MX353404B - Sistemas y métodos para la aproximación y calibración de la identificación del fluido óptico. - Google Patents

Sistemas y métodos para la aproximación y calibración de la identificación del fluido óptico.

Info

Publication number
MX353404B
MX353404B MX2015009443A MX2015009443A MX353404B MX 353404 B MX353404 B MX 353404B MX 2015009443 A MX2015009443 A MX 2015009443A MX 2015009443 A MX2015009443 A MX 2015009443A MX 353404 B MX353404 B MX 353404B
Authority
MX
Mexico
Prior art keywords
optical
model
calibration
fluid
systems
Prior art date
Application number
MX2015009443A
Other languages
English (en)
Other versions
MX2015009443A (es
Inventor
Jones Christopher
Chen Dingding
Perkins David
Cynthia Shen Jing
Original Assignee
Halliburton Energy Services 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 Halliburton Energy Services Inc filed Critical Halliburton Energy Services Inc
Publication of MX2015009443A publication Critical patent/MX2015009443A/es
Publication of MX353404B publication Critical patent/MX353404B/es

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing 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
    • E21B49/08Obtaining fluid samples or testing fluids, in boreholes or wells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • G01N21/274Calibration, base line adjustment, drift correction
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3577Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/12Circuits of general importance; Signal processing
    • G01N2201/129Using chemometrical methods
    • G01N2201/1296Using chemometrical methods using neural networks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/26Oils; Viscous liquids; Paints; Inks
    • G01N33/28Oils, i.e. hydrocarbon liquids
    • G01N33/2823Raw oil, drilling fluid or polyphasic mixtures

Landscapes

  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

En la presente se describen sistemas y métodos para la aproximación y calibración de la identificación del fluido óptico. Un ejemplo del método incluye cargar la base de datos con una pseudo respuesta calculada del sensor óptico (CPOS) de una primera herramienta óptica respecto a una primera muestra de fluido. La respuesta CPOS de la primera herramienta óptica abstracta se puede basar en un espectro de transmisión de una muestra de fluido y puede comprender un cálculo complejo con componentes seleccionados de la primera herramienta óptica. Se generó un primer modelo en función de, al menos en parte, la base de datos. El primer modelo puede recibir como aporte una respuesta del sensor óptico y emitir una propiedad prevista del fluido. También se puede generar un segundo modelo en función de, al menos en parte, la base de datos. El segundo modelo puede recibir como aporte al menos un valor de propiedad de fluido/ambiental conocido/medido y pueden emitir una pseudo respuesta prevista del sensor óptico de la primera herramienta óptica.
MX2015009443A 2013-03-08 2013-03-08 Sistemas y métodos para la aproximación y calibración de la identificación del fluido óptico. MX353404B (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2013/029861 WO2014137354A1 (en) 2013-03-08 2013-03-08 Systems and methods for optical fluid identification approximation and calibration

Publications (2)

Publication Number Publication Date
MX2015009443A MX2015009443A (es) 2015-09-24
MX353404B true MX353404B (es) 2018-01-11

Family

ID=47997841

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2015009443A MX353404B (es) 2013-03-08 2013-03-08 Sistemas y métodos para la aproximación y calibración de la identificación del fluido óptico.

Country Status (7)

Country Link
US (1) US9726012B2 (es)
EP (1) EP2939004A1 (es)
AU (1) AU2013380988B2 (es)
BR (1) BR112015017739B1 (es)
CA (1) CA2897165A1 (es)
MX (1) MX353404B (es)
WO (1) WO2014137354A1 (es)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10753830B2 (en) * 2013-03-18 2020-08-25 Dean Carroll Method and apparatus for controlling sampling of events involving a fluid control
WO2015094303A1 (en) 2013-12-19 2015-06-25 Halliburton Energy Services, Inc. Cross-sensor standardization
EP2925964A4 (en) 2014-01-27 2016-07-13 Halliburton Energy Services Inc CONSTRUCTION AND USE OF A BASE OF OPTICAL MODELS OF FLUIDS
BR112017006099A2 (pt) 2014-12-04 2018-01-30 Halliburton Energy Services Inc sistema, método, e, meio legível por computador para caracterização de fluidos presentes em furos de poços de hidrocarbonetos.
US20160320527A1 (en) 2014-12-29 2016-11-03 Halliburton Energy Services, Inc. System and methods for cross-sensor linearization
US10738597B2 (en) * 2015-05-20 2020-08-11 Halliburton Energy Services, Inc. Frequency comb for downhole chemical sensing
WO2017086949A1 (en) * 2015-11-18 2017-05-26 Halliburton Energy Services, Inc. Dual-sensor tool optical data processing through master sensor standardization
US10495778B2 (en) 2015-11-19 2019-12-03 Halliburton Energy Services, Inc. System and methods for cross-tool optical fluid model validation and real-time application
US10317337B2 (en) 2016-05-27 2019-06-11 Halliburton Energy Services, Inc. Reverse design technique for optical processing elements
US20190162066A1 (en) * 2016-09-20 2019-05-30 Halliburton Energy Services, Inc. Fluid analysis tool and method to use the same
CN108005649B (zh) * 2017-12-15 2021-04-09 中国石油集团川庆钻探工程有限公司 利用气测效率值判别地层流体性质的方法
US11467314B2 (en) 2018-07-16 2022-10-11 Halliburton Energy Services, Inc. Optical sensor adaptive calibration
WO2021081174A1 (en) * 2019-10-22 2021-04-29 Schlumberger Technology Corporation Fluid type identification from downhole fluid analysis using machine learning techniques

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4629702A (en) 1984-10-04 1986-12-16 Mobil Oil Corporation Method for classifying the sedimentary kerogen for oil source
MY107650A (en) * 1990-10-12 1996-05-30 Exxon Res & Engineering Company Method of estimating property and / or composition data of a test sample
US6441388B1 (en) * 1998-10-13 2002-08-27 Rio Grande Medical Technologies, Inc. Methods and apparatus for spectroscopic calibration model transfer
CN101421488B (zh) 2006-02-16 2012-07-04 雪佛龙美国公司 从地下油页岩资源提取油母沥青
WO2009082418A2 (en) * 2007-10-12 2009-07-02 Real-Time Analyzers, Inc. Method and apparatus for determining properties of fuels
US9552462B2 (en) 2008-12-23 2017-01-24 Exxonmobil Upstream Research Company Method for predicting composition of petroleum
US20100212904A1 (en) 2009-02-24 2010-08-26 Eog Resources, Inc. In situ fluid reservoir stimulation process

Also Published As

Publication number Publication date
AU2013380988A1 (en) 2015-07-09
US20160032719A1 (en) 2016-02-04
BR112015017739B1 (pt) 2020-10-06
BR112015017739A2 (pt) 2017-07-11
WO2014137354A1 (en) 2014-09-12
US9726012B2 (en) 2017-08-08
CA2897165A1 (en) 2014-09-12
MX2015009443A (es) 2015-09-24
EP2939004A1 (en) 2015-11-04
AU2013380988B2 (en) 2016-09-22

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