MX2016005569A - Integracion de porosidad de resonancia magnetica nuclear (rmn) en una metodologia de interpretacion probabilistica de registros multiples. - Google Patents

Integracion de porosidad de resonancia magnetica nuclear (rmn) en una metodologia de interpretacion probabilistica de registros multiples.

Info

Publication number
MX2016005569A
MX2016005569A MX2016005569A MX2016005569A MX2016005569A MX 2016005569 A MX2016005569 A MX 2016005569A MX 2016005569 A MX2016005569 A MX 2016005569A MX 2016005569 A MX2016005569 A MX 2016005569A MX 2016005569 A MX2016005569 A MX 2016005569A
Authority
MX
Mexico
Prior art keywords
porosity
nmr
integration
magnetic resonance
nuclear magnetic
Prior art date
Application number
MX2016005569A
Other languages
English (en)
Inventor
E Galford James
C Balliet Ronnel
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 MX2016005569A publication Critical patent/MX2016005569A/es

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/18—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/18—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging
    • G01V3/32—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging operating with electron or nuclear magnetic resonance

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • Remote Sensing (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Acoustics & Sound (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

Las ecuaciones de respuesta teóricas que representan medidas obtenidas a partir de múltiples modalidades de adquisición de registros se pueden combinar en un modelo que incluye un sistema de ecuaciones simultáneas que implican los volúmenes de formación de una región subterránea desconocida. Es posible emplear el modelo desarrollado para estimar en forma probabilística información de volumen respecto a una formación subterránea desconocida con base en un conjunto de datos iniciales de medidas de la región subterránea desconocida.
MX2016005569A 2013-12-19 2013-12-19 Integracion de porosidad de resonancia magnetica nuclear (rmn) en una metodologia de interpretacion probabilistica de registros multiples. MX2016005569A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2013/076674 WO2015094306A1 (en) 2013-12-19 2013-12-19 Nuclear magnetic resonance (nmr) porosity integration in a probabilistic multi-log interpretation methodology

Publications (1)

Publication Number Publication Date
MX2016005569A true MX2016005569A (es) 2016-10-26

Family

ID=53403398

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016005569A MX2016005569A (es) 2013-12-19 2013-12-19 Integracion de porosidad de resonancia magnetica nuclear (rmn) en una metodologia de interpretacion probabilistica de registros multiples.

Country Status (4)

Country Link
US (1) US20160231461A1 (es)
EP (1) EP2932312A4 (es)
MX (1) MX2016005569A (es)
WO (1) WO2015094306A1 (es)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10983246B2 (en) * 2015-12-21 2021-04-20 Schlumberger Technology Corporation Thermal maturity estimation via logs
US10209391B2 (en) 2016-08-23 2019-02-19 Baker Hughes, A Ge Company, Llc Simultaneous inversion of NMR multiple echo trains and conventional logs
CN108303752B (zh) * 2018-02-11 2021-03-23 中国石油化工股份有限公司 砂砾岩有效储层常规测井定量识别方法
WO2019216870A1 (en) * 2018-05-07 2019-11-14 Halliburton Energy Services, Inc. Reducing uncertainties in petrophysical measurements for reserves evaluations
CN108979629B (zh) * 2018-07-10 2021-10-26 中国海洋石油集团有限公司 一种基于密度和中子和核磁共振测井的气层密度计算方法
CN110687612B (zh) 2019-09-17 2020-09-08 中国石油天然气股份有限公司 吸附油和游离油含量连续表征的页岩油分析方法及装置
CN111042810B (zh) * 2019-12-27 2021-06-22 中国石油天然气集团有限公司 基于核磁量化表征的砂砾岩储层产能下限确定方法及系统
CN111638557A (zh) * 2020-04-28 2020-09-08 吉林大学 一种隧道磁共振准全空间反演参数不确定度分析方法

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7075297B2 (en) * 2002-08-09 2006-07-11 Schlumberger Technology Corporation Combining NMR, density, and dielectric measurements for determining downhole reservoir fluid volumes
US7587373B2 (en) * 2005-06-24 2009-09-08 Halliburton Energy Services, Inc. Neural network based well log synthesis with reduced usage of radioisotopic sources
US8101907B2 (en) * 2006-04-19 2012-01-24 Baker Hughes Incorporated Methods for quantitative lithological and mineralogical evaluation of subsurface formations
CA2694196C (en) * 2007-07-26 2016-05-17 Schlumberger Canada Limited System and method for estimating formation characteristics in a well
US8244472B2 (en) * 2008-08-28 2012-08-14 Chevron U.S.A. Inc. Enabling well-logging instrument development on a common, realistic earth model
US10429535B2 (en) * 2011-10-31 2019-10-01 Schlumberger Technology Corporation Statistical analysis of combined log data
US9316761B2 (en) * 2012-01-25 2016-04-19 Baker Hughes Incorporated Determining reservoir connectivity using fluid contact gravity measurements

Also Published As

Publication number Publication date
US20160231461A1 (en) 2016-08-11
WO2015094306A1 (en) 2015-06-25
EP2932312A4 (en) 2016-04-20
EP2932312A1 (en) 2015-10-21

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