Examples of pre-stack reverse-time migration applied to ground penetrate radar synthetic data

Linlin Lei, Sixin Liu, L. Fu, Xu Meng, Junjun Wu
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Abstract

Reverse-time migration (RTM) is used to handle complex velocity models including steeply dipping interfaces and dramatic variations in transverse velocity, which promises better imaging results compared with traditional migration methods such as Kirchhoff migration algorithm. RTM has been increasingly used in oil and gas seismic exploration. Based on the similarity of kinematics and dynamics between electromagnetic wave and elastic wave, we apply pre-stack RTM method to process Ground Penetrating Radar (GPR) data in this paper. Finite-difference time domain (FDTD) numerical method is used to simulate the electromagnetic wave propagation including forward and backward extrapolation, the cross-correlation imaging condition is used to obtain the final image. Evaluation is in the context of a complex geological structure model; the Gaussian random roughness surface is introduced to represent the underground layer interface; common offset radar data and multi-shot wide-angle reflection and refraction (WARR) radar data are synthesized. The migration results from electromagnetic wave pre-stack RTM show excellent coincidence with the true model.
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叠前逆时偏移在探地雷达合成数据中的应用实例
逆时偏移(RTM)用于处理复杂的速度模型,包括陡倾界面和横向速度的剧烈变化,与传统的偏移方法(如Kirchhoff偏移算法)相比,具有更好的成像效果。RTM在油气地震勘探中的应用越来越广泛。基于电磁波与弹性波在运动学和动力学上的相似性,本文采用叠前RTM方法对探地雷达数据进行处理。采用时域有限差分(FDTD)数值方法模拟电磁波的传播过程,包括正向外推和反向外推,利用相互关联成像条件获得最终图像。评价是在复杂地质构造模型的背景下进行的;引入高斯随机粗糙度面来表示地下层界面;综合了常用偏置雷达数据和多镜头广角反射和折射雷达数据。电磁波叠前RTM偏移结果与真实模型吻合良好。
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