US 12,361,610 B2
Predictive geological drawing system and method
Yannick Fuchey, Montpellier (FR); and Eric Moscardi, Cazilhac (FR)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Appl. No. 18/258,138
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
PCT Filed Dec. 17, 2021, PCT No. PCT/US2021/072980
§ 371(c)(1), (2) Date Jun. 16, 2023,
PCT Pub. No. WO2022/133482, PCT Pub. Date Jun. 23, 2022.
Claims priority of provisional application 63/199,273, filed on Dec. 17, 2020.
Prior Publication US 2024/0037819 A1, Feb. 1, 2024
Int. Cl. G06T 11/20 (2006.01); G06F 30/27 (2020.01); G06N 20/00 (2019.01); G06T 11/00 (2006.01); G06V 30/422 (2022.01)
CPC G06T 11/20 (2013.01) [G06F 30/27 (2020.01); G06N 20/00 (2019.01); G06T 11/001 (2013.01); G06V 30/422 (2022.01)] 17 Claims
OG exemplary drawing
 
1. A method for representing a geology, comprising:
displaying a representation of a known geological feature to a plurality of training users;
receiving training geological feature sketches from the plurality of training users; and
training a machine learning model based at least in part on the training geological feature sketches;
receiving one or more drawing strokes that are part of a geological feature sketch;
predicting, using the machine learning model, one or more predicted geological features based at least in part on the one or more drawing strokes before the geological feature sketch is complete;
displaying the one or more predicted geological features;
receiving a selection of one of the one or more predicted geological features; and
generating an image representing the geology including a digital representation of the selected one of the one or more predicted geological features.