MCSEM和地震AVA数据联合反演储层物性  

Reservoir petrophysical parameter estimation with joint inversion of MCSEM and seismic AVA data

作　　者：彭国民 徐凯军[1,2] 杜润林 刘展 

机构地区：[1]中国石油大学(华东)地球科学与技术学院,山东青岛266580 [2]海洋国家实验室海洋矿产资源评价与探测技术功能实验室,山东青岛266071 [3]青岛海洋地质研究所,山东青岛266071

出　　处：《石油地球物理勘探》2018年第5期1110-1116,共7页Oil Geophysical Prospecting

基　　金：国家高技术研究发展计划("863"计划)项目(2012AA09A201);国家青年自然科学基金项目(41304094)联合资助

摘　　要：海洋可控源电磁(MCSEM)数据对高阻的含油气储层比较敏感,联合反演MCSEM和地震数据可提高储层物性参数估计的可靠性。本文提出一种利用MCSEM和地震AVA数据联合反演储层物性参数的方法,该方法利用Archie公式和Gassmann方程建立储层物性参数与电磁属性(电导率)和地震属性(速度、密度)之间的联系,采用模拟退火(SA)算法求解联合反演目标函数。模型试验表明,与单一数据反演结果相比,联合反演MCSEM数据和地震AVA数据能够得到更可靠的储层物性参数估计,且与基于梯度下降的Occam反演方法相比,该方法不依赖于初始值。Seismic survey is the major approach to oil and gas exploration and development,but the ambiguity exists during estimating reservoir petrophysical parameters such as hydrocarbon saturation only with seismic data.Marine controlled-source electromagnetic(MCSEM)data is sensitive to resistive hydrocarbon reservoirs and thus aids seismic survey to increase the well drilling success rate.Therefore,the joint inversion of MCSEM and seismic data contributes to more reliable estimation of reservoir petrophysical parameters.This paper proposes an approach to estimate petrophysical parameters with MCSEM and seismic amplitude variation with angle of incidence(AVA)data.The approach utilizes Archies equation and Gassmanns equations to relate reservoir petrophysical parameters to the conductivity and seismic wave velocities as well as density,and adopts simulated annealing(SA)optimization algorithm to minimize the joint inversion objective function.Numerical experiments show that the joint inversion could estimate more reliable reservoir petrophysical parameters compared with only MCSEM or seismic AVA data inversion.Compared to the Occam method based on descent gradient,this inversion is independent from an initial guess.

关 键 词：联合反演 MCSEM 地震AVA 储层物性参数 模拟退火 

分 类 号：P631[天文地球—地质矿产勘探]