MX367603B - Análisis discriminante usado con dispositivos informáticos ópticos. - Google Patents

Análisis discriminante usado con dispositivos informáticos ópticos.

Info

Publication number
MX367603B
MX367603B MX2015013987A MX2015013987A MX367603B MX 367603 B MX367603 B MX 367603B MX 2015013987 A MX2015013987 A MX 2015013987A MX 2015013987 A MX2015013987 A MX 2015013987A MX 367603 B MX367603 B MX 367603B
Authority
MX
Mexico
Prior art keywords
optical
discriminant analysis
substance
computing devices
neural network
Prior art date
Application number
MX2015013987A
Other languages
English (en)
Other versions
MX2015013987A (es
Inventor
Shen Jing
Chen Dingding
michael jones Christopher
Perkins David
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 MX2015013987A publication Critical patent/MX2015013987A/es
Publication of MX367603B publication Critical patent/MX367603B/es

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V8/00—Prospecting or detecting by optical means
    • G01V8/10—Detecting, e.g. by using light barriers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods
    • G01N2201/1296—Using chemometrical methods using neural networks

Landscapes

  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Geophysics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

Se describen sistemas y métodos que usan procesamiento y técnicas de análisis discriminante con el fin de reducir el tiempo requerido para determinar las propiedades químicas y/o físicas de una sustancia. Un método incluye hacer interactuar ópticamente múltiples elementos ópticos con una o más sustancias conocidas, donde cada elemento óptico está configurado para detectar una característica particular de la o las sustancias conocidas, generar una respuesta óptica de cada elemento óptico correspondiente a cada sustancia conocida, donde cada sustancia conocida corresponde a un espectro conocido almacenado en una base de datos óptica, y entrenar una red neuronal para proporcionar un modelo de clasificación de análisis discriminante para una sustancia desconocida, donde la red neuronal usa cada respuesta óptica como entradas y uno o más tipos de fluido como resultado, y los resultados corresponden a la o las sustancias conocidas.
MX2015013987A 2013-06-07 2013-06-07 Análisis discriminante usado con dispositivos informáticos ópticos. MX367603B (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2013/044651 WO2014196979A1 (en) 2013-06-07 2013-06-07 Discriminant analysis used with optical computing devices

Publications (2)

Publication Number Publication Date
MX2015013987A MX2015013987A (es) 2016-06-02
MX367603B true MX367603B (es) 2019-08-28

Family

ID=52008461

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2015013987A MX367603B (es) 2013-06-07 2013-06-07 Análisis discriminante usado con dispositivos informáticos ópticos.

Country Status (7)

Country Link
US (2) US10684388B2 (es)
EP (1) EP2984470A1 (es)
AU (1) AU2013391450B2 (es)
BR (1) BR112015025384A2 (es)
CA (1) CA2908923A1 (es)
MX (1) MX367603B (es)
WO (1) WO2014196979A1 (es)

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WO2017204814A1 (en) 2016-05-27 2017-11-30 Halliburton Energy Services, Inc. Reverse design technique for optical processing elements
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US10641091B2 (en) 2016-11-04 2020-05-05 Halliburton Energy Services, Inc. Automated downhole fluid classification using principal spectroscopy component data
WO2018084853A1 (en) * 2016-11-04 2018-05-11 Halliburton Energy Services, Inc. Universal downhole fluid analyzer with generic inputs
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NO20231101A1 (en) * 2021-04-21 2023-10-17 Onesubsea Ip Uk Ltd Flow regime classification, water liquid ratio estimation, and salinity estimation systems and methods
KR102573016B1 (ko) * 2021-05-18 2023-09-01 주식회사 에스비솔루션 분석물 데이터 보정 장치 및 방법
US12055464B2 (en) * 2022-04-14 2024-08-06 Pipesense, Llc Systems and methods for improved pipeline leak detection
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Also Published As

Publication number Publication date
AU2013391450B2 (en) 2017-02-02
CA2908923A1 (en) 2014-12-11
BR112015025384A2 (pt) 2017-07-18
WO2014196979A1 (en) 2014-12-11
US10684388B2 (en) 2020-06-16
US20150205000A1 (en) 2015-07-23
EP2984470A1 (en) 2016-02-17
US20200257015A1 (en) 2020-08-13
MX2015013987A (es) 2016-06-02
US11650348B2 (en) 2023-05-16
AU2013391450A1 (en) 2015-10-29

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