Reverse Time Migration of Crosswell GPR Data Based on Wavefield Decomposition

Linlin Lei, Chongmei Zhong, Li Zhang, Qingming Zhao, Huan Yan, L. Fu, Sixin Liu
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引用次数: 1

Abstract

Reverse-time migration (RTM) has been widely used for imaging subsurface structure in seismic surveys for hydrocarbon resource explorations. It has been adopted for migrating ground penetrating radar (GPR) data due to the kinematics and dynamics similarity between electromagnetic and seismic waves. Low-frequency migration artifacts happen when the conventional image condition is used, especially when the migration model is not smooth. In this abstract, we decompose the wavefield into left-and right-going wavefield based on the Hilbert transform, and then apply the image condition to generate migration image in which the low-frequency noise are largely eliminated. Synthetic results suggest more clear image can be obtained using the isolated wavefiled to construct RTM image.
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基于波场分解的井间探地雷达数据逆时偏移
逆时偏移(RTM)在油气资源勘探地震勘探中被广泛应用于地下构造成像。由于电磁波和地震波在运动学和动力学上的相似性,它已被用于迁移探地雷达(GPR)数据。在常规图像条件下,尤其是在迁移模型不平滑的情况下,会产生低频迁移伪影。本文基于Hilbert变换将波场分解为左向波场和右向波场,然后应用图像条件生成偏移图像,使低频噪声得到很大程度的消除。综合结果表明,利用分离波场构建RTM图像可以获得更清晰的图像。
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