运动介质地震波场模拟及逆时偏移成像方法研究
Research on forward modeling of seismic waves in moving medium and reverse time migration imaging methods
摘要
Abstract
In marine seismic exploration,conventional seismic wavefield simulation methods typically treat seawater as a static homogeneous medium,employing fixed velocity models for forward modeling and reverse time migration(RTM).This approach neglects the actual flow characteristics of the ocean,leading to distortions in seismic wavefield propagation simulations.Particularly during reverse time migration,errors in the wavefield's back-propagation path accumulate progressively,ultimately compromising the accuracy and reliability of seafloor structure imaging.To address this issue,this study investigates the seismic wave propagation mechanism in moving medium based on hydrodynamic theory.It derives an acoustic wave equation tailored to dynamic seawater environments and establishes a more physically realistic wavefield simulation method.Numerical simulations demonstrate that seawater flow significantly alters seismic wave propagation characteristics:wave velocity increases in the downstream direction and decreases upstream—an asymmetric propagation effect unaccounted for in traditional static models.The proposed dynamic simulation method effectively captures the modulation of wavefields by seawater motion,enabling accurate reconstruction of true seafloor structures through precise RTM.This approach markedly improves seismic imaging accuracy in complex marine.关键词
海洋地震/运动介质/正演模拟/逆时偏移Key words
marine seismic/moving medium/forward modeling/reverse time migration分类
能源科技引用本文复制引用
刘坤达,王锐,陈亮,黄建平..运动介质地震波场模拟及逆时偏移成像方法研究[J].石油物探,2026,65(2):260-272,13.基金项目
国家自然科学基金面上项目(42374164)、盆地西部小尺度及高陡构造高精度成像研究项目(2024D2ZZ01)、Q最小二乘偏移方法研究项目(671024115010)、基于正则化的图像反褶积技术研究项目(202418018212)、基于VIT网络的掩码自编码器构建方法研究项目(30200020-24-ZC0613-0044)和山东省泰山学者特聘专家项目共同资助. This study is financially supported by the National Natural Science Foundation of China(Grant No.42374164),the High Precision Imaging Study of Small-scale and High-angle Structures in the Western Ordos Basin(Grant No.2024D2ZZ01),the Imaging Study of Q Least Squares Migration(Grant No.671024115010),the Research on Image Deconvolution Technology Based on Regularization(Grant No.202418018212),the Research on the Masked Autoencoder Method Based on VIT Network(Grant No.30200020-24-ZC0613-0044)and the Taishan Scholars Research Program of Shandong Province. （42374164）
