CL2023000399A1 - Sistemas y métodos para análisis mejorado de muestras de núcleo referencia cruzada a una solicitud - Google Patents

Sistemas y métodos para análisis mejorado de muestras de núcleo referencia cruzada a una solicitud

Info

Publication number
CL2023000399A1
CL2023000399A1 CL2023000399A CL2023000399A CL2023000399A1 CL 2023000399 A1 CL2023000399 A1 CL 2023000399A1 CL 2023000399 A CL2023000399 A CL 2023000399A CL 2023000399 A CL2023000399 A CL 2023000399A CL 2023000399 A1 CL2023000399 A1 CL 2023000399A1
Authority
CL
Chile
Prior art keywords
systems
methods
application
cross reference
improved analysis
Prior art date
Application number
CL2023000399A
Other languages
English (en)
Inventor
Luke George
Original Assignee
Longyear Tm Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Longyear Tm Inc filed Critical Longyear Tm Inc
Publication of CL2023000399A1 publication Critical patent/CL2023000399A1/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Quality & Reliability (AREA)
  • Geometry (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

En este documento se proporcionan métodos y sistemas para un análisis mejorado de muestras de núcleo. Es posible analizar al menos una imagen de una muestra de núcleo para determinar los datos estructurales asociados con la muestra de núcleo (p. ej., atributos de la muestra de núcleo). Un modelo de aprendizaje automático puede analizar la al menos una imagen y determinar uno o más atributos asociados con la muestra de núcleo. El modelo de aprendizaje automático puede generar una máscara de segmentación. Se puede generar una imagen de salida. Un usuario puede interactuar con la imagen de salida y proporcionar una o más ediciones de usuario. Es posible proporcionar las una o más ediciones del usuario al modelo de aprendizaje automático para su optimización.
CL2023000399A 2020-08-07 2023-02-07 Sistemas y métodos para análisis mejorado de muestras de núcleo referencia cruzada a una solicitud CL2023000399A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US202063062975P 2020-08-07 2020-08-07

Publications (1)

Publication Number Publication Date
CL2023000399A1 true CL2023000399A1 (es) 2023-07-28

Family

ID=80117648

Family Applications (1)

Application Number Title Priority Date Filing Date
CL2023000399A CL2023000399A1 (es) 2020-08-07 2023-02-07 Sistemas y métodos para análisis mejorado de muestras de núcleo referencia cruzada a una solicitud

Country Status (6)

Country Link
US (2) US11790506B2 (es)
AU (2) AU2021212137B2 (es)
CA (1) CA3188527A1 (es)
CL (1) CL2023000399A1 (es)
PE (1) PE20230761A1 (es)
WO (1) WO2022031839A1 (es)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116109906B (zh) * 2023-04-10 2023-06-23 四川省地质矿产勘查开发局一0六地质队 一种基于MaskRCNN结合U-Net的人工智能岩体RQD计算方法

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009075667A2 (en) * 2007-11-30 2009-06-18 Halliburton Energy Services Method and system for predicting performance of a drilling system having multiple cutting structures
EP2304174A4 (en) * 2008-05-22 2015-09-23 Schlumberger Technology Bv UNDERGROUND MEASUREMENT OF TRAINING CHARACTERISTICS DURING DRILLING
US9507047B1 (en) 2011-05-10 2016-11-29 Ingrain, Inc. Method and system for integrating logging tool data and digital rock physics to estimate rock formation properties
WO2016182799A1 (en) * 2015-05-08 2016-11-17 Schlumberger Technology Corporation Real time drilling monitoring
EP3300524A1 (en) * 2015-08-06 2018-04-04 Accenture Global Services Limited Condition detection using image processing
CA3035978C (en) * 2016-09-09 2021-05-18 Bly Ip Inc. Systems and methods for analyzing core using x-ray fluorescence
WO2019167030A1 (en) 2018-03-02 2019-09-06 Kore Geosystems Inc. Identifying and logging properties of core samples

Also Published As

Publication number Publication date
AU2021212137B2 (en) 2022-12-01
CA3188527A1 (en) 2022-02-10
AU2023201031A1 (en) 2023-03-23
AU2021212137A1 (en) 2022-02-24
US11790506B2 (en) 2023-10-17
WO2022031839A1 (en) 2022-02-10
PE20230761A1 (es) 2023-05-08
US20240144456A1 (en) 2024-05-02
US20230274404A1 (en) 2023-08-31

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