US 12,449,556 B2
Automatic salt geometry detection in a subsurface volume
Tao Zhao, Houston, TX (US); Chunpeng Zhao, Houston, TX (US); Anisha Kaul, Houston, TX (US); and Aria Abubakar, Houston, TX (US)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Appl. No. 18/551,216
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
PCT Filed Mar. 17, 2022, PCT No. PCT/US2022/071195
§ 371(c)(1), (2) Date Sep. 19, 2023,
PCT Pub. No. WO2022/198220, PCT Pub. Date Sep. 22, 2022.
Claims priority of provisional application 63/200,636, filed on Mar. 19, 2021.
Prior Publication US 2024/0176036 A1, May 30, 2024
Int. Cl. G01V 1/28 (2006.01); G01V 1/30 (2006.01); G06N 3/0464 (2023.01); G06N 3/08 (2023.01)
CPC G01V 1/282 (2013.01) [G01V 1/303 (2013.01); G06N 3/0464 (2023.01); G06N 3/08 (2013.01); G01V 2210/51 (2013.01); G01V 2210/6222 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving seismic data and an initial velocity model;
generating a first seismic image based at least in part on the seismic data and the initial velocity model;
training a machine learning model to predict salt masks based at least in part on seismic images, training includes using a first salt mask and the seismic image as a training couple;
merging the initial velocity model and the first salt mask to generate a first modified velocity model;
generating an updated velocity model based at least in part on the first modified velocity model;
generating a second seismic image based at least in part on the updated velocity model;
predicting a second salt mask based at least in part on the second seismic image and the updated velocity model, using the trained machine learning model; and
merging the updated velocity model and the second salt mask to generate a second modified velocity model.