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DK3121622T3 - Fremgangsmåde til forudsigelse af parametre af en geologisk formation - Google Patents

Fremgangsmåde til forudsigelse af parametre af en geologisk formation Download PDF

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Publication number
DK3121622T3
DK3121622T3 DK15002194.7T DK15002194T DK3121622T3 DK 3121622 T3 DK3121622 T3 DK 3121622T3 DK 15002194 T DK15002194 T DK 15002194T DK 3121622 T3 DK3121622 T3 DK 3121622T3
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DK
Denmark
Prior art keywords
geological formation
predicting parameters
predicting
parameters
geological
Prior art date
Application number
DK15002194.7T
Other languages
English (en)
Inventor
Tor Arne Johansen
Erling Hugo Jensen
Original Assignee
Bergen Teknologioverforing As
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Application filed by Bergen Teknologioverforing As filed Critical Bergen Teknologioverforing As
Application granted granted Critical
Publication of DK3121622T3 publication Critical patent/DK3121622T3/da

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/30Analysis
    • G01V1/306Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/622Velocity, density or impedance
    • G01V2210/6222Velocity; travel time
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/622Velocity, density or impedance
    • G01V2210/6224Density
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/624Reservoir parameters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/624Reservoir parameters
    • G01V2210/6242Elastic parameters, e.g. Young, Lamé or Poisson
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/62Physical property of subsurface
    • G01V2210/624Reservoir parameters
    • G01V2210/6244Porosity
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/66Subsurface modeling
    • G01V2210/665Subsurface modeling using geostatistical modeling
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/66Subsurface modeling
    • G01V2210/667Determining confidence or uncertainty in parameters

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Geophysics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Geology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Acoustics & Sound (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Algebra (AREA)
  • Probability & Statistics with Applications (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
DK15002194.7T 2015-07-24 2015-07-24 Fremgangsmåde til forudsigelse af parametre af en geologisk formation DK3121622T3 (da)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP15002194.7A EP3121622B1 (en) 2015-07-24 2015-07-24 Method of predicting parameters of a geological formation

Publications (1)

Publication Number Publication Date
DK3121622T3 true DK3121622T3 (da) 2021-09-13

Family

ID=53761177

Family Applications (2)

Application Number Title Priority Date Filing Date
DK15002194.7T DK3121622T3 (da) 2015-07-24 2015-07-24 Fremgangsmåde til forudsigelse af parametre af en geologisk formation
DKPA201870074A DK201870074A1 (en) 2015-07-24 2018-02-05 Method of predicting parameters of a geological formation

Family Applications After (1)

Application Number Title Priority Date Filing Date
DKPA201870074A DK201870074A1 (en) 2015-07-24 2018-02-05 Method of predicting parameters of a geological formation

Country Status (6)

Country Link
US (1) US10788598B2 (da)
EP (1) EP3121622B1 (da)
CA (1) CA3031218A1 (da)
DK (2) DK3121622T3 (da)
NO (1) NO20180274A1 (da)
WO (1) WO2017016655A1 (da)

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3171203B1 (en) * 2015-11-18 2019-01-02 CGG Services SAS Adaptive ensemble-based method and device for highly-nonlinear problems
US11010513B2 (en) 2017-02-28 2021-05-18 National Technology & Engineering Solutions Of Sandia, Llc Methods and devices for preventing computationally explosive calculations in a computer for model parameters distributed on a hierarchy of geometric simplices
AU2018317320B2 (en) * 2017-08-15 2021-10-21 Exxonmobil Upstream Research Company Reservoir materiality bounds from seismic inversion
CN108873064B (zh) * 2018-03-29 2020-06-09 中国石油天然气股份有限公司 一种岩相概率分布模型的建立方法及系统
FR3081232B1 (fr) * 2018-05-18 2020-10-02 Ifp Energies Now Procede pour la detection d'objets geologiques dans une image sismique
US11454733B2 (en) 2018-11-30 2022-09-27 Chevron U.S.A. Inc. System and method for analysis of subsurface data
CN111736208B (zh) * 2020-06-24 2023-04-07 重庆大学 变权重联合P波和S波初至数据的微震事件Bayes定位方法、系统及介质
CN112016048B (zh) * 2020-07-28 2022-10-18 中交广州航道局有限公司 基于多点地质统计的地质属性预测方法
CN114428294B (zh) * 2020-09-23 2024-08-06 中国石油化工股份有限公司 储层参数统计反演方法、装置、电子设备及存储介质
CN112307541A (zh) * 2020-10-27 2021-02-02 深圳市勘察研究院有限公司 一种城市地下空间岩土信息化综合集成数字交付方法
CN115358285B (zh) * 2022-07-11 2023-06-20 中国地质大学(北京) 待勘测区块关键地质参数的选取方法、装置、及设备
US12436310B2 (en) * 2022-07-15 2025-10-07 Halliburton Energy Services, Inc. Reservoir properties derived using ultra-deep resistivity inversion data
CN115203970B (zh) * 2022-08-03 2023-04-07 中国石油大学(北京) 基于人工智能算法的成岩参数预测模型训练方法和预测方法
WO2024191470A1 (en) * 2023-03-14 2024-09-19 Landmark Graphics Corporation Diffusion modeling based subsurface formation evaluation
CN117437491B (zh) * 2023-12-11 2024-06-14 昆明理工大学 基于扩散模型融合主动学习的深空探测器少样本地质图像类别识别方法
CN118688852B (zh) * 2024-08-26 2024-10-25 湖南省地球物理地球化学调查所 一种地质封碳潜力评价方法
CN118758256B (zh) * 2024-09-09 2024-11-15 威海晨安智慧科技有限公司 一种水工环地质剖面的智能化测量方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8095345B2 (en) * 2009-01-20 2012-01-10 Chevron U.S.A. Inc Stochastic inversion of geophysical data for estimating earth model parameters

Also Published As

Publication number Publication date
WO2017016655A1 (en) 2017-02-02
US10788598B2 (en) 2020-09-29
EP3121622B1 (en) 2021-06-16
US20180372896A1 (en) 2018-12-27
EP3121622A1 (en) 2017-01-25
DK201870074A1 (en) 2018-02-26
NO20180274A1 (en) 2018-02-21
CA3031218A1 (en) 2017-02-02

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