AR128223A1 - Sistemas y métodos para segmentar instancias de partículas rocosas - Google Patents

Sistemas y métodos para segmentar instancias de partículas rocosas

Info

Publication number
AR128223A1
AR128223A1 ARP230100042A ARP230100042A AR128223A1 AR 128223 A1 AR128223 A1 AR 128223A1 AR P230100042 A ARP230100042 A AR P230100042A AR P230100042 A ARP230100042 A AR P230100042A AR 128223 A1 AR128223 A1 AR 128223A1
Authority
AR
Argentina
Prior art keywords
photographs
objects
systems
segmenting
instances
Prior art date
Application number
ARP230100042A
Other languages
English (en)
Inventor
Tetsushi Yamada
Santo Simone Di
Original Assignee
Schlumberger Technology Bv
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 Schlumberger Technology Bv filed Critical Schlumberger Technology Bv
Publication of AR128223A1 publication Critical patent/AR128223A1/es

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Classifications

    • 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
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing 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
    • E21B49/005—Testing the nature of borehole walls or the formation by using drilling mud or cutting data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N15/1429—Signal processing
    • G01N15/1433—Signal processing using image recognition
    • 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)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Mining & Mineral Resources (AREA)
  • Geology (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

Los sistemas y métodos presentados en este documento están configurados para entrenar un modelo de red neuronal usando un primer conjunto de fotografías, en donde cada fotografía del primer conjunto de fotografías representa un primer conjunto de objetos e incluye una o más anotaciones relacionadas con cada objeto del primer conjunto de objetos; para crear automáticamente imágenes de enmascaramiento correspondientes a un segundo conjunto de objetos representados por un segundo conjunto de fotografías; para permitir el ajuste manual de las imágenes de enmascaramiento correspondientes al segundo conjunto de objetos representados por el segundo conjunto de fotografías; para reentrenar el modelo de red neuronal usando el segundo conjunto de fotografías, en donde el reentrenamiento se basa, al menos en parte, en el ajuste manual de las imágenes de enmascaramiento correspondientes al segundo conjunto de objetos representados por el segundo conjunto de fotografías; e identificar uno o más objetos individuales en un tercer conjunto de fotografías usando el modelo de red neuronal reentrenado.
ARP230100042A 2022-01-07 2023-01-06 Sistemas y métodos para segmentar instancias de partículas rocosas AR128223A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US17/647,407 US20230220761A1 (en) 2022-01-07 2022-01-07 Systems and methods for segmenting rock particle instances

Publications (1)

Publication Number Publication Date
AR128223A1 true AR128223A1 (es) 2024-04-10

Family

ID=87070360

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP230100042A AR128223A1 (es) 2022-01-07 2023-01-06 Sistemas y métodos para segmentar instancias de partículas rocosas

Country Status (5)

Country Link
US (1) US20230220761A1 (es)
CN (1) CN118648021A (es)
AR (1) AR128223A1 (es)
MX (1) MX2024008517A (es)
WO (1) WO2023132935A1 (es)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116977827A (zh) * 2023-09-25 2023-10-31 中国检验认证集团山东有限公司 一种基于人工智能的铁矿石检测方法和系统
CN117432414B (zh) * 2023-12-20 2024-03-19 中煤科工开采研究院有限公司 顶板磨砂射流成缝的调控方法及系统

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011016928A1 (en) * 2009-08-07 2011-02-10 Exxonmobil Upstream Research Company Drilling advisory systems and method based on at least two controllable drilling parameters
NO347544B1 (en) * 2012-11-08 2023-12-27 Total Sa Method for processing an image
WO2019028725A1 (en) * 2017-08-10 2019-02-14 Intel Corporation CONVOLUTIVE NEURAL NETWORK STRUCTURE USING INVERTED CONNECTIONS AND OBJECTIVITY ANTERIORITIES TO DETECT AN OBJECT
WO2019167030A1 (en) * 2018-03-02 2019-09-06 Kore Geosystems Inc. Identifying and logging properties of core samples
US11704804B2 (en) * 2020-04-02 2023-07-18 GE Precision Healthcare LLC Domain adaptation using post-processing model correction

Also Published As

Publication number Publication date
CN118648021A (zh) 2024-09-13
US20230220761A1 (en) 2023-07-13
MX2024008517A (es) 2024-07-19
WO2023132935A1 (en) 2023-07-13

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