MX2023000950A - Gestion de inyeccion de agua de pozos de produccion. - Google Patents

Gestion de inyeccion de agua de pozos de produccion.

Info

Publication number
MX2023000950A
MX2023000950A MX2023000950A MX2023000950A MX2023000950A MX 2023000950 A MX2023000950 A MX 2023000950A MX 2023000950 A MX2023000950 A MX 2023000950A MX 2023000950 A MX2023000950 A MX 2023000950A MX 2023000950 A MX2023000950 A MX 2023000950A
Authority
MX
Mexico
Prior art keywords
reservoir
production rate
model
rate
water injection
Prior art date
Application number
MX2023000950A
Other languages
English (en)
Inventor
Amir Hossein Delgoshaie
Haghighi Mehdi Maasoumy
Riyad Sabir Muradov
Sina Khoshfetratpakazad
Henrik Ohlsson
Philippe Ivan S Wellens
Original Assignee
C3 Ai 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 C3 Ai Inc filed Critical C3 Ai Inc
Publication of MX2023000950A publication Critical patent/MX2023000950A/es

Links

Classifications

    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK 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
    • E21B49/008—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 by injection test; by analysing pressure variations in an injection or production test, e.g. for estimating the skin factor
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/16—Enhanced recovery methods for obtaining hydrocarbons
    • E21B43/20—Displacing by water
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK 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 OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK 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 OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK 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
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
    • 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
    • G01V2210/66—Subsurface modeling
    • G01V2210/663—Modeling production-induced effects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/84—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

Landscapes

  • Geology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • Physics & Mathematics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Feedback Control In General (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Physical Or Chemical Processes And Apparatus (AREA)

Abstract

Un método de gestión de inyección de agua para yacimientos que tienen pozos de producción que contienen hidrocarburos, incluidos pozos inyectores. Un modelo de yacimiento tiene parámetros de modelo en una relación matemática que relaciona una tasa de inyección de agua con una tasa de producción total del pozo de producción que incluye al menos una tasa de producción de hidrocarburos y una tasa de producción de agua. Un solucionador implementa la diferenciación automática utilizando datos de entrenamiento con respecto al yacimiento, incluidos datos operativos que incluyen sensores recientes y/o datos históricos para la tasa de inyección de agua y la tasa de producción de hidrocarburos, y restricciones para los parámetros del modelo. El solucionador resuelve el modelo de yacimiento para identificar valores o distribuciones de valores para los parámetros del modelo a fin de proporcionar un modelo de yacimiento entrenado. El modelo de yacimiento entrenado utiliza programas de inyección de agua para el pozo inyector a fin de generar predicciones para la tasa de producción total.
MX2023000950A 2020-07-22 2021-07-21 Gestion de inyeccion de agua de pozos de produccion. MX2023000950A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202063054991P 2020-07-22 2020-07-22
PCT/US2021/042608 WO2022020495A1 (en) 2020-07-22 2021-07-21 Waterflood management of production wells

Publications (1)

Publication Number Publication Date
MX2023000950A true MX2023000950A (es) 2023-02-22

Family

ID=79687952

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023000950A MX2023000950A (es) 2020-07-22 2021-07-21 Gestion de inyeccion de agua de pozos de produccion.

Country Status (6)

Country Link
US (1) US12078061B2 (es)
EP (1) EP4185900A4 (es)
AU (1) AU2021314161A1 (es)
CA (1) CA3184026A1 (es)
MX (1) MX2023000950A (es)
WO (1) WO2022020495A1 (es)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11921256B2 (en) * 2021-03-31 2024-03-05 Chevron U.S.A. Inc. Neural ordinary differential equation network for reservoir modeling
US20240013120A1 (en) * 2022-07-08 2024-01-11 Saudi Arabian Oil Company Development of potential readiness advisory tool (prat)
CN117703325B (zh) * 2024-02-06 2024-05-07 西安思坦仪器股份有限公司 油田波码分注注水地面控制系统

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6799117B1 (en) * 2003-05-28 2004-09-28 Halliburton Energy Services, Inc. Predicting sample quality real time
US7584081B2 (en) 2005-11-21 2009-09-01 Chevron U.S.A. Inc. Method, system and apparatus for real-time reservoir model updating using ensemble kalman filter
US20130245952A1 (en) 2012-01-13 2013-09-19 University Of Southern California System and method for characterizing a flow property of a production well site in a reservoir
US20210165938A1 (en) * 2017-12-14 2021-06-03 Schlumberger Technology Corporation System and Method for Simulating Reservoir Models
CA3037543C (en) 2018-03-21 2023-09-26 ResFrac Corporation Systems and methods for hydraulic fracture and reservoir simulation
US10975668B2 (en) * 2018-03-29 2021-04-13 Ge Inspection Technologies, Lp Rapid steam allocation management and optimization for oil sands
US12050981B2 (en) * 2018-05-15 2024-07-30 Landmark Graphics Corporation Petroleum reservoir behavior prediction using a proxy flow model

Also Published As

Publication number Publication date
EP4185900A4 (en) 2024-08-07
US20220025765A1 (en) 2022-01-27
US12078061B2 (en) 2024-09-03
EP4185900A1 (en) 2023-05-31
CA3184026A1 (en) 2022-01-27
WO2022020495A1 (en) 2022-01-27
AU2021314161A1 (en) 2023-02-02

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