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Effectiveness research of physical and chemical methods appfication for oil recovery enhancing using the asp for the strutynsky oil field conditions

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of the article is to enhance the oil recovery coefficient of lower Menilite deposits of the Strutynsky oil field by using an ASP solution (a mixture of three agents: alkaline, surfactant and polymer (ASP)). The tasks were solved by choosing an effective method of enhancing oil recovery by using EORgui software and hydrodynamic modelling software by using Petrel, Eclipse software. Calculations of computer simulations indicate the possibility and technological efficiency of residual oil extraction through the use of ASP solution. After using the method of oil recovery enhancing in the lower Menilite deposits of the Strutynsky oil field by means of ASP solution, the coefficient of final oil recovery will increase from the initial value of 10.4% to the predicted 17.6%. For the first time, geological and hydrodynamic models have been created for the conditions of the Lower Menilite deposits of the Strutynsky oil field, and the most appropriate method for oil recovery enhancing by using the EORgui program has been selected. The suggested method for oil recovery enhancing can be applied within the framework of the concept for reviving the Lower Menilithic deposits of the Strutynsky oil field, as well as in other oil fields of Ukraine, which are developed with waterflood patterns and have similar geological and physical characteristics.
Wydawca
Rocznik
Tom
Strony
104--111
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
  • Ivano-Frankivsk National Technical University of Oil and Gas (IFNTUNG), Department of Oil and Gas Extraction, 15, Karpatska Str., 76019, Ivano-Frankivsk, Ukraine
  • Ivano-Frankivsk National Technical University of Oil and Gas (IFNTUNG), Department of Oil and Gas Extraction, 15, Karpatska Str., 76019, Ivano-Frankivsk, Ukraine
  • Ivano-Frankivsk National Technical University of Oil and Gas (IFNTUNG), Technical Engineering Department, 15, Karpatska Str., 76019, Ivano-Frankivsk, Ukraine
autor
  • Ivano-Frankivsk National Technical University of Oil and Gas (IFNTUNG), 15, Karpatska Str., 76019, Ivano-Frankivsk, Ukraine
autor
  • Ivano-Frankivsk National Technical University of Oil and Gas (IFNTUNG), Energy Management and Technical Diagnostics Department; 15, Karpatska Str., 76019, Ivano-Frankivsk, Ukraine
Bibliografia
  • [1] Afanasyev A, Costa A, Chiodini G. Investigation of hydrothermal activity at Campi Flegrei caldera using 3D numerical simulations: extension to high temperature processes. J Volcanology Geoth Res, 2015, pp. 299:68-77.
  • [2] Afanasyev A. Application of the reservoir simulator MUFITS for 3D modelling of CO2 storage in geological formations. Energy Proc., 2013, pp. 365-74.
  • [3] Al-Taq, A.; Nasr-El-Din, H.; Beresky, J.; Naimi K.; Sierra L.; Eoff L. Simultaneous Acid Diversion and Water Control in Carbonate Reservoirs: A Case History from Saudi Arabia (SPE-106951). SPE Reserv. Eval. Eng., vol. 11, 2008, pp. 882-891.
  • [4] Ayirala S., Chin R., Raney K., Verbeek P. Surface and Subsurface Requirements for Successful Implementation of Offshore Chemical Enhanced Oil Recovery. Offshore Technology Conference, Houston, Texas, USA, 2-5 May 2011.
  • [5] Azizi, E.; Cinar, Y. Approximate Analytical Solutions for CO2 Injectivity into Saline Formations (SPE-165575-PA). SPE Reserv. Eval. Eng, vol. 16, 2013, pp. 123-133.
  • [6] Burachok О., Kondrat O. Optimization of Gas-condensate Reservoir EOR Technology under Geological Uncertainties. EAGE IOR 2019, 20th European Symposium on Improved Oil Recovery, Pau, France, Tu P14, 8-11 April 2019, pp. 1- 9.
  • [7] Burachok О., Zeug M. Ranking and Representative Model Selection: Eliminating the Gap Between Static Volumetric and Flow-Based Approaches. International Scientific and Technical Conference “Geopetrol 2018”, Zakopane-Koscielisko, September 17-20, 2018, pp. 927-936.
  • [8] EORgui Help. – 2010. Petroleum Solutions Ltd.
  • [9] Erofeev, A., Ponomarjova I., Turbakov M. Limiting Conditions Evaluation for Processing Methods of Pressure Recovery Curves for Wells in Carbonate Collectors. Pet. Eng, vol. 3, 2011, pp. 12-15.
  • [10] Galkin, S., Ilyushin, P., Turbakov M., Ilyushina K. Influence of Current Fund of Producing Wells while Predicting Dynamics of Water-Flooding of High-Viscous Oil Deposits. Oilfield Eng, vol. 12, 2012, pp. 8-11.
  • [11] Islam A., Sepehrnoori K. A review on SPEs comparative solution projects. J Pet Sci Res; vol. 2(4), 2013, pp. 167-80.
  • [12] Kondrat R., Dremliukh N., Uhrynovskyi A. Study of foam formation process with use of water solutions of foamforming PAIRS and foam stabilizers. Naukovyi visnyk Natsionalnoho hirnychoho universytetu, vol. 3 (159), 2017, pp. 20-26.
  • [13] Kosowski Р., Rychlicki S., Stopa J., Wojnarowski Р. Metody zwiększenia efektywności wydobycia ropy naftowej. Przemysł Naftowy w Polsce, AKNET, Kraków, 2010, pp. 22–36.
  • [14] Moroz L. Ohliad vprovadzhen tekhnolohii z intensyfikatsii vydobuvannia nafty i zbilshennia naftovyluchennia na rodovyshchakh svitu. Naftohazova enerhetyka, Ivano-Frankivsk, vol. 1, 2014, pp. 22-31.
  • [15] Moroz L. Problemy i perspektyvy zastosuvannia metodiv pidvyshchennia naftovyluchennia na rodovyshchakh Peredkarpattia. Rozvidka ta rozrobka naftovykh i hazovykh rodovyshch, Ivano-Frankivsk, vol. 13., 2014, pp. 26-32.
  • [16] Podsobiński D., Stopa J., Wojnarowski P. The use of computer simulations to assess the effectiveness of the revitalization of mature oil fields using the selected reservoir as an example. AGH Drilling, Oil, Gas, 2017, pp. 67-80.
  • [17] Romi A., Burachok O., Nistor M., Spyrou C., Seilov Y., Djuraev O. Advantage of Stochastic Facies Distribution Modeling for History Matching of Multi-stacked Highlyheterogeneous Field of Dnieper-Donetsk Basin. Conference Proceedings, Petroleum Geostatistics 2019, volume 2019, Sep 2019, pp.1-5.
  • [18] Rychlicki S., Stopa J., Uliasz-Misiak B., Zawisza L. Kryteria typowania złóż do zastosowania zaawansowanej metody wydobycia ropy naftowej poprzez zatłaczanie CO2. Gospodarka Surowcami Naturalnymi, vol. 27/3, 2011, pp. 125- 139.
  • [19] Shcherbakov A., Turbakov M., Dvoretskas R. Effectiveness Analysis of Enhanced Oil Recovery of Hard-to-Recover Oil Reserves of Perm Kama Region. Oil Industry, vol. 12, 2012, pp. 97-99.
  • [20] Sheng J. A Comprehensive Review of Alkaline-SurfactantPolymer (ASP) Flooding. SPE Western Regional & AAPG Pacific Section Meeting. Joint Technical Conference, Monterey, California, USA, 19-25 April, 2013.
  • [21] Stopa J. Wojnarowski P., Pyrzak P. Wykorzystanie modelowania komputerowego do prognozowania efektywności eksploatacji złóża ciężkiej ropy metodą cyklicznego zatłaczania pary. Wiertnictwo, Nafta, Gaz, vol. 28, 2011, pp. 521-531.
  • [22] Wojnarowski, P. Potential for Increasing Oil Recovery from Polish Oil-Fields by Applying EOR Methods. In Mineral Resources Management. The Mineral and Energy Economy Research Institute of the Polish Academy of Sciences: Kraków, Poland, vol. 28, 2012, pp. 47-58,.
  • [23] Zhou Y, Jiang Y, Tchelepi H. A scalable multistage linear solver for reservoir models with multisegment wells. Comput Geosci, vol. 17, 2013, pp. 197-216.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a9164db6-778e-4fcb-9e5b-6bca3613f964
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