US 12,117,577 B2
Apparatus and system for identifying seismic features
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 Apr. 22, 2024, as Appl. No. 18/641,972.
Application 18/641,972 is a continuation of application No. 17/667,173, filed on Feb. 8, 2022.
Prior Publication US 2024/0310543 A1, Sep. 19, 2024
Int. Cl. G01V 1/28 (2006.01)
CPC G01V 1/288 (2013.01) [G01V 2210/123 (2013.01); G01V 2210/324 (2013.01)] 11 Claims
OG exemplary drawing
 
1. An apparatus for event detection of passive seismic data, the apparatus comprising:
processing circuitry configured to:
extract features from the passive seismic data based on a backbone subnetwork of a residual deep neural network;
adjust parameters of the backbone subnetwork based on the extracted features;
generate 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;
classify 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
determine at least one seismic signal in the ROI from the first group of bounding box proposals.