石油物探2018，Vol.57Issue(2)：262-273,12.DOI:10.3969/j.issn.1000-1441.2018.02.012
高斯束偏移与高斯束层析反演速度建模
Gaussian beam operator-based migration and tomography
摘要
Abstract
Conventional ray-based travel time tomography for velocity modeling,regarding ray length as the sensitivity kernel,has limitations,low spatial resolution and low adaptability in complex heterogeneous media because of caustics.Starting from the Gaussian beam migration (GBM) imaging condition,a new travel time tomography sensitivity kernel is presented based upon the first order Born and Rytov approximation.This kemel is a finite-frequency kernel function;it can be obtained by the Green function,integrated by Gaussian beams.Using this new kernel could improve the accuracy of tomography inversions.The joint iteration process of Gaussian beam operator-based migration,a common-image gather extracted in the azimuth-reflection angle domain,and tomography for velocity modeling may improve image quality,especially for low SNR seismic data.Synthetic and field data tests verified the effectiveness and applicability of the proposed technique.关键词
高斯束/成像域/走时层析/敏感度核函数/偏移/角度道集Key words
Gaussian beam/image domain/traveltime tomography/sensitivity kernel/migration/angle gathers分类
天文与地球科学引用本文复制引用
蔡杰雄..高斯束偏移与高斯束层析反演速度建模[J].石油物探,2018,57(2):262-273,12.基金项目
国家科技重大专项(2016ZX05014-001-002)资助.This research is financially supported by the National Science and Technology Major Project (Grant No.2016ZX05014-001-002). （2016ZX05014-001-002）
