Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching

The article describes a numerical-analytical model for gas breakthrough to a well during the development of oil fields with a gas cap using horizontal wells. The employed semi-analytical model allows describing the process of gas cone development and reproducing oil and gas production parameters fro...

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Main Authors: Denis V. Shevchenko, Artur A. Salamatin, Airat D. Yarullin, Sergey A. Usmanov, Vladislav V. Savelev, Vladislav A. Sudakov, Alexey P. Roshchektaev, Evgeny V. Yudin, Daniil S. Vorobyev, Valeriya V. Sorokina, Anastasia A. Sveshnikova
Format: Article
Language:English
Published: Georesursy Ltd. 2023-12-01
Series:Georesursy
Subjects:
Online Access:https://geors.ru/archive/article/1294/
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author Denis V. Shevchenko
Artur A. Salamatin
Airat D. Yarullin
Sergey A. Usmanov
Vladislav V. Savelev
Vladislav A. Sudakov
Alexey P. Roshchektaev
Evgeny V. Yudin
Daniil S. Vorobyev
Valeriya V. Sorokina
Anastasia A. Sveshnikova
author_facet Denis V. Shevchenko
Artur A. Salamatin
Airat D. Yarullin
Sergey A. Usmanov
Vladislav V. Savelev
Vladislav A. Sudakov
Alexey P. Roshchektaev
Evgeny V. Yudin
Daniil S. Vorobyev
Valeriya V. Sorokina
Anastasia A. Sveshnikova
author_sort Denis V. Shevchenko
collection DOAJ
description The article describes a numerical-analytical model for gas breakthrough to a well during the development of oil fields with a gas cap using horizontal wells. The employed semi-analytical model allows describing the process of gas cone development and reproducing oil and gas production parameters from the well by matching to the actual production history using several coefficients. The numerical scheme of the model was implemented as a computational library in the Python 3.6 programming language. The algorithm was tested on oil deposits with a gas cap in the South Yamal oil and gas region and showed good results in history matching and forecasting calculations. The average calculation time of one iteration being less than 10 seconds allows for multiple model run scenarios using optimization algorithms for automatic calibration to actual production data. The results of the testing show the possibility of achieving satisfactory convergence using automated calibration to the production history. The developed algorithm reduces the workload of specialists in forecasting production, thereby enhancing the effectiveness of decisions made for development optimization.
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spelling doaj.art-760ff093d0634268831573bad0b2513c2024-01-20T12:50:42ZengGeoresursy Ltd.Georesursy1608-50431608-50782023-12-01254586810.18599/grs.2023.4.10Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching Denis V. Shevchenko0Artur A. Salamatin1Airat D. Yarullin2Sergey A. Usmanov3Vladislav V. Savelev4Vladislav A. Sudakov5Alexey P. Roshchektaev6Evgeny V. Yudin7Daniil S. Vorobyev8Valeriya V. Sorokina9Anastasia A. Sveshnikova10Kazan Innovation University named after V.G. Timiryasov; Kazan Federal UniversityKazan Federal University; IME – Subdivision of FIC KazanSC of RAS Geopy LLCKazan Federal UniversityKazan Federal UniversityKazan Federal UniversityGazprom Neft NTC LLCGazprom Neft NTC LLCGazprom Neft Yamal LLCGazprom Neft NTC LLCGazprom Neft NTC LLCThe article describes a numerical-analytical model for gas breakthrough to a well during the development of oil fields with a gas cap using horizontal wells. The employed semi-analytical model allows describing the process of gas cone development and reproducing oil and gas production parameters from the well by matching to the actual production history using several coefficients. The numerical scheme of the model was implemented as a computational library in the Python 3.6 programming language. The algorithm was tested on oil deposits with a gas cap in the South Yamal oil and gas region and showed good results in history matching and forecasting calculations. The average calculation time of one iteration being less than 10 seconds allows for multiple model run scenarios using optimization algorithms for automatic calibration to actual production data. The results of the testing show the possibility of achieving satisfactory convergence using automated calibration to the production history. The developed algorithm reduces the workload of specialists in forecasting production, thereby enhancing the effectiveness of decisions made for development optimization.https://geors.ru/archive/article/1294/oil fieldgas caphorizontal wellgas-oil ratio
spellingShingle Denis V. Shevchenko
Artur A. Salamatin
Airat D. Yarullin
Sergey A. Usmanov
Vladislav V. Savelev
Vladislav A. Sudakov
Alexey P. Roshchektaev
Evgeny V. Yudin
Daniil S. Vorobyev
Valeriya V. Sorokina
Anastasia A. Sveshnikova
Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching
Georesursy
oil field
gas cap
horizontal well
gas-oil ratio
title Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching
title_full Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching
title_fullStr Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching
title_full_unstemmed Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching
title_short Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching
title_sort numerical analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching
topic oil field
gas cap
horizontal well
gas-oil ratio
url https://geors.ru/archive/article/1294/
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