石油物探2025，Vol.64Issue(3)：494-501,8.DOI:10.12431/issn.1000-1441.2025.0043
基于梯度约束的全方位逆时偏移成像技术研究及应用
Research and application of gradient-constrained full-azimuth reverse time migration technique
摘要
Abstract
With the large-scale application of"wide azimuth,wide frequency band,and high density"acquisition technology,seismic data now contain increasingly rich subsurface media information,making it difficult for conventional imaging algorithms to meet the requirements of high-precision imaging from wide-azimuth seismic data.To address this challenge,this study proposes a gradient-constrained full-azimuth reverse time migration(RTM)imaging technique that enables efficient utilization of subsurface effective information and precise imaging of complex structures.First,the technique constructs constraint equations by incorporating spatial and temporal gradients of the wavefield,solving for the wavefield propagation vector through iterative minimization of an energy objective functional.This effectively addresses the issues of local computational instability and inaccuracy inherent in conventional wavefront vector methods.Subsequently,it accurately extracts subsurface azimuth and reflection angle information using local propagation angle geometry.Finally,imaging values are normalized based on these angle parameters to achieve mapping of full-azimuth angle gathers.Theoretical model tests and real data applications show that the proposed technique can fully utilize the propagation angle information of the wavefield to produce high-precision imaging profiles and high-quality full-azimuth angle gathers,thereby providing strong support for tasks such as migration velocity analysis and reservoir description.关键词
波场梯度/逆时偏移/角度域成像条件/局部成像矩阵/全方位角度道集Key words
wavefield gradient/reverse time migration/angle domain imaging condition/local imaging matrix/full-azimuth angle gather分类
石油、天然气工程引用本文复制引用
肖建恩,秦宁..基于梯度约束的全方位逆时偏移成像技术研究及应用[J].石油物探,2025,64(3):494-501,8.基金项目
山东省泰山产业创新领军人才专项资助项目(tscx202312059)、中石化科技攻关课题"胜利东部凹陷级地震深度域处理解释关键技术研究"(P23050)与"基于国产软硬件平台的成像技术系列移植与优化"(P24144)共同资助.This research is financially supported by the Mount Taishan Industrial Innovation Leading Talents Project in Shandong Province(Grant No.tscx202312059)and the Sinopec Technology Research Project(Grant Nos.P23050,P24144). （tscx202312059）
