了前人给出的速度-孔隙度关系式和基于岩石物理模型的速度估算过程;然后以岩石孔隙参数为基础,建立测井数据与岩石弹性参数之间的岩石物理关系;最后重构反演目标函数,通过模拟退火反演获得可靠的纵、横波速度。实验室数据和实际测井资料的计算结果表明,该方法能够在不使用速度测井信息作为先验约束的情况下得到可信度较高的速度预测结果。
P-wave velocity and S-wave velocity are two important parameters in reservoirs evaluation and fluid identification.Well log is an efficient approach to obtain these parameters.Velocity inversion based on rock physics model is proposed for the case of a lack of velocity logging data in exploration.Firstly,we introduce the relationship between velocity and porosity and velocity estimation process based on rock physics model,and then establish the rock physics relationship between logging data and rock elastic parameters on the basis of rock pore parameters.Finally,we reconstruct objective function and obtain reliable P-wave and S-wave vecolities by simulated annealing inversion.The results based on experimental data and actual logging data show P-wave and S-wave predictions based on rock physics model are reliable without velocity logging data as priori constraints,which offers an efficient method for accurate reservoir evaluation.
国家重点基础研究发展计划(973)项目(2013CB228604)和国家科技重大专项项目(2011ZX05030-004-002,2011ZX05019-003)共同资助。