Iterative dip-steering median filter for seismic data processing
AssigneeSaudi Arabian Oil Company
InventorsShoudong Huo, Weihong Zhu
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AssigneeSaudi Arabian Oil Company
InventorsShoudong Huo, Weihong Zhu
Estimating the term…
An iterative dip-steering median filter is provided for random noise attenuation in seismic data where conflicting dips are indicated in the data. A number of dominant dips inside a processing window or sample of the data are identified by a Fourier-radial transform in the frequency-wavenumber domain. A median filter is then applied along the dominant dip to remove noise, and the remaining signal after filtering is retained for further median filter iterations. Iterations are repeated to apply the median filter along the most dominant dip in the remaining data. The processing continues in subsequent iterations until all selected dips have been processed. The remaining signal of each iteration is then summed for final output.
A computer implemented method of processing seismic data, in which time-spatial processing results of the data indicate conflicting dips, to attenuate random noise in the seismic data, comprising the computer implemented processing steps of:
A data processing system for seismic data, in which time-spatial processing results of the data indicate conflicting dips, to attenuate random noise in the seismic data, the data processing system comprising:
A data storage device having stored in a computer readable medium computer operable instructions for causing a data processing system to process seismic data, in which time-spatial processing results of the data indicate conflicting dips, to attenuate random noise in the seismic data, the instructions stored in the data storage device causing the data processing system to perform the following steps:
Dependencies are inferred from the claim text.