石油物探2017，Vol.56Issue(2)：179-184,6.DOI:10.3969/j.issn.1000-1441.2017.02.003
基于孔隙分类理论的自相容模型横波速度预测方法
Shear wave velocity estimation method by the porosity classification based on the self-consistent model
摘要
Abstract
The rock physics modeling is an important means for obtaining the shear wave velocity data in exploration and development.We have developed a shear wave velocity estimation method based on the self-consistent approximations (SCA) model.Firstly,based on the theory of porosity classification we calculate the inactive porosity with bound water in clastic rocks and get it as the rock matrix components.Then we make use of effective porosity as the rock frame and conduct the fluid saturated calculation.Finally,we take the measured P-wave velocity as the constraint and calculate the shear wave velocity by adjusting the size of the components in the rock matrix iteratively.The method has higher precision for shear wave velocity estimation in clastic rocks in Sichuan Basin and is worth to promote.关键词
孔隙分类/等效自相容近似模型/横波速度预测/岩石物理建模/平均相对误差Key words
porosity classification/self-consistent approximations (SCA) model/shear-wave velocity estimation/rock physics modeling/the average relative error分类
天文与地球科学引用本文复制引用
熊晓军,李翔,刘阳,简世凯..基于孔隙分类理论的自相容模型横波速度预测方法[J].石油物探,2017,56(2):179-184,6.基金项目
国家自然科学基金项目(41274130)资助.This research is financially supported by the National Natural Science Foundation of China (Grant No.41274130). （41274130）
