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1. WO2022165528 - GEOLOGIC SEARCH FRAMEWORK

Publication Number WO/2022/165528
Publication Date 04.08.2022
International Application No. PCT/US2022/070428
International Filing Date 31.01.2022
IPC
G01V 1/30 2006.1
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
1Seismology; Seismic or acoustic prospecting or detecting
28Processing seismic data, e.g. analysis, for interpretation, for correction
30Analysis
G01V 1/34 2006.1
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
1Seismology; Seismic or acoustic prospecting or detecting
28Processing seismic data, e.g. analysis, for interpretation, for correction
34Displaying seismic recordings
G06N 20/00 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06F 16/54 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
50of still image data
54Browsing; Visualisation therefor
G06F 16/587 2019.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
50of still image data
58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
587using geographical or spatial information, e.g. location
CPC
G01V 1/008
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
1Seismology; Seismic or acoustic prospecting or detecting
008Earthquake measurement or prediction
G01V 1/226
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
1Seismology; Seismic or acoustic prospecting or detecting
22Transmitting seismic signals to recording or processing apparatus
226Optoseismic systems
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 3/045
G06N 3/088
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
088Non-supervised learning, e.g. competitive learning
G06N 7/01
Applicants
  • SCHLUMBERGER TECHNOLOGY CORPORATION [US]/[US] (US)
  • SCHLUMBERGER CANADA LIMITED [CA]/[CA] (CA)
  • SERVICES PETROLIERS SCHLUMBERGER [FR]/[FR] (FR)
  • GEOQUEST SYSTEMS B.V. [NL]/[NL] (AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BE, BF, BG, BH, BJ, BN, BR, BW, BY, BZ, CF, CG, CH, CI, CL, CM, CN, CO, CR, CU, CY, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GA, GB, GD, GE, GH, GM, GN, GQ, GR, GT, GW, HN, HR, HU, ID, IE, IL, IN, IR, IS, IT, JO, JP, KE, KG, KH, KM, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LT, LU, LV, LY, MA, MC, MD, ME, MG, MK, ML, MN, MR, MT, MW, MX, MY, MZ, NA, NE, NG, NI, NL, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SI, SK, SL, SM, SN, ST, SV, SY, SZ, TD, TG, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, UZ, VC, VN, WS, ZA, ZM, ZW)
Inventors
  • PICKLES, Robin John
  • TORRENS, Richard
  • FREEMAN, Stephen Robert
  • VHANAMANE, Ranjit
  • PARK, Kwangwon
Agents
  • GEX, Gary
  • GUTHRIE, Michael
Priority Data
63/143,90631.01.2021US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) GEOLOGIC SEARCH FRAMEWORK
(FR) INFRASTRUCTURE DE RECHERCHE GÉOLOGIQUE
Abstract
(EN) A method can include, responsive to receipt of input characterizing a geologic environment, utilizing a trained machine learning model to identify a number of geologic environments that include corresponding data stored in at least one database; analyzing one or more of the number of geologic environments; and outputting a result based at least in part on the analyzing.
(FR) Un procédé peut consister, en réponse à la réception d'une entrée caractérisant un environnement géologique, à utiliser un modèle d'apprentissage automatique formé pour identifier un certain nombre d'environnements géologiques comprenant des données correspondantes stockées dans au moins une base de données ; à analyser un ou plusieurs environnements parmi le certain nombre d'environnements géologiques ; et à émettre en sortie un résultat en fonction, au moins en partie, de l'analyse.
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