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Automated system and methods for adaptive robust denoising of large-scale seismic data sets
Automated system and methods for adaptive robust denoising of large-scale seismic data sets
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机译:大规模地震数据集自适应鲁棒去噪的自动化系统和方法
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摘要
Seismic survey data is received, indexed into index sets, and each index set partitioned into data blocks. For each particular data block of a particular index set, the particular data block is sliced into frequency slices. For each particular frequency slice of the particular data block, the particular frequency slice is processed to remove random and erratic noise by: forming a Hankel matrix from the particular frequency slice: determining an optimal rank for the Hankel matrix, determining a clean signal and erratic noise from the ranked Hankel matrix, and returning the clean signal and erratic noise for the particular frequency slice. A clean signal is assembled from the index sets.
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