摘要
Abstract
As an advanced seismic imaging method,reverse time migration(RTM)generates high-resolu-tion subsurface structure images by simulating the reverse propagation of seismic waves in subsurface media.It is particularly suitable for imaging in complex geological environments.By summarizing the current devel-opment status of reverse time migration technology,this paper analyzes the technical challenges it faces and explores future research directions,including 3D medium imaging technology,amplitude-preserving ima-ging methods,low-frequency noise suppression technology,elastic wave medium adaptability,anisotropic parameter processing,multiple wave imaging technology,imaging processing in undulating surface environ-ments,and the application of GPU and artificial intelligence in reverse time migration(RTM).Among these,artificial intelligence technology is regarded as playing an important role in automating imaging work-flows,optimizing imaging parameters,improving computational efficiency,and reducing noise interference.Through the application of machine learning and deep learning algorithms,it is expected to significantly im-prove the imaging quality and efficiency of reverse time migration,thereby advancing the further develop-ment of seismic imaging technology.The research results provide support for the in-depth exploration and application of RTM technology,and possess important scientific significance and application value.关键词
逆时偏移/三维介质/保幅成像/低频噪音/人工智能Key words
reverse time migration(RTM)/3D medium/amplitude-preserving imaging/low-frequency noise/artificial intelligence分类
天文与地球科学
