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1. WO2021061110 - MACHINE LEARNING APPROACH FOR IDENTIFYING MUD AND FORMATION PARAMETERS BASED ON MEASUREMENTS MADE BY AN ELECTROMAGNETIC IMAGER TOOL

Publication Number WO/2021/061110
Publication Date 01.04.2021
International Application No. PCT/US2019/052813
International Filing Date 25.09.2019
IPC
G01V 3/30 2006.01
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
3Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination or deviation
18specially adapted for well-logging
30operating with electromagnetic waves
G01V 3/34 2006.01
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
3Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination or deviation
18specially adapted for well-logging
34Transmitting data to recording or processing apparatus; Recording data
E21B 41/00 2006.01
EFIXED CONSTRUCTIONS
21EARTH OR ROCK DRILLING; MINING
BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
41Equipment or details not covered by groups E21B15/-E21B40/95
E21B 49/00 2006.01
EFIXED CONSTRUCTIONS
21EARTH OR ROCK DRILLING; MINING
BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
49Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
CPC
E21B 49/005
EFIXED CONSTRUCTIONS
21EARTH DRILLING; MINING
BEARTH DRILLING, e.g. DEEP DRILLING
49Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
005Testing the nature of borehole walls or the formation by using drilling mud or cutting data
G01V 1/306
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
306for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
G01V 3/088
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
3Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
08operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
088operating with electric fields
G01V 3/20
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
3Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
18specially adapted for well-logging
20operating with propagation of electric current
G01V 3/28
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
3Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
18specially adapted for well-logging
26operating with magnetic or electric fields produced or modified either by the surrounding earth formation or by the detecting device
28using induction coils
G06K 9/6269
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
6269based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
Applicants
  • HALLIBURTON ENERGY SERVICES, INC. [US]/[US]
Inventors
  • SAMSON, Etienne M.
  • GUNER, Baris
  • FOUDA, Ahmed E.
Agents
  • BRYAN, Jason W.
  • WEAVER, Andrew Z.
  • HAYES, Aleece M.
  • RICE, Phillip M.
  • KUO, Jeffrey R
  • DAVIS, Kevin
  • DAVIS, Ryan P.
Priority Data
16/579,51323.09.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) MACHINE LEARNING APPROACH FOR IDENTIFYING MUD AND FORMATION PARAMETERS BASED ON MEASUREMENTS MADE BY AN ELECTROMAGNETIC IMAGER TOOL
(FR) APPROCHE D'APPRENTISSAGE AUTOMATIQUE POUR L'IDENTIFICATION DE PARAMÈTRES DE BOUE ET DE FORMATION SUR LA BASE DE MESURES EFFECTUÉES PAR UN OUTIL D'IMAGERIE ÉLECTROMAGNÉTIQUE
Abstract
(EN)
Aspects of the subject technology relate to systems and methods for identifying values of mud and formation parameters based on measurements gathered by an electromagnetic imager tool through machine learning. One or more regression functions that model mud and formation parameters capable of being identified through an electromagnetic imager tool as a function of possible tool measurements of the electromagnetic imager tool can be generated using a known dataset associated with the electromagnetic imager tool. One or more tool measurements obtained by the electromagnetic imager tool operating to log a wellbore can be gathered. As follows, one or more values of the mud and formation parameters can be identified by applying the one or more regression functions to the one or more tool measurements.
(FR)
Des aspects de la technologie de l'invention concernent des systèmes et des procédés d'identification de valeurs de paramètres de boue et de formation sur la base de mesures collectées par un outil d'imagerie électromagnétique, par l'intermédiaire d'un apprentissage automatique. Au moins une fonction de régression, qui modélise les paramètres de boue et de formation pouvant être identifiés par l'intermédiaire d'un outil d'imagerie électromagnétique en fonction des mesures d'outil possibles de l'outil d'imagerie électromagnétique, peut être générée à l'aide d'un ensemble de données connu associé à l'outil d'imagerie électromagnétique. Au moins une mesure d'outil, obtenue par l'outil d'imagerie électromagnétique fonctionnant pour réaliser une diagraphie d'un puits de forage, peut être collectée. Il s'ensuit qu'au moins une valeur des paramètres de boue et de formation peut être identifiée par application de l'au moins une fonction de régression à l'au moins une mesure d'outil.
Also published as
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