摘要
实际测井数据中缺少的横波速度信息对于储层表征、流体识别具有重要意义。本文给出一种新的横波速度预测方法:通过对Pride模型引入临界孔隙度导出临界孔隙度Pride模型,再结合Gassmann理论建立饱和岩石的纵横波速度计算模型。将该模型应用于室内实验室测量和实际测井资料的横波预测,结果表明本文提出的基于临界孔隙度Pride模型的横波速度预测方法是有效的。
S-wave velocity,which is not sufficient in realistic well logging data,plays an important role in reservoir characterization and fluid identification.In this paper,a new S-wave velocity prediction method is presented.Through introducing critical porosity into Pride model and combining Gassmann theory,P-wave velocity and S-wave velocity model of fluid saturated rock is established.The model is applied to S-wave velocity prediction of measured data in lab and realistic well logging data.The predicted results demonstrate that S-wave velocity prediction method based on critical porosity Pride model proposed in this paper is effective.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2012年第2期277-281,183,共5页
Oil Geophysical Prospecting
基金
国家自然科学基金项目(41074098)
国家重点基础研究发展计划(973计划)项目(2007CB209606)联合资助
关键词
横波速度预测
Pride模型
临界孔隙度
储层描述
岩石物理
固结参数
S-wave velocity prediction,Pride model,critical porosity,reservoir characterization,rock physics,consolidation parameter