MX2014011709A - Un metodo eficiente para seleccionar volumen elemental representativo en representaciones digitales de medios porosos. - Google Patents
Un metodo eficiente para seleccionar volumen elemental representativo en representaciones digitales de medios porosos.Info
- Publication number
- MX2014011709A MX2014011709A MX2014011709A MX2014011709A MX2014011709A MX 2014011709 A MX2014011709 A MX 2014011709A MX 2014011709 A MX2014011709 A MX 2014011709A MX 2014011709 A MX2014011709 A MX 2014011709A MX 2014011709 A MX2014011709 A MX 2014011709A
- Authority
- MX
- Mexico
- Prior art keywords
- porous media
- rev
- elementary volume
- efficient method
- digital representations
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 6
- 239000012530 fluid Substances 0.000 abstract 2
- 239000011435 rock Substances 0.000 abstract 2
- 238000011156 evaluation Methods 0.000 abstract 1
- 239000011148 porous material Substances 0.000 abstract 1
Classifications
-
- 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
- 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
-
- 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
- G01N33/241—Earth materials for hydrocarbon content
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/40—Imaging
- G01N2223/419—Imaging computed tomograph
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/60—Specific applications or type of materials
- G01N2223/649—Specific applications or type of materials porosity
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Pathology (AREA)
- Immunology (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Medicinal Chemistry (AREA)
- Environmental & Geological Engineering (AREA)
- Remote Sensing (AREA)
- Food Science & Technology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pulmonology (AREA)
- Radiology & Medical Imaging (AREA)
- Theoretical Computer Science (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
- Image Analysis (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
La presente invención se relaciona con un método para estimar un volumen elemental representativo (REV) en una muestra de medio poroso en donde el subvolumen seleccionado es una mejor aproximación del volumen elemental que en métodos existentes. El REV en una muestra de medio poroso tal como roca que puede definirse en donde el REV se selecciona con respecto a la dirección esperada de flujo de fluido a través del medio poroso. El método puede cuantificar que tan buena es la representación digital de una roca y que tan precisa será una descripción de un flujo de fluido a través de la Ley de Darcy, y permite la evaluación de las escalas de longitud diferentes en direcciones diferentes para el REV y una evaluación de la anisotropía de las estructuras de poros cuando el método se aplica en diferentes direcciones. El método también puede determinar un criterio sólido para entender cuando una tendencia de porosidad-permeabilid ad se rompe debido al tamaño insuficiente de la muestra.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201261618265P | 2012-03-30 | 2012-03-30 | |
| US13/546,053 US20130262028A1 (en) | 2012-03-30 | 2012-07-11 | Efficient Method For Selecting Representative Elementary Volume In Digital Representations Of Porous Media |
| PCT/US2013/024593 WO2013147995A1 (en) | 2012-03-30 | 2013-02-04 | An efficient method for selecting representative elementary volume in digital representations of porous media |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| MX2014011709A true MX2014011709A (es) | 2014-12-08 |
| MX336642B MX336642B (es) | 2016-01-26 |
Family
ID=49236161
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2014011709A MX336642B (es) | 2012-03-30 | 2013-02-04 | Un metodo eficiente para seleccionar volumen elemental representativo en representaciones digitales de medios porosos. |
Country Status (10)
| Country | Link |
|---|---|
| US (1) | US20130262028A1 (es) |
| EP (1) | EP2831578A1 (es) |
| CN (1) | CN104335042B (es) |
| AU (1) | AU2013240570B2 (es) |
| BR (1) | BR112014024357B1 (es) |
| CA (1) | CA2868872C (es) |
| CO (1) | CO7081149A2 (es) |
| MX (1) | MX336642B (es) |
| RU (1) | RU2586397C2 (es) |
| WO (1) | WO2013147995A1 (es) |
Families Citing this family (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| MX349448B (es) | 2012-08-10 | 2017-07-28 | Ingrain Inc | Metodo para mejorar la precision de valores de propiedad de roca derivados a partir de imagenes digitales. |
| US20140052420A1 (en) * | 2012-08-20 | 2014-02-20 | Ingrain Inc. | Digital Rock Analysis Systems and Methods that Estimate a Maturity Level |
| US20140270393A1 (en) * | 2013-03-15 | 2014-09-18 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
| US9070049B2 (en) * | 2013-03-15 | 2015-06-30 | Bp Corporation North America Inc. | Systems and methods for improving direct numerical simulation of material properties from rock samples and determining uncertainty in the material properties |
| US20160305237A1 (en) * | 2013-12-05 | 2016-10-20 | Schlumberger Technology Corporation | Method and system of showing heterogeneity of a porous sample |
| RU2642556C1 (ru) * | 2014-03-31 | 2018-01-25 | Ингрейн, Инк. | Определение стандартного элемента объема по статистическим данным кластерного анализа |
| US10181216B2 (en) | 2015-01-30 | 2019-01-15 | Hewlett-Packard Development Company, L.P. | Generating slice data from a voxel representation |
| CN107111895A (zh) * | 2015-01-30 | 2017-08-29 | 惠普发展公司有限责任合伙企业 | 可变密度建模 |
| US9892321B2 (en) * | 2015-06-27 | 2018-02-13 | New England Research, Inc. | Using maximal inscribed spheres for image-based rock property estimation |
| US9841387B2 (en) * | 2015-07-22 | 2017-12-12 | Test Research, Inc. | Inspection method and device |
| US10394974B2 (en) * | 2015-10-01 | 2019-08-27 | Arizona Board Of Regents On Behalf Of Arizona State University | Geometry based method for simulating fluid flow through heterogeneous porous media |
| CA2999220A1 (en) | 2015-10-02 | 2017-04-06 | Repsol, S.A. | Method for providing a numerical model of a sample of rock |
| CN105651964B (zh) * | 2015-12-29 | 2017-11-03 | 河海大学 | 一种确定裂隙岩体表征单元体积的方法 |
| US10431419B2 (en) | 2016-07-19 | 2019-10-01 | Battelle Memorial Institute | Sparse sampling methods and probe systems for analytical instruments |
| CN107290358B (zh) * | 2017-06-20 | 2019-11-08 | 大连理工大学 | 一种应用ct测量多孔介质内co2-盐水界面面积变化的方法 |
| US10256072B2 (en) | 2017-08-01 | 2019-04-09 | Battelle Memorial Institute | Optimized sub-sampling in an electron microscope |
| CN107680131B (zh) * | 2017-09-08 | 2020-09-11 | 北京理工大学 | 一种快速确定多孔介质表征单元体积尺寸的方法 |
| CN107784169B (zh) * | 2017-10-11 | 2020-10-13 | 上海电力学院 | 基于变差函数及孔隙度的多孔介质表征单元体确定方法 |
| EP3707493A4 (en) * | 2017-11-06 | 2021-06-30 | Khalifa University of Science and Technology | METHOD AND SYSTEM FOR DETERMINING THE PERMEABILITY OF A POROUS MEDIUM |
| CN110029989B (zh) * | 2018-01-11 | 2021-11-02 | 中国石油化工股份有限公司 | 一种非常规油气采出程度计算方法及系统 |
| CN108320307B (zh) * | 2018-01-19 | 2020-09-08 | 中国石油天然气股份有限公司 | 一种确定储层岩石样品的有效单元体积的方法及装置 |
| DE112018007504B4 (de) * | 2018-04-23 | 2022-09-15 | Ngk Insulators, Ltd. | Verfahren und Vorrichtung zum Identifizieren eines gültigen oder ungültigen Strömungspfades |
| US10969323B2 (en) | 2018-05-30 | 2021-04-06 | Saudi Arabian Oil Company | Systems and methods for special core analysis sample selection and assessment |
| 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 |
| CN109191423B (zh) * | 2018-07-18 | 2019-07-02 | 中国矿业大学 | 一种基于机器图像智能学习的多孔介质渗透率预测方法 |
| CN109145407B (zh) * | 2018-08-01 | 2020-08-04 | 浙江大学 | 一种基于切片截面的隐式曲面多孔实体结构性能分析方法 |
| US11454111B2 (en) | 2020-01-30 | 2022-09-27 | Landmark Graphics Corporation | Determination of representative elemental length based on subsurface formation data |
| CN111597763B (zh) * | 2020-04-09 | 2023-06-27 | 东华理工大学 | 十字型多尺度流孔隙介质全频段弹性波频散衰减分析方法 |
| MX2023006307A (es) * | 2020-12-03 | 2023-06-14 | Eni Spa | Proceso para identificar una submuestra y un metodo para determinar las propiedades petrofisicas de una muestra de roca. |
| US11703440B2 (en) | 2021-09-24 | 2023-07-18 | General Electric Company | Porosity of a part |
| CN116168073A (zh) * | 2021-11-24 | 2023-05-26 | 中国石油天然气股份有限公司 | 一种数字岩心渗流特性分析的rev确定方法和装置 |
| US12049818B2 (en) | 2022-01-14 | 2024-07-30 | Halliburton Ener y Services, Inc. | Upscaling of formation petrophysical characteristics to a whole core scale |
| CN116704008B (zh) * | 2023-08-01 | 2023-10-17 | 城云科技(中国)有限公司 | 基于画面面积计算判断物体的方法、装置及其应用 |
| CN120741295B (zh) * | 2025-08-20 | 2025-11-18 | 长春黄金研究院有限公司 | 堆浸工艺矿石孔隙率的检测方法 |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4903207A (en) * | 1986-05-15 | 1990-02-20 | Restech, Inc. | Method for determining reservoir bulk volume of hydrocarbons from reservoir porosity and distance to oil-water contact level |
| US5430291A (en) * | 1992-05-01 | 1995-07-04 | Texaco Inc. | X-ray CT measurement of fracture widths and fracture porosity in reservoir core material |
| US6516080B1 (en) * | 2000-04-05 | 2003-02-04 | The Board Of Trustees Of The Leland Stanford Junior University | Numerical method of estimating physical properties of three-dimensional porous media |
| GB2414072B (en) * | 2004-05-12 | 2006-07-26 | Schlumberger Holdings | Classification method for sedimentary rocks |
| US7516055B2 (en) * | 2004-08-20 | 2009-04-07 | Chevron U.S.A. Inc | Multiple-point statistics (MPS) simulation with enhanced computational efficiency |
| US7630517B2 (en) * | 2005-07-13 | 2009-12-08 | Schlumberger Technology Corporation | Computer-based generation and validation of training images for multipoint geostatistical analysis |
| US8510242B2 (en) * | 2007-08-31 | 2013-08-13 | Saudi Arabian Oil Company | Artificial neural network models for determining relative permeability of hydrocarbon reservoirs |
| US8068579B1 (en) * | 2008-04-09 | 2011-11-29 | Xradia, Inc. | Process for examining mineral samples with X-ray microscope and projection systems |
| BRPI0902889A2 (pt) * | 2008-04-10 | 2017-08-29 | Prad Res & Development Ltd | Método para criar um modelo de pseudonúcleo numérico, sistema para criação de um modelo de pseudonúcleo numérico, e sistema para criar um modelo de pseudonúcleo numérico. |
| US8085974B2 (en) | 2008-11-24 | 2011-12-27 | Ingrain, Inc. | Method for determining elastic-wave attenuation of rock formations using computer tomograpic images thereof |
| US8081796B2 (en) | 2008-11-24 | 2011-12-20 | Ingrain, Inc. | Method for determining properties of fractured rock formations using computer tomograpic images thereof |
| US8170799B2 (en) | 2008-11-24 | 2012-05-01 | Ingrain, Inc. | Method for determining in-situ relationships between physical properties of a porous medium from a sample thereof |
| US8155377B2 (en) | 2008-11-24 | 2012-04-10 | Ingrain, Inc. | Method for determining rock physics relationships using computer tomographic images thereof |
| US8081802B2 (en) * | 2008-11-29 | 2011-12-20 | Ingrain, Inc. | Method for determining permeability of rock formation using computer tomograpic images thereof |
| 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 |
| US8805616B2 (en) * | 2010-12-21 | 2014-08-12 | Schlumberger Technology Corporation | Method to characterize underground formation |
-
2012
- 2012-07-11 US US13/546,053 patent/US20130262028A1/en not_active Abandoned
-
2013
- 2013-02-04 RU RU2014143802/28A patent/RU2586397C2/ru not_active IP Right Cessation
- 2013-02-04 CA CA2868872A patent/CA2868872C/en active Active
- 2013-02-04 WO PCT/US2013/024593 patent/WO2013147995A1/en not_active Ceased
- 2013-02-04 CN CN201380029060.XA patent/CN104335042B/zh not_active Expired - Fee Related
- 2013-02-04 AU AU2013240570A patent/AU2013240570B2/en not_active Ceased
- 2013-02-04 BR BR112014024357-3A patent/BR112014024357B1/pt not_active IP Right Cessation
- 2013-02-04 EP EP13706333.5A patent/EP2831578A1/en not_active Withdrawn
- 2013-02-04 MX MX2014011709A patent/MX336642B/es unknown
-
2014
- 2014-10-02 CO CO14218438A patent/CO7081149A2/es unknown
Also Published As
| Publication number | Publication date |
|---|---|
| MX336642B (es) | 2016-01-26 |
| BR112014024357B1 (pt) | 2021-06-22 |
| CN104335042A (zh) | 2015-02-04 |
| CN104335042B (zh) | 2016-08-24 |
| EP2831578A1 (en) | 2015-02-04 |
| CO7081149A2 (es) | 2014-10-10 |
| CA2868872C (en) | 2017-05-16 |
| US20130262028A1 (en) | 2013-10-03 |
| CA2868872A1 (en) | 2013-10-03 |
| WO2013147995A1 (en) | 2013-10-03 |
| AU2013240570B2 (en) | 2015-05-14 |
| RU2014143802A (ru) | 2016-05-27 |
| AU2013240570A1 (en) | 2014-10-16 |
| RU2586397C2 (ru) | 2016-06-10 |
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