GB201904800D0 - Automated mutual improvement of oilfield models - Google Patents

Automated mutual improvement of oilfield models

Info

Publication number
GB201904800D0
GB201904800D0 GBGB1904800.8A GB201904800A GB201904800D0 GB 201904800 D0 GB201904800 D0 GB 201904800D0 GB 201904800 A GB201904800 A GB 201904800A GB 201904800 D0 GB201904800 D0 GB 201904800D0
Authority
GB
United Kingdom
Prior art keywords
mutual improvement
automated
oilfield
models
oilfield models
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
GBGB1904800.8A
Other versions
GB2571841B (en
GB2571841A (en
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Landmark Graphics Corp
Original Assignee
Landmark Graphics Corp
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 Landmark Graphics Corp filed Critical Landmark Graphics Corp
Publication of GB201904800D0 publication Critical patent/GB201904800D0/en
Publication of GB2571841A publication Critical patent/GB2571841A/en
Application granted granted Critical
Publication of GB2571841B publication Critical patent/GB2571841B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/20—Computer models or simulations, e.g. for reservoirs under production, drill bits
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Fluid Mechanics (AREA)
  • General Engineering & Computer Science (AREA)
  • Geometry (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Analysis (AREA)
  • Computing Systems (AREA)
  • Algebra (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)
  • Heating, Cooling, Or Curing Plastics Or The Like In General (AREA)
  • Operations Research (AREA)
  • Physical Or Chemical Processes And Apparatus (AREA)
GB1904800.8A 2016-12-07 2017-04-27 Automated mutual improvement of oilfield models Active GB2571841B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662431359P 2016-12-07 2016-12-07
PCT/US2017/029765 WO2018106279A1 (en) 2016-12-07 2017-04-27 Automated mutual improvement of oilfield models

Publications (3)

Publication Number Publication Date
GB201904800D0 true GB201904800D0 (en) 2019-05-22
GB2571841A GB2571841A (en) 2019-09-11
GB2571841B GB2571841B (en) 2021-07-21

Family

ID=62491650

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1904800.8A Active GB2571841B (en) 2016-12-07 2017-04-27 Automated mutual improvement of oilfield models

Country Status (6)

Country Link
US (1) US20190323323A1 (en)
AU (1) AU2017371672A1 (en)
CA (1) CA3039475C (en)
GB (1) GB2571841B (en)
NO (1) NO20190417A1 (en)
WO (1) WO2018106279A1 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NO20210068A1 (en) 2018-08-20 2021-01-19 Landmark Graphics Corp Hybrid physics-based and machine learning models for reservoir simulations
US11693141B2 (en) 2018-12-06 2023-07-04 Halliburton Energy Services, Inc. Methods and systems for processing borehole dispersive waves with a physics-based machine learning analysis
US20200182038A1 (en) * 2018-12-10 2020-06-11 National Oilwell Varco, L.P. High-speed analytics and virtualization engine
WO2021226126A1 (en) * 2020-05-06 2021-11-11 Schlumberger Technology Corporation Intelligent time-stepping for numerical simulations
US11231520B2 (en) 2020-05-06 2022-01-25 Saudi Arabian Oil Company Dynamic hydrocarbon well skin modeling and operation
US11692415B2 (en) 2020-06-22 2023-07-04 Saudi Arabian Oil Company Hydrocarbon well stimulation based on skin profiles
US20230082520A1 (en) * 2021-09-02 2023-03-16 Schlumberger Technology Corporation Hybrid neural network for drilling anomaly detection
US20230114088A1 (en) * 2021-10-08 2023-04-13 Aramco Innovations LLC Data-driven model for control and optimization of hydrocarbon production

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8612194B2 (en) * 2007-08-08 2013-12-17 Westerngeco L.L.C. Updating a subterranean model using at least electromagnetic data
AU2009322864B2 (en) * 2008-12-03 2012-05-24 Halliburton Energy Services, Inc. Signal propagation across gaps
AU2011362604B2 (en) * 2011-03-11 2014-07-03 Landmark Graphics Corporation Methods and systems of estimating formation parameters
US20170096889A1 (en) * 2014-03-28 2017-04-06 Schlumberger Technology Corporation System and method for automation of detection of stress patterns and equipment failures in hydrocarbon extraction and production
WO2016057030A1 (en) * 2014-10-08 2016-04-14 Landmark Graphics Corporation Predicting temperature-cycling-induced downhole tool failure
AU2014409112B2 (en) * 2014-10-17 2019-09-26 Landmark Graphics Corporation Casing wear prediction using integrated physics-driven and data-driven models

Also Published As

Publication number Publication date
CA3039475C (en) 2022-08-09
GB2571841B (en) 2021-07-21
AU2017371672A1 (en) 2019-04-18
WO2018106279A1 (en) 2018-06-14
GB2571841A (en) 2019-09-11
NO20190417A1 (en) 2019-03-27
CA3039475A1 (en) 2018-06-14
US20190323323A1 (en) 2019-10-24

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