PE20230761A1 - Sistemas y metodos para analisis mejorado de muestras de nucleo - Google Patents

Sistemas y metodos para analisis mejorado de muestras de nucleo

Info

Publication number
PE20230761A1
PE20230761A1 PE2023000223A PE2023000223A PE20230761A1 PE 20230761 A1 PE20230761 A1 PE 20230761A1 PE 2023000223 A PE2023000223 A PE 2023000223A PE 2023000223 A PE2023000223 A PE 2023000223A PE 20230761 A1 PE20230761 A1 PE 20230761A1
Authority
PE
Peru
Prior art keywords
systems
methods
core sample
core samples
machine learning
Prior art date
Application number
PE2023000223A
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 PE20230761A1 publication Critical patent/PE20230761A1/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)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Geometry (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

Comprende metodos y sistemas para mejorar el analisis de muestras de nucleo donde se puede analizar al menos una imagen de una muestra central para determinar datos estructurales asociados con la muestra central (por ejemplo, atributos de la muestra central); un modelo de aprendizaje automatico puede analizar al menos una imagen y determinar uno o mas atributos asociados con la muestra central; el modelo de aprendizaje automatico puede generar una mascara de segmentacion que puede generar una imagen de salida; un usuario puede interactuar con la imagen de salida y proporcionar una o mas ediciones de usuario; la una o mas ediciones del usuario pueden proporcionarse al modelo de aprendizaje automatico para su optimizacion.
PE2023000223A 2020-08-07 2021-08-04 Sistemas y metodos para analisis mejorado de muestras de nucleo PE20230761A1 (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202063062975P 2020-08-07 2020-08-07
PCT/US2021/044529 WO2022031839A1 (en) 2020-08-07 2021-08-04 Systems and methods for improved core sample analysis

Publications (1)

Publication Number Publication Date
PE20230761A1 true PE20230761A1 (es) 2023-05-08

Family

ID=80117648

Family Applications (1)

Application Number Title Priority Date Filing Date
PE2023000223A PE20230761A1 (es) 2020-08-07 2021-08-04 Sistemas y metodos para analisis mejorado de muestras de nucleo

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 (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230088925A1 (en) * 2021-09-21 2023-03-23 Microsoft Technology Licensing, Llc Visual Attribute Expansion via Multiple Machine Learning Models
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
GB2468251B (en) * 2007-11-30 2012-08-15 Halliburton Energy Serv Inc Method and system for predicting performance of a drilling system having multiple cutting structures
WO2009142873A1 (en) 2008-05-22 2009-11-26 Schlumberger Canada Limited Downhole measurement of formation characteristics while 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
CA2994511C (en) * 2015-08-06 2020-01-21 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
CA3188527A1 (en) 2022-02-10
AU2021212137A1 (en) 2022-02-24
CL2023000399A1 (es) 2023-07-28
AU2021212137B2 (en) 2022-12-01
WO2022031839A1 (en) 2022-02-10
US11790506B2 (en) 2023-10-17
US20230274404A1 (en) 2023-08-31
US20240144456A1 (en) 2024-05-02
AU2023201031A1 (en) 2023-03-23

Similar Documents

Publication Publication Date Title
PE20230761A1 (es) Sistemas y metodos para analisis mejorado de muestras de nucleo
JP6778654B2 (ja) 単語分割推定モデル学習装置、単語分割装置、方法、及びプログラム
WO2021253641A1 (zh) 着色语言翻译方法
US10037264B2 (en) Test suite minimization
CN105096666A (zh) 整句翻译逐词对应的英语学习方法及系统
AR117141A1 (es) Método para reconocer con precisión el tipo de multitud incluida en una imagen y la información de estructura que describe la estructura de la multitud, y aparato de procesamiento
BR112021018933A2 (pt) Detecção rápida de fusões genéticas
Li et al. NFRNet: a deep neural network for automatic classification of non-functional requirements
KR101559576B1 (ko) 모바일 대화 시스템의 언어 인식 모듈을 위한 동시 인식 장치 및 방법
WO2015141723A1 (ja) ソースコード生成および提供装置、並びにソースコード生成および提供方法
Buitrago-Suescún et al. Data Envelopment Analysis for Efficiency Measurement on Higher Education Institutions: a State of the Art Review
Bäckström et al. Capturing Value-based leadership in Practice:: Insights from developing and applying an AI-interview guide
Ekecrantz et al. Teaching-Research Nexus or Mock Research? Student Factors, Supervision and the Undergraduate Thesis in History
Wajdi et al. Understanding the Quran Holistically: Interdisciplinary Study of the Language and Linguistics of the Quran
Barbosa Castañeda et al. Literature as a Resource in Teaching the History of Economic Thought: Economic Analysis of The Merchant of Venice
Lundgren The openness buzz: a study of openness in planning, politics and political decision-making in Sweden from an institutional perspective
Lindblad Organising the implementation of bim: A study of a large swedish client organisation
Cardoso et al. Artificial Intelligence: the new source of productivity in the fashion supply chain
Obukhov et al. POSTER FOR ARTICLE: DEFINING A METHODOLOGY FOR INTEGRATING SEMANTIC, GEOSPATIAL, AND TEMPORAL TECHNIQUES FOR CONFLICT ANALYSIS
Hongkai Keynote Speech IV
Kohler Analyzing Semiotic Catalysis with Natural Logic: a Proposal
KR20130068610A (ko) 음성 대화 인터페이스 장치 및 그 방법
Stella Apache pig for data science
BERLINCK For the diffusion of scientific knowledge
Hyder et al. Is CSR focused Internationalization Realistic for High-Tech Small and Medium-Sized Enterprises (SMEs)?