1. bookVolume 28 (2020): Issue 2 (June 2020)
Journal Details
License
Format
Journal
eISSN
2450-5781
First Published
30 Mar 2017
Publication timeframe
4 times per year
Languages
English
access type Open Access

Effectiveness Research of Physical and Chemical Methods Appfication for Oil Recovery Enhancing Using the ASP for the Strutynsky Oil Field Conditions

Published Online: 26 May 2020
Volume & Issue: Volume 28 (2020) - Issue 2 (June 2020)
Page range: 104 - 111
Received: 01 Jan 2020
Accepted: 01 Mar 2020
Journal Details
License
Format
Journal
eISSN
2450-5781
First Published
30 Mar 2017
Publication timeframe
4 times per year
Languages
English
Abstract

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.

Keywords

[1] Afanasyev A, Costa A, Chiodini G. Investigation of hydro-thermal activity at Campi Flegrei caldera using 3D numerical simulations: extension to high temperature processes. J Volcanology Geoth Res, 2015, pp. 299:68-77.10.1016/j.jvolgeores.2015.04.004Search in Google Scholar

[2] Afanasyev A. Application of the reservoir simulator MUFITS for 3D modelling of CO2 storage in geological formations. Energy Proc., 2013, pp. 365-74.10.1016/j.egypro.2013.08.042Search in Google Scholar

[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. 882-891.10.2118/106951-PASearch in Google Scholar

[4] Ayirala S., Chin R., Raney K., Verbeek P. Surface and Sub-surface Requirements for Successful Implementation of Offshore Chemical Enhanced Oil Recovery. Offshore Technology Conference, Houston, Texas, USA, 2-5 May 2011.Search in Google Scholar

[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. 123-133.10.2118/165575-PASearch in Google Scholar

[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. 1-9.10.3997/2214-4609.201900130Search in Google Scholar

[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.Search in Google Scholar

[8] EORgui Help. – 2010. Petroleum Solutions Ltd.Search in Google Scholar

[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.Search in Google Scholar

[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.Search in Google Scholar

[11] Islam A., Sepehrnoori K. A review on SPEs comparative solution projects. J Pet Sci Res; vol. 2(4), 2013, pp. 167-80.10.14355/jpsr.2013.0204.04Search in Google Scholar

[12] Kondrat R., Dremliukh N., Uhrynovskyi A. Study of foam formation process with use of water solutions of foam-forming PAIRS and foam stabilizers. Naukovyi visnyk Natsionalnoho hirnychoho universytetu, vol. 3 (159), 2017, pp. 20-26.Search in Google Scholar

[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.Search in Google Scholar

[14] Moroz L. Ohliad vprovadzhen tekhnolohii z intensyfikatsii vydobuvannia nafty i zbilshennia naftovyluchennia na rodovyshchakh svitu. Naftohazova enerhetyka, Ivano-Frank-ivsk, vol. 1, 2014, pp. 22-31.Search in Google Scholar

[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.Search in Google Scholar

[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. 67-80.10.7494/drill.2017.34.1.67Search in Google Scholar

[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 Highly-heterogeneous Field of Dnieper-Donetsk Basin. Conference Proceedings, Petroleum Geostatistics 2019, volume 2019, Sep 2019, pp.1-5.10.3997/2214-4609.201902188Search in Google Scholar

[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.Search in Google Scholar

[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.Search in Google Scholar

[20] Sheng J. A Comprehensive Review of Alkaline-Surfactant-Polymer (ASP) Flooding. SPE Western Regional & AAPG Pacific Section Meeting. Joint Technical Conference, Monterey, California, USA, 19-25 April, 2013.10.2118/165358-MSSearch in Google Scholar

[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.Search in Google Scholar

[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,.10.2478/v10269-012-0032-0Search in Google Scholar

[23] Zhou Y, Jiang Y, Tchelepi H. A scalable multistage linear solver for reservoir models with multisegment wells. Comput Geosci, vol. 17, 2013, pp. 197-216.10.1007/s10596-012-9324-0Search in Google Scholar

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