US 12,247,484 B2
Field data acquisition and virtual training system
Tormod Slettemeas, Lysaker (NO)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Appl. No. 17/596,492
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
PCT Filed Jun. 29, 2020, PCT No. PCT/US2020/040072
§ 371(c)(1), (2) Date Dec. 10, 2021,
PCT Pub. No. WO2020/264479, PCT Pub. Date Dec. 30, 2020.
Claims priority of provisional application 62/868,103, filed on Jun. 28, 2019.
Prior Publication US 2022/0275723 A1, Sep. 1, 2022
Int. Cl. E21B 49/00 (2006.01); G06Q 50/02 (2012.01)
CPC E21B 49/005 (2013.01) [G06Q 50/02 (2013.01); E21B 2200/20 (2020.05)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining data representing a subterranean volume, the data having been collected by a user in a field;
generating a digital model representing at least the subterranean volume based in part on the data;
searching the digital model based in part on one or more metadata parameters, the one or more metadata parameters describing one or more characteristics of a target location;
identifying, based on the searching, a plurality of analogous locations in the digital model based on the one or more characteristics of the target location;
prioritizing a first analogous location included in the plurality of analogous locations over a second analogous location included in the plurality of analogous locations based on a geographic relationship between the first analogous location and the target location;
identifying, based on the searching, one or more gaps in the digital model; and
determining a data acquisition activity based on the one or more gaps that were identified in the digital model.