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基于孔隙分类理论的自相容模型横波速度预测方法

石油物探

2017年 56卷第No. 2期

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Title

Shear wave velocity estimation method by the porosity classification based on the self-consistent model

单位

(油气藏地质及开发工程国家重点实验室,四川成都610059)

Organization

(State Key Lab of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu 610059,China)

摘要

岩石物理建模是求取横波速度的重要手段之一,针对勘探开发过程中缺少横波速度资料的情况,研发了一种基于等效自相容近似(SCA)模型的碎屑岩地区横波速度计算方法。首先基于孔隙分类理论计算碎屑岩中含束缚水的无效孔隙大小;然后将无效孔隙作为岩石基质成分进行建模;再利用有效孔隙建立岩石骨架并进行流体饱和计算;最后在实测纵波速度约束下,通过调整岩石基质各组分大小迭代计算横波速度。试验结果证明,该方法预测四川盆地碎屑岩地区横波速度的精度较高,有一定的推广意义。

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;

Keywords:

porosity classification,; self-consistent approximations (SCA) model,; shear-wave velocity estimation,; rock physics modeling,; the average relative error;

基金项目

DOI

10.3969/j.issn.1000-1441.2017.02.003