MX368654B - Sistemas y métodos para mejorar la simulación numérica directa de las propiedades de los materiales desde muestras de roca y determinar la incertidumbre en las propiedades de los materiales. - Google Patents

Sistemas y métodos para mejorar la simulación numérica directa de las propiedades de los materiales desde muestras de roca y determinar la incertidumbre en las propiedades de los materiales.

Info

Publication number
MX368654B
MX368654B MX2015011300A MX2015011300A MX368654B MX 368654 B MX368654 B MX 368654B MX 2015011300 A MX2015011300 A MX 2015011300A MX 2015011300 A MX2015011300 A MX 2015011300A MX 368654 B MX368654 B MX 368654B
Authority
MX
Mexico
Prior art keywords
volume
material properties
testing system
digital
systems
Prior art date
Application number
MX2015011300A
Other languages
English (en)
Other versions
MX2015011300A (es
Inventor
Joanne Fredrich
Elizabeth Liu
Laurent Louis
Dianne Ni
Original Assignee
Bp Corp North America 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
Priority claimed from US13/836,483 external-priority patent/US20140270393A1/en
Application filed by Bp Corp North America Inc filed Critical Bp Corp North America Inc
Publication of MX2015011300A publication Critical patent/MX2015011300A/es
Publication of MX368654B publication Critical patent/MX368654B/es

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
    • G01N23/046—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24—Earth materials
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • 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
    • G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
    • G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N24/00—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
    • G01N24/08—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
    • G01N24/081—Making measurements of geologic samples, e.g. measurements of moisture, pH, porosity, permeability, tortuosity or viscosity
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Pulmonology (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Remote Sensing (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

Un sistema para ensayo para analizar un volumen digital tridimensional de una muestra del material. El sistema para ensayo define varios tamaños de volúmenes de ensayo donde cada tamaño de volumen de ensayo incluye un número diferente de vóxeles, definiendo el tamaño de las partes del volumen digital tridimensional para analizar. Para cada tamaño de volumen de ensayo, el sistema para ensayo adquiere dos partes adyacentes del volumen digital tridimensional que se está analizando actualmente. El sistema para ensayo calcula un valor de la propiedad del material para las dos partes adyacentes del volumen digital tridimensional y un valor de diferencia entre las dos partes adyacentes del volumen digital tridimensional. El proceso se repite sobre los tamaños de volúmenes de ensayo diferentes. El sistema para ensayo calcula valores de diferencia promedio para los tamaños de volúmenes de ensayo diferentes, desde los cuales determina un volumen elemental representativo.
MX2015011300A 2013-03-15 2014-03-12 Sistemas y métodos para mejorar la simulación numérica directa de las propiedades de los materiales desde muestras de roca y determinar la incertidumbre en las propiedades de los materiales. MX368654B (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/836,483 US20140270393A1 (en) 2013-03-15 2013-03-15 Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties
US14/063,742 US9070049B2 (en) 2013-03-15 2013-10-25 Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties
PCT/US2014/024527 WO2014150916A1 (en) 2013-03-15 2014-03-12 Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties

Publications (2)

Publication Number Publication Date
MX2015011300A MX2015011300A (es) 2015-12-03
MX368654B true MX368654B (es) 2019-10-10

Family

ID=51527238

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2015011300A MX368654B (es) 2013-03-15 2014-03-12 Sistemas y métodos para mejorar la simulación numérica directa de las propiedades de los materiales desde muestras de roca y determinar la incertidumbre en las propiedades de los materiales.

Country Status (11)

Country Link
US (1) US9070049B2 (es)
EP (1) EP2972303B1 (es)
JP (1) JP2016514273A (es)
CN (1) CN105074456B (es)
AU (1) AU2014235543B2 (es)
BR (1) BR112015021226B1 (es)
CA (1) CA2899955C (es)
EA (1) EA032063B1 (es)
MX (1) MX368654B (es)
SA (1) SA515361154B1 (es)
WO (1) WO2014150916A1 (es)

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WO2013169429A1 (en) 2012-05-08 2013-11-14 Exxonmobile Upstream Research Company Canvas control for 3d data volume processing
BR112014028783B1 (pt) * 2012-05-18 2021-11-03 Ingrain, Inc Método e sistema para estimar uma propriedade de rocha, método para caracterizar eficientemente rocha, e, meio legível por computador
WO2016060645A1 (en) * 2014-10-14 2016-04-21 Landmark Graphics Corporation Using representative elemental volume to determine subset volume in an area of interest earth model
EP3020913B1 (en) 2014-11-17 2017-06-14 Repsol, S.A. Method of managing petro-chemical reservoir production and program product therefor
US10330657B2 (en) * 2014-12-10 2019-06-25 Bp Corporation North America Inc. Estimation of conductivity for nanoporous materials
PL3040890T3 (pl) 2014-12-31 2022-01-31 Igloo Spółka Z Ograniczoną Odpowiedzialnością System do znajdowania materiałów o określonych właściwościach i sposób wspomagany komputerowo znajdowania materiałów o określonych właściwościach
WO2017055647A1 (es) * 2015-10-02 2017-04-06 Repsol, S.A. Método para proporcionar un modelo numérico de una muestra de roca
AU2017348074B2 (en) * 2016-10-31 2021-10-14 Bp Corporation North America Inc. Direct numerical simulation of petrophysical properties of rocks with two or more immicible phases
KR101983476B1 (ko) * 2017-11-23 2019-05-29 울산과학기술원 영상 정보 기반 입도 분포 추정 장치 및 방법
CN108445030B (zh) * 2018-01-31 2019-01-01 西安科技大学 基于图像与微观参数的胶结充填体力学响应特性预测方法
DE112019002789B4 (de) * 2018-06-01 2025-07-17 Halliburton Energy Services, Inc. Technik und Testeinrichtung zum Durchführen von Strömungstests, die ein Kiesfilter in einer Laborumgebung unter Bohrlochbedingungen simulieren
US11009497B2 (en) 2018-06-22 2021-05-18 Bp Corporation North America Inc. Systems and methods for estimating mechanical properties of rocks using grain contact models
CN109242985B (zh) * 2018-10-29 2020-06-05 中国科学院力学研究所 一种从三维图像确定孔隙结构关键参数的方法
US11879825B2 (en) 2018-12-18 2024-01-23 Shell Usa, Inc. Method for digitally characterizing the permeability of rock
CN110487835B (zh) * 2019-09-18 2022-04-05 西南石油大学 一种计算致密油气藏储层饱和度指数的新方法
WO2021101530A1 (en) * 2019-11-19 2021-05-27 Hewlett-Packard Development Company, L.P. Event and incident timelines
CN111443025B (zh) * 2020-04-12 2022-09-23 北京工业大学 一种基于纵波波速预估高温后花岗岩围岩孔隙度的方法
BR112022021368A2 (pt) 2020-04-22 2022-12-27 Shell Int Research Método para estimar a saturação de fluido de uma rocha contendo hidrocarbonetos, e, métodos habilitados por retropropagação para estimar uma saturação de fluido de uma rocha contendo hidrocarbonetos e de fluido de rocha
CN111666699B (zh) * 2020-04-30 2023-06-02 山东大学 基于rev全区域覆盖的岩体工程跨尺度模拟计算方法
US12529639B2 (en) 2020-06-30 2026-01-20 Shell Usa, Inc. Method for estimating hydrocarbon saturation of a rock
US12399297B2 (en) * 2020-09-10 2025-08-26 Khalifa University of Science and Technology Morphology decoder to predict heterogeneous rock permeability with machine learning guided 3D vision
US11898435B2 (en) * 2020-09-25 2024-02-13 Halliburton Energy Services, Inc. Correcting borehole images using machine-learning models
US12140725B2 (en) 2022-12-15 2024-11-12 Saudi Arabian Oil Company and King Abdullah University of Science and Technology Determining reservoir formation properties
CN117075199B (zh) * 2023-08-18 2024-03-22 中国铁路设计集团有限公司 基于天然源共振成像的既有铁路路基注浆效果评价方法
CN118822944B (zh) * 2024-06-03 2025-05-02 中国水利水电第六工程局有限公司 一种水洗石面层可观感质量评价方法及系统

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US20110004447A1 (en) * 2009-07-01 2011-01-06 Schlumberger Technology Corporation Method to build 3D digital models of porous media using transmitted laser scanning confocal mircoscopy and multi-point statistics
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Also Published As

Publication number Publication date
CA2899955A1 (en) 2014-09-25
AU2014235543B2 (en) 2018-06-21
AU2014235543A1 (en) 2015-08-06
EP2972303B1 (en) 2020-08-26
CA2899955C (en) 2023-03-07
SA515361154B1 (ar) 2017-10-11
JP2016514273A (ja) 2016-05-19
US20140270394A1 (en) 2014-09-18
EP2972303A1 (en) 2016-01-20
CN105074456A (zh) 2015-11-18
US9070049B2 (en) 2015-06-30
WO2014150916A1 (en) 2014-09-25
MX2015011300A (es) 2015-12-03
CN105074456B (zh) 2018-06-05
EA032063B1 (ru) 2019-04-30
EP2972303A4 (en) 2016-11-16
EA201591350A1 (ru) 2015-11-30
BR112015021226A2 (pt) 2020-03-10
BR112015021226B1 (pt) 2021-09-14

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