US 12,007,516 B2
Geological feature search engine
Tracy Dorrington, Houston, TX (US); and Chiao-Fang Hsu, Katy, TX (US)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Appl. No. 15/734,081
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
PCT Filed May 29, 2019, PCT No. PCT/US2019/034232
§ 371(c)(1), (2) Date Dec. 1, 2020,
PCT Pub. No. WO2019/236339, PCT Pub. Date Dec. 12, 2019.
Claims priority of provisional application 62/681,632, filed on Jun. 6, 2018.
Prior Publication US 2021/0223427 A1, Jul. 22, 2021
Int. Cl. G01V 1/30 (2006.01); G01V 1/34 (2006.01); G06F 16/535 (2019.01); G06F 16/583 (2019.01); G06N 3/04 (2023.01)
CPC G01V 1/345 (2013.01) [G01V 1/306 (2013.01); G06F 16/535 (2019.01); G06F 16/5854 (2019.01); G06N 3/04 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving a geological feature search query identifying one or more geological features and one or more constraints associated with the one or more geological features, wherein the one or more constraints include geological attributes, and wherein the geological attributes comprise a depth below a mudline;
executing, based on receiving the geological feature search query, a search of a database storing a plurality of seismic data images, wherein executing the search further comprises searching images from a volume model or a basin model;
determining rock types present in the seismic data images, and selecting and implementing at least one of a plurality of noise removal techniques for the seismic data images based upon the determined rock types wherein the seismic data images are labeled with the one or more geological features present in each of the plurality of seismic data images as part of a machine learning process;
determining, based on executing the search, search results, wherein the search results identify one more of the plurality of seismic data images having the one or more geological features identified in the geological feature search query; and
outputting information regarding the search results to facilitate performing at least one of exploration of at least one geographical area having the features of interest and avoidance of at least one geographical area comprising features representing hazardous areas.