WO2014039463A1 - Surveillance et diagnostics pilotés par des modèles - Google Patents

Surveillance et diagnostics pilotés par des modèles Download PDF

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Publication number
WO2014039463A1
WO2014039463A1 PCT/US2013/057901 US2013057901W WO2014039463A1 WO 2014039463 A1 WO2014039463 A1 WO 2014039463A1 US 2013057901 W US2013057901 W US 2013057901W WO 2014039463 A1 WO2014039463 A1 WO 2014039463A1
Authority
WO
WIPO (PCT)
Prior art keywords
root causes
classifier
downhole pump
hydrocarbon production
root
Prior art date
Application number
PCT/US2013/057901
Other languages
English (en)
Inventor
David John ROSSI
Richard Torrens
Zaki ALI
Original Assignee
Schlumberger Canada Limited
Services Petroliers Schlumberger
Schlumberger Holdings Limited
Schlumberger Technology B.V.
Prad Research And Development Limited
Schlumberger Technology Corporation
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 Schlumberger Canada Limited, Services Petroliers Schlumberger, Schlumberger Holdings Limited, Schlumberger Technology B.V., Prad Research And Development Limited, Schlumberger Technology Corporation filed Critical Schlumberger Canada Limited
Priority to EP13835507.8A priority Critical patent/EP2893378B1/fr
Priority to CA2883572A priority patent/CA2883572A1/fr
Publication of WO2014039463A1 publication Critical patent/WO2014039463A1/fr

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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
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • 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

Definitions

  • the statistical classifier is a Bayesian classifier and classification probability is generated at least in part based on previous classification probabilities. For example, the Bayesian classifier obtains previous surveillance data at a previous time and analyzes the previous surveillance data to generate a previous classification probability associated with each of the pre-determined root causes. Subsequently, the Bayesian classifier obtains the surveillance data at a current time and updates the previous classification probabilities based on the surveillance data.
  • FIGS. 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, and 3.7 depict an example of model-driven surveillance and diagnostics in accordance with one or more embodiments.
  • the example depicted in FIGS. 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, and 3.7 is practiced using the model-driven surveillance and diagnostics computer system (208) described above.
  • the example depicted in FIGS. 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, and 3.7 relates to the representative production system shown in FIG. 1.1, with the following example parameters:
  • the example shown in FIGS. 3.1-3.6 above describes a method to solve the "inverse problem" of observing online measurements ⁇ i.e., continuous field measurements) such as pressures and flow rates in an oil and gas production system, and determining directly the likelihood of the root cause for the observations.
  • the method is based on pre-defining a catalog of root cause scenarios, such as flow line blockage, well blockage, and inflow issues.
  • the method continually re-calculates the probability that each competing scenario is the true explanation for the noisy measured data, using Bayesian updating to compute the scenario posterior probabilities.
  • Embodiments of model-driven surveillance and diagnostics may be implemented on virtually any type of computing system regardless of the platform being used.
  • the computing system may be one or more mobile devices (e.g., laptop computer, smart phone, personal digital assistant, tablet computer, or other mobile device), desktop computers, servers, blades in a server chassis, or any other type of computing device or devices that includes at least the minimum processing power, memory, and input and output device(s) to perform one or more embodiments of the invention.
  • mobile devices e.g., laptop computer, smart phone, personal digital assistant, tablet computer, or other mobile device
  • desktop computers e.g., servers, blades in a server chassis, or any other type of computing device or devices that includes at least the minimum processing power, memory, and input and output device(s) to perform one or more embodiments of the invention.

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  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

L'invention a pour objet d'effectuer un diagnostic de la production d'hydrocarbures sur un champ, ce qui comprend les étapes consistant à générer un modèle thermohydraulique du système de production d'un site de puits et d'une installation de surface sur le champ, et à simuler, à l'aide du modèle thermohydraulique du système de production et sur la base de causes profondes multiples, un problème de production d'hydrocarbures pour générer des vecteurs de caractéristiques correspondant aux causes profondes. Chacun des vecteurs de caractéristiques comprend des valeurs de paramètres correspondant à des paramètres physiques associés à la production d'hydrocarbures. La réalisation du diagnostic comprend en outre les étapes consistant à configurer, en utilisant les vecteurs de caractéristiques, un classificateur du problème de production d'hydrocarbures, à détecter le problème de production d'hydrocarbures sur le champ, à analyser, à l'aide du classificateur et en réaction à la détection du problème de production d'hydrocarbures, des données de surveillance provenant du site de puits et de l'installation de surface pour identifier une cause profonde, et à présenter la cause profonde à un utilisateur. Le classificateur est configuré pour classifier le problème de production d'hydrocarbures en fonction des causes profondes.
PCT/US2013/057901 2012-09-04 2013-09-04 Surveillance et diagnostics pilotés par des modèles WO2014039463A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP13835507.8A EP2893378B1 (fr) 2012-09-04 2013-09-04 Surveillance et diagnostics pilotés par des modèles
CA2883572A CA2883572A1 (fr) 2012-09-04 2013-09-04 Surveillance et diagnostics pilotes par des modeles

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201261696580P 2012-09-04 2012-09-04
US61/696,580 2012-09-04
US14/016,420 US20140180658A1 (en) 2012-09-04 2013-09-03 Model-driven surveillance and diagnostics
US14/016,420 2013-09-03

Publications (1)

Publication Number Publication Date
WO2014039463A1 true WO2014039463A1 (fr) 2014-03-13

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Family Applications (1)

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PCT/US2013/057901 WO2014039463A1 (fr) 2012-09-04 2013-09-04 Surveillance et diagnostics pilotés par des modèles

Country Status (4)

Country Link
US (1) US20140180658A1 (fr)
EP (1) EP2893378B1 (fr)
CA (1) CA2883572A1 (fr)
WO (1) WO2014039463A1 (fr)

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WO2016133399A1 (fr) * 2015-02-20 2016-08-25 Production Monitoring As Surveillance de production - modèle paramétrique semi permanent dynamique multi-volumique
WO2019132975A1 (fr) * 2017-12-29 2019-07-04 Halliburton Energy Services, Inc. Systèmes et procédés d'utilisation de capteurs pour fournir une solution spatiale dans une détection de fuite de fond de trou
WO2022234020A1 (fr) * 2021-05-07 2022-11-10 Shell Internationale Research Maatschappij B.V. Procédé et système de prédiction d'une défaillance de sable dans un puits de production d'hydrocarbures et procédé et système de production de fluides d'hydrocarbures à partir d'une formation terrestre
EP4062030A4 (fr) * 2019-11-21 2022-12-14 ConocoPhillips Company Surveillance de pression d'espace annulaire de puits
US11556882B2 (en) * 2014-08-27 2023-01-17 Sourcewater, Inc. Oilfield water management

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US9112718B2 (en) * 2013-03-15 2015-08-18 Vtrum Group Llc Broadband diagnostics system
DE102014214033A1 (de) * 2014-07-18 2016-01-21 Ksb Aktiengesellschaft Bestimmung des Förderstroms einer Pumpe
US20160210575A1 (en) * 2014-10-27 2016-07-21 Tam M. Vu Energy Builder (EB) Application Software
GB2547852B (en) 2014-12-09 2020-09-09 Sensia Netherlands Bv Electric submersible pump event detection
US10125586B2 (en) * 2016-09-02 2018-11-13 Saudi Arabian Oil Company Controlling hydrocarbon production
CN106200668B (zh) * 2016-09-12 2019-02-22 上海航天控制技术研究所 用于半物理仿真试验的外部循环能源系统及其试验方法
US20190024485A1 (en) * 2017-07-19 2019-01-24 Baker Hughes, A Ge Company, Llc Methods and systems for automated cementing and liner hanging
WO2019222129A1 (fr) 2018-05-14 2019-11-21 Schlumberger Technology Corporation Système et procédé de conseil en matière de production assistés par intelligence artificielle
US12001762B2 (en) 2018-12-21 2024-06-04 ExxonMobil Technology and Engineering Company Method for performing well performance diagnostics
US20210301659A1 (en) * 2020-03-31 2021-09-30 Saudi Arabian Oil Company Automated well productivity estimation and continuous average well pressure monitoring through integration of real-time surface and downhole pressure and temperature measurements
US11248455B2 (en) 2020-04-02 2022-02-15 Saudi Arabian Oil Company Acoustic geosteering in directional drilling
EP4158154A1 (fr) 2020-05-26 2023-04-05 Saudi Arabian Oil Company Détection d'eau pour guidage géologique dans un forage directionnel
WO2021240197A1 (fr) 2020-05-26 2021-12-02 Saudi Arabian Oil Company Guidage géologique dans un forage directionnel
EP4158153A1 (fr) 2020-05-26 2023-04-05 Saudi Arabian Oil Company Mandrin instrumenté pour forage à tube spiralé

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Publication number Priority date Publication date Assignee Title
US11556882B2 (en) * 2014-08-27 2023-01-17 Sourcewater, Inc. Oilfield water management
WO2016133399A1 (fr) * 2015-02-20 2016-08-25 Production Monitoring As Surveillance de production - modèle paramétrique semi permanent dynamique multi-volumique
WO2019132975A1 (fr) * 2017-12-29 2019-07-04 Halliburton Energy Services, Inc. Systèmes et procédés d'utilisation de capteurs pour fournir une solution spatiale dans une détection de fuite de fond de trou
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EP4062030A4 (fr) * 2019-11-21 2022-12-14 ConocoPhillips Company Surveillance de pression d'espace annulaire de puits
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WO2022234020A1 (fr) * 2021-05-07 2022-11-10 Shell Internationale Research Maatschappij B.V. Procédé et système de prédiction d'une défaillance de sable dans un puits de production d'hydrocarbures et procédé et système de production de fluides d'hydrocarbures à partir d'une formation terrestre

Also Published As

Publication number Publication date
EP2893378A4 (fr) 2015-12-23
EP2893378A1 (fr) 2015-07-15
EP2893378B1 (fr) 2018-05-16
US20140180658A1 (en) 2014-06-26
CA2883572A1 (fr) 2014-03-13

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