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

机译:应用于地面穿透雷达合成数据的叠前逆时偏移示例

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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.
机译:逆时偏移(RTM)用于处理复杂的速度模型,包括陡峭的倾斜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,它有望提供更好的成像效果。 RTM已越来越多地用于油气地震勘探中。基于电磁波和弹性波在运动学和动力学上的相似性,本文采用叠前RTM方法处理探地雷达(GPR)数据。利用时域有限差分法(FDTD)模拟电磁波的传播,包括正向和反向外推,互相关成像条件获得最终图像。评价是在复杂的地质结构模型的背景下进行的;引入高斯随机粗糙度表面来表示地下层界面;合成了普通偏置雷达数据和多次发射的广角反射和折射(WARR)雷达数据。电磁波叠前RTM的迁移结果与真实模型非常吻合。

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