Multichannel Deconvolution of Seismic Signals Using Statistical MCMC Methods
Multichannel Deconvolution of Seismic Signals Using Statistical MCMC Methods
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DOI：
10.1109/tsp.2010.2042485
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发表时间：
2010-05-01
影响因子：
5.4
通讯作者：
Raz, Shalom
中科院分区：
文献类型：
--
作者：
Ram, Idan;Cohen, Israel;Raz, Shalom
在本文中，我们提出了两种用于二维地震数据恢复的多通道盲反褶积算法。这两种算法都基于二维反射率先验模型，并使用迭代多通道反褶积过程对地震数据进行反褶积，同时考虑到相邻迹线之间的空间依赖性。第一种算法在每一步中采用改进的最大后验模式（MPM）算法，该算法利用前一个反射率列的估计值从相应的观测轨迹估计一个反射率列。第二种算法考虑了估计过程中前一列和后一列的估计。将这两种算法应用于合成数据和实际数据，与单通道反卷积方法相比，显示出更好的结果。预期，第二种算法在每个反射率列的估计过程中利用了更多的信息，结果优于第一种算法。
In this paper, we propose two multichannel blind deconvolution algorithms for the restoration of two-dimensional (2D) seismic data. Both algorithms are based on a 2D reflectivity prior model, and use iterative multichannel deconvolution procedures which deconvolve the seismic data, while taking into account the spatial dependency between neighboring traces. The first algorithm employs in each step a modified maximum posterior mode (MPM) algorithm which estimates a reflectivity column from the corresponding observed trace using the estimate of the preceding reflectivity column. The second algorithm takes into account estimates of both the preceding and subsequent columns in the estimation process. Both algorithms are applied to synthetic and real data and demonstrate better results compared to those obtained by a single-channel deconvolution method. Expectedly, the second algorithm which utilizes more information in the estimation process of each reflectivity column is shown to produce better results than the first algorithm.