US 11,668,848 B2
Method and system for seismic imaging using S-wave velocity models and machine learning
Ewenet Gashawbeza, Dhahran (SA); Jianwu Jiao, Dhahran (SA); and Saleh M. Al-Saleh, Dhahran (SA)
Assigned to SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed by SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed on Jun. 24, 2021, as Appl. No. 17/357,386.
Prior Publication US 2022/0413172 A1, Dec. 29, 2022
Int. Cl. G01V 1/30 (2006.01); G01V 1/28 (2006.01)
CPC G01V 1/303 (2013.01) [G01V 1/282 (2013.01); G01V 2210/51 (2013.01); G01V 2210/614 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining, by a computer processor, a P-wave velocity model and velocity ratio data regarding a geological region of interest;
generating, by the computer processor and based on the P-wave velocity model and the velocity ratio data, an initial S-wave velocity model regarding the geological region of interest;
determining, by the computer processor, a plurality of velocity boundaries within the initial S-wave velocity model using a trained model;
updating, by the computer processor, the initial S-wave velocity model using the plurality of velocity boundaries, an automatically-selected cross-correlation lag value based on a plurality of seismic migration gathers, and a migration-velocity analysis to produce an updated S-wave velocity model; and
generating, by the computer processor, a combined velocity model for the geological region of interest using the updated S-wave velocity model and the P-wave velocity model.