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A PDE-Based Approach to Three-Dimensional Seismic Data Fusion

机译:基于PDE的三维地震数据融合方法

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We present a new method for the denoising and fusion, which is dedicated to multiazimuth seismic data. We propose to combine low-level fusion and diffusion processes through the use of a unique model based on partial differential equations. The denoising process is driven by the seismic fault preserving diffusion equation. Meanwhile, relevant information (as seismic faults) is injected in the fused 3-D images by an inverse diffusion process. One of the advantages of such an original approach is to improve the quality of the results in case of noisy inputs, which are frequently occurring in seismic unprocessed data. Some examples on synthetic and real seismic data will demonstrate the efficiency of our method.
机译:我们提出了一种用于去噪和融合的新方法,该方法专用于多方位地震数据。我们建议通过使用基于偏微分方程的唯一模型来组合低级融合和扩散过程。去噪过程由地震断层保留扩散方程驱动。同时,通过逆扩散过程将相关信息(作为地震断层)注入到融合的3D图像中。这种原始方法的优点之一是在有噪声的输入(通常在地震未处理数据中经常出现)的情况下提高结果的质量。关于合成和真实地震数据的一些例子将证明我们方法的有效性。

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