SG11201911682WA - Reservoir materiality bounds from seismic inversion - Google Patents

Reservoir materiality bounds from seismic inversion

Info

Publication number
SG11201911682WA
SG11201911682WA SG11201911682WA SG11201911682WA SG11201911682WA SG 11201911682W A SG11201911682W A SG 11201911682WA SG 11201911682W A SG11201911682W A SG 11201911682WA SG 11201911682W A SG11201911682W A SG 11201911682WA SG 11201911682W A SG11201911682W A SG 11201911682WA
Authority
SG
Singapore
Prior art keywords
subsurface
materiality
international
model
inversion
Prior art date
Application number
SG11201911682WA
Other languages
English (en)
Inventor
Brent Wheelock
Jan Schmedes
Ratnanabha Sain
Original Assignee
Exxonmobil Upstream Res Co
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 Exxonmobil Upstream Res Co filed Critical Exxonmobil Upstream Res Co
Publication of SG11201911682WA publication Critical patent/SG11201911682WA/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/30—Analysis
    • G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V20/00—Geomodelling in general
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/62—Physical property of subsurface
    • G01V2210/624—Reservoir parameters
    • G01V2210/6244—Porosity

Landscapes

  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics (AREA)
  • Acoustics & Sound (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
SG11201911682WA 2017-08-15 2018-07-16 Reservoir materiality bounds from seismic inversion SG11201911682WA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762545748P 2017-08-15 2017-08-15
PCT/US2018/042286 WO2019036135A1 (en) 2017-08-15 2018-07-16 LIMITS OF TANK MATERIALITY FROM SEISMIC INVERSION

Publications (1)

Publication Number Publication Date
SG11201911682WA true SG11201911682WA (en) 2020-02-27

Family

ID=63080545

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201911682WA SG11201911682WA (en) 2017-08-15 2018-07-16 Reservoir materiality bounds from seismic inversion

Country Status (6)

Country Link
US (1) US11125899B2 (de)
EP (1) EP3669211B1 (de)
AU (1) AU2018317320B2 (de)
CA (1) CA3069322C (de)
SG (1) SG11201911682WA (de)
WO (1) WO2019036135A1 (de)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110244351A (zh) * 2019-04-22 2019-09-17 西安石油大学 一种不同约束地球物理反问题的统一构造反演方法
WO2021026545A1 (en) * 2019-08-06 2021-02-11 Exxonmobil Upstream Research Company Petrophysical inversion with machine learning-based geologic priors
CN112415581B (zh) * 2019-08-23 2022-05-24 中国石油化工股份有限公司 缝洞储层反演方法及系统
CN113159321B (zh) * 2021-04-07 2022-05-20 中南大学 重力约束下断裂面形态的贝叶斯推断方法
CN114910958B (zh) * 2022-05-17 2023-03-14 吉林大学 一种地震全波形反演方法与系统

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5305209A (en) * 1991-01-31 1994-04-19 Amoco Corporation Method for characterizing subterranean reservoirs
FR2734069B1 (fr) * 1995-05-12 1997-07-04 Inst Francais Du Petrole Methode pour predire, par une technique d'inversion, l'evolution de la production d'un gisement souterrain
US5798982A (en) * 1996-04-29 1998-08-25 The Trustees Of Columbia University In The City Of New York Method for inverting reflection trace data from 3-D and 4-D seismic surveys and identifying subsurface fluid and pathways in and among hydrocarbon reservoirs based on impedance models
DK1746443T3 (en) * 1999-10-22 2014-03-17 Fugro N V A method of calculating the elastic parameters and stone composition of subterranean formations using seismic data
US6980940B1 (en) * 2000-02-22 2005-12-27 Schlumberger Technology Corp. Intergrated reservoir optimization
WO2007008382A2 (en) 2005-07-13 2007-01-18 Exxonmobil Upstream Research Company Method for predicting the best and worst in a set of non-unique solutions
US8095345B2 (en) * 2009-01-20 2012-01-10 Chevron U.S.A. Inc Stochastic inversion of geophysical data for estimating earth model parameters
EP3121622B1 (de) 2015-07-24 2021-06-16 Bergen Teknologioverføring AS Verfahren zur vorhersage von parametern einer geologischen formation
EP3548929B1 (de) * 2016-12-02 2023-03-29 ExxonMobil Technology and Engineering Company Verfahren zur schätzung von petrophysikalischen eigenschaften für einzel- oder mehrfachszenarien aus mehreren spektral variablen seismischen und vollwellenfeldinversionsprodukten

Also Published As

Publication number Publication date
US20190056518A1 (en) 2019-02-21
CA3069322C (en) 2022-07-26
WO2019036135A1 (en) 2019-02-21
EP3669211A1 (de) 2020-06-24
AU2018317320B2 (en) 2021-10-21
US11125899B2 (en) 2021-09-21
AU2018317320A1 (en) 2019-12-19
EP3669211B1 (de) 2022-04-20
CA3069322A1 (en) 2019-02-21

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