US 12,092,780 B2
Event detection and de-noising method for passive seismic data
Naveed Iqbal, Dhahran (SA); and Abdullah Othman, Dhahran (SA)
Assigned to King Fahd University of Petroleum and Minerals, Dhahran (SA)
Filed by King Fahd University of Petroleum and Minerals, Dhahran (SA)
Filed on Feb. 8, 2022, as Appl. No. 17/667,173.
Prior Publication US 2023/0251396 A1, Aug. 10, 2023
Int. Cl. G01V 1/28 (2006.01)
CPC G01V 1/288 (2013.01) [G01V 2210/123 (2013.01); G01V 2210/324 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method for event detection of passive seismic data, the method comprising:
extracting features from the passive seismic data based on a backbone subnetwork of a residual deep neural network;
generating bounding box proposals for a region of interest (ROI) in the passive seismic data based on the extracted features being input to a region proposal network of the residual deep neural network;
adjusting parameters of the backbone subnetwork based on the extracted features;
classifying the bounding box proposals into two groups, each bounding box proposal in a first group indicating that a corresponding seismic signal presents in the ROI, each bounding box proposal in a second group indicating that no seismic signal presents in the ROI; and
determining at least one seismic signal in the ROI from the first group of bounding box proposals.