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    OBN弹性波速度建模与叠前深度偏移

    OBN elastic wave velocity modeling and prestack depth migration

    • 摘要: 弹性波Kirchhoff叠前深度偏移是实现海底复杂构造精细成像的有效方法,其成像质量主要取决于速度模型的准确度。当前,多波深度域速度建模主要依赖层析反演和全波形反演,但常规层析反演应用于多波地震数据成像存在多解性强、收敛速度慢的局限性,而弹性全波形反演应用于实际数据成像仍处于探索阶段,存在技术瓶颈。针对上述问题,提出了一种将层匹配技术和剩余曲率网格层析反演相结合的多波深度域速度建模与偏移成像方法。数值模拟测试和实际多分量海底节点地震数据应用均表明,使用该方法建立的深度域初始速度模型精度较高,可以有效提升速度模型迭代更新效率;同时,应用该方法得到的多波共成像点道集被有效拉平,多波成像剖面深度一致性较高。

       

      Abstract: Elastic wave Kirchhoff prestack depth migration is an effective approach for high-resolution imaging of complex submarine structures, with its imaging quality primarily dependent on the accuracy of the velocity model. Currently, multi-wave depth domain velocity modeling mainly relies on tomographic inversion and full waveform inversion. However, conventional tomographic inversion applied to multi-wave seismic data imaging suffers from strong non-uniqueness and slow convergence, while the application of elastic full waveform inversion to real data imaging remains exploratory and faces technical bottlenecks. To address these issues, a multi-wave depth domain velocity modeling and migration imaging method integrating layer-matching velocity modeling technology and residual curvature-based grid tomographic inversion is proposed. Both numerical model test and application to actual multi-component Ocean Bottom Node(OBN) seismic data demonstrate that this method produces highly accurate initial depth domain velocity models and significantly enhances the efficiency of velocity model iteration. Furthermore, the multi-wave common image gathers obtained using this method exhibit effective flattened, and the multi-wave imaging profiles show high depth consistency.

       

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