石油物探2017，Vol.56Issue(2)：159-170,12.DOI:10.3969/j.issn.1000-1441.2017.02.001
最小二乘叠前深度偏移成像理论与方法
Theory and method of least square prestack depth migration and imaging
摘要
Abstract
The purpose of seismic imaging is firstly to determine the spatial location of the reflectivity or diffraction targets.After the structure of the reflection is settled,the rock parameters,related to velocity and density,can be estimated.Combined with the estimated elastic parameters and rock physics,the oil and gas reservoir can be delineated.We start from the seismic wave propagation representation of the scattered wave field and inverse scattering imaging.the formula of the scattered wave field is firstly given.The essence of the inverse scattering imaging is discussed,including the prestack seismic observed data and the corresponding observation mode required by inverse scattering imaging.Then,the theoretical framework of general linearized least-squares prestack depth migration (LS-PSDM) is given.The linearized LS-PSDM can be realized as bng as the wave propagation operator calculated by Green functions can be reached.The least-squares reverse time migration (LS-RTM) is also discussed and the iterative realization method and the structure preserved total variation regularization method are given with numerical results.Finally,the differences between imaging methods based on reflectivity and scattering intensity estimation are analyzed.The most practical imaging methods aiming at the characteristics of medium and wave fields are stated.The inverse scattering imaging should be based on the methods.Further studies are required to testify whether the imaging methods based on scattered wave can satisfy the requirement of reservoir description.关键词
散射场表达/逆散射成像/反射波成像/最小二乘叠前深度偏移/全波形反演Key words
scattered wave field representation/inverse scattering imaging/reflected wave imaging/least-squares prestack depth migration (LS_PSDM)/full waveform inversion(FWI)分类
天文与地球科学引用本文复制引用
王华忠,胡江涛,郭颂..最小二乘叠前深度偏移成像理论与方法[J].石油物探,2017,56(2):159-170,12.基金项目
国家重点基础研究发展计划(973计划)(2011CB201002)、国家自然科学基金项目(41374117,41604100)和国家科技重大专项(2011ZX05005-005-008HZ,2011ZX05006-002,2011ZX05023)共同资助.This research is financially supported by the National Key Basic Research and Development Program of China (973 Program) (Grant No.2011CB201002),the National Natural Science Foundation of China (Grant Nos.41374117,41604100),the National Science and Technology Major Project (Grant Nos.2011ZX05005-005-008HZ,2011ZX05006-002,2011ZX05023). （973计划）
