叠前含随机噪声地震数据抛物Radon变换法重建
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摘要
抛物Radon变换法是地震数据插值和外推的有效方法。由于该方法是沿抛物线路径进行积分的数据处理方法,所以在对地震数据插值重建的同时,可以压制随机噪声,提高地震资料的信噪比。为此,研究了抛物Rodon变换法在含随机噪声地震资料缺失数据重建中的作用,通过模拟的水平层状介质模型和二维复杂Marm-ousi模型数据插值和外推计算结果验证了方法的有效性,并通过实际地震数据的处理结果证明,抛物Radon变换法可以在数据外推的同时有效地提高地震资料的信噪比,是一种实用的叠前地震数据预处理方法。
Parabolic Radon transform (PRT) is effective in interpolation and extrapolation of missing seismic traces. It calculates integral along parabolic paths, and is able to reconstruct seismic data by interpolation while decrease random noises. This paper studied the role of PRT in the reconstruction of missing traces from noisy seismic data. The reconstruction and extrapolation of a horizontally layered model and a 2-D Marmousi model demonstrate the effectiveness of the proposed method. Results from offshore CMP gathers show that PRT is stable and applicable in prestack seismic data preprocessing. It improves S/N ratio while reconstructs the missing traces.
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