运动介质地震波场模拟及逆时偏移成像方法研究OA
Research on forward modeling of seismic waves in moving medium and reverse time migration imaging methods
传统海洋地震勘探方法通常将海水视为静态均匀介质,采用固定速度模型进行正演模拟与逆时偏移,该方法忽略了海洋实际流动特性,易导致地震波场传播模拟失真,在逆时偏移过程中波场反传路径的误差会进一步累积,最终影响海底构造的成像精度和可靠性.根据流体动力学理论,研究了运动介质中的地震波传播机制,推导了运动介质中的声波波动方程,建立起更符合实际海洋物理特征的地震波场模拟方法.数值模拟结果表明:海水的流动会改变地震波的传播路径,在顺流方向波速增大,在逆流方向波速减小.该运动介质地震波场模拟方法能够有效反映海水流动对波场的影响,并且通过在逆时偏移中引入运动介质速度补偿项,对波场反传路径进行动态校正,从而提高海底构造的成像精度与可靠性.
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.
刘坤达;王锐;陈亮;黄建平
中国石油大学(华东)地球科学与技术学院,山东 青岛 266580成都理工大学数学科学学院,四川 成都 610000中国地质调查局青岛海洋地质研究所,山东 青岛 266017中国石油大学(华东)地球科学与技术学院,山东 青岛 266580
能源科技
海洋地震运动介质正演模拟逆时偏移
marine seismicmoving mediumforward modelingreverse time migration
《石油物探》 2026 (2)
260-272,13
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.
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