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求取岩石基质体积模量的线形拟合方法(英文)
引用本文:贺锡雷,贺振华,汪瑞良,王绪本,蒋炼. 求取岩石基质体积模量的线形拟合方法(英文)[J]. 应用地球物理, 2011, 8(3): 155-162. DOI: 10.1007/s11770-011-0290-4
作者姓名:贺锡雷  贺振华  汪瑞良  王绪本  蒋炼
作者单位:油气藏地质及开发工程国家重点实验室成都理工大学;中海石油(中国)有限公司深圳分公司
基金项目:supported by the National Nature Science Foundation of China (Grant Noss 40739907 and 40774064);National Science and Technology Major Project (Grant No. 2008ZX05025-003)
摘    要:岩石基质的体积模量或其倒数--压缩系数,在进行油气预测的流体替换和孔隙度反演时,是重要的输入参数,但是利用现有方法很难准确求得。文中提出了一种求取该参数的线形拟合方法,该方法通过对Gassmann方程的合理简化并引入Eshelby-Walsh干燥岩石椭球包体近似公式,获得了计算岩石基质压缩系数的拟合公式,可方便地利用公式计算该参数。实际碳酸盐岩岩样的岩石物理测试分析显示:利用饱和岩样和干燥岩样测得的基质压缩系数的差异小于1%,说明所求参数是正确的,可靠的。

关 键 词:体积模量  岩石基质  流体替换  岩石物理  线形拟合

Calculations of rock matrix modulus based on a linear regression relation
Xi-Lei He,Zhen-Hua He,Rui-Liang Wang,Xu-Ben Wang,Lian Jiang. Calculations of rock matrix modulus based on a linear regression relation[J]. Applied Geophysics, 2011, 8(3): 155-162. DOI: 10.1007/s11770-011-0290-4
Authors:Xi-Lei He  Zhen-Hua He  Rui-Liang Wang  Xu-Ben Wang  Lian Jiang
Affiliation:1. State key laboratory of oil and gas reservoir geology and exploitation, Chengdu University of Technology, Chengdu, 610059, China
2. CNOOC Shenzhen Inc., Shenzhen, 518067, China
Abstract:The rock matrix bulk modulus or its inverse, the compressive coefficient, is an important input parameter for fluid substitution by the Biot-Gassmann equation in reservoir prediction. However, it is not easy to accurately estimate the bulk modulus by using conventional methods. In this paper, we present a new linear regression equation for calculating the parameter. In order to get this equation, we first derive a simplified Gassmann equation by using a reasonable assumption in which the compressive coefficient of the saturated pore fluid is much greater than the rock matrix, and, second, we use the Eshelby-Walsh relation to replace the equivalent modulus of a dry rock in the Gassmann equation. Results from the rock physics analysis of rock sample from a carbonate area show that rock matrix compressive coefficients calculated with water-saturated and dry rock samples using the linear regression method are very close (their error is less than 1%). This means the new method is accurate and reliable.
Keywords:Bulk modulus  rock matrix  fluid substitution  rock physics  linear regression
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