US 12,228,693 B2
Seismic denoising
Chengbo Li, Houston, TX (US); and Yu Zhang, Katy, TX (US)
Assigned to Shearwater GeoServices Software Inc., Houston, TX (US)
Filed by Shearwater GeoServices Software Inc., Houston, TX (US)
Filed on Jan. 28, 2022, as Appl. No. 17/587,765.
Claims priority of provisional application 63/142,626, filed on Jan. 28, 2021.
Prior Publication US 2022/0236436 A1, Jul. 28, 2022
Int. Cl. G01V 1/36 (2006.01)
CPC G01V 1/368 (2013.01) [G01V 1/362 (2013.01); G01V 2210/1234 (2013.01); G01V 2210/3246 (2013.01); G01V 2210/3248 (2013.01); G01V 2210/51 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A process for automatically suppressing noise in seismic data where the process comprises:
obtaining raw data (d) from a seismic survey;
estimating a reference image (m) using a seismic image processing technique selected from automatic gain control, migration and stacking;
demigrating the data from the reference image (m) and building a dictionary from the demigrated data by unsupervised learning;
solving a dual-domain inversion problem to simultaneously invert signal and noise to obtain a denoised copy of the raw data (d).