[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/apa/ijbaas/2016p1-5.html
   My bibliography  Save this article

Research Energy Consumption of Well Electric Submersible Pumps for Oil Production

Author

Listed:
  • MARAT I. KHAKIMYANOV

    (Department of Automation of Production Processes, Ufa State Petroleum Technological University, Russia)

  • FANUR F. KHUSAINOV

    (Department of Automation of Production Processes, Ufa State Petroleum Technological University, Russia)

Abstract
Downhole artificial lift is the most energy-intensive process at the oil companies. In the current economic conditions, the oil companies are forced to optimize the power consumption for production processes. To do this, you must have a methodology for calculating the energy consumption of all oil-producing equipment. Energy losses occur in all parts of the electrical submersible pump: in the pump units: submersible motors, electrical cables, transformers and control station.. The authors conducted a study on the impact on the power consumption of various technological and operational parameters. The power loss in the electrical cable depends on its temperature. However, determining the average temperature of the cable is quite a challenge, as the temperature varies with depth of the well, there is a self-heating cable from the current flow, heat transfer through the shell with the well fluid, the fluid is heated, the heat developed operating the pump unit. The dependence of energy on the viscosity of the borehole fluid. It is known that the viscosity of the changing characteristics such as pump pressure, flow and efficiency. The use of a variable frequency drive is one of the main ways to reduce the energy intensity of the mechanized process of oil production. The paper obtained plot of the specific energy consumption of the borehole pump from frequency of the supply voltage. When adjusting the pump performance varies depression and reservoir, respectively, and the oil recovery wells. Therefore, to determine the optimal performance of the pump for the payment by a particular well is problematic. The results of these research can be useful to specialists in the development of the oil-producing enterprises of measures to optimize energy consumption.

Suggested Citation

  • Marat I. Khakimyanov & Fanur F. Khusainov, 2016. "Research Energy Consumption of Well Electric Submersible Pumps for Oil Production," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 2(1), pages 1-5.
    • Handle: RePEc:apa:ijbaas:2016:p:1-5
    DOI: 10.20469/ijbas.2.10001-1
    as

    Download full text from publisher

    File URL: https://kkgpublications.com/business-volume-2-issue-1-article1/
    Download Restriction: no
    File URL: https://kkgpublications.com/wp-content/uploads/2019/04/IJBAS.2.10001-1.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.20469/ijbas.2.10001-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adam R. Brandt, 2011. "Oil Depletion and the Energy Efficiency of Oil Production: The Case of California," Sustainability, MDPI, vol. 3(10), pages 1-22, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wandee Nuansoi & Marin Suntiniyompukdee & Aree Tahlah, 2017. "Rice Production in Rattaphum District, Songkhla Province, Thailand," International Journal of Business and Economic Affairs (IJBEA), Sana N. Maswadeh, vol. 2(1), pages 18-30.
    2. Kuo-Pin Li* & Shieh-Liang Chen & Wen-Hong Chiu & Wen-Cheng Lu, 2019. "Strategies of Reduce Customer’s No-show Probability at Restaurants," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(1), pages 145-152, 01-2019.
    3. Vicente E. Montano & Rosalia T. Gabronino & Restie E. Torres, 2019. "The curious relationship between agricultural and energy price index: A Vector Error Correction Model (VECM) analysis approach," Journal of Administrative and Business Studies, Professor Dr. Usman Raja, vol. 5(3), pages 161-177.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Verma, Aman & Kumar, Amit, 2015. "Life cycle assessment of hydrogen production from underground coal gasification," Applied Energy, Elsevier, vol. 147(C), pages 556-568.
    2. Zhaoyang Kong & Xiucheng Dong & Bo Xu & Rui Li & Qiang Yin & Cuifang Song, 2015. "EROI Analysis for Direct Coal Liquefaction without and with CCS: The Case of the Shenhua DCL Project in China," Energies, MDPI, vol. 8(2), pages 1-22, January.
    3. Lina I. Brand-Correa & Paul E. Brockway & Claire L. Copeland & Timothy J. Foxon & Anne Owen & Peter G. Taylor, 2017. "Developing an Input-Output Based Method to Estimate a National-Level Energy Return on Investment (EROI)," Energies, MDPI, vol. 10(4), pages 1-21, April.
    4. David J. Murphy & Marco Raugei & Michael Carbajales-Dale & Brenda Rubio Estrada, 2022. "Energy Return on Investment of Major Energy Carriers: Review and Harmonization," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    5. Gavenas, Ekaterina & Rosendahl, Knut Einar & Skjerpen, Terje, 2015. "CO2-emissions from Norwegian oil and gas extraction," Energy, Elsevier, vol. 90(P2), pages 1956-1966.
    6. Raj, Ratan & Ghandehariun, Samane & Kumar, Amit & Linwei, Ma, 2016. "A well-to-wire life cycle assessment of Canadian shale gas for electricity generation in China," Energy, Elsevier, vol. 111(C), pages 642-652.
    7. Zaman, Khalid & Mushtaq Khan, Muhammad & Ahmad, Mehboob, 2013. "Factors affecting commercial energy consumption in Pakistan: Progress in energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 107-135.
    8. Raugei, Marco & Sgouridis, Sgouris & Murphy, David & Fthenakis, Vasilis & Frischknecht, Rolf & Breyer, Christian & Bardi, Ugo & Barnhart, Charles & Buckley, Alastair & Carbajales-Dale, Michael & Csala, 2017. "Energy Return on Energy Invested (ERoEI) for photovoltaic solar systems in regions of moderate insolation: A comprehensive response," Energy Policy, Elsevier, vol. 102(C), pages 377-384.
    9. Ke Wang & Harrie Vredenburg & Jianliang Wang & Yi Xiong & Lianyong Feng, 2017. "Energy Return on Investment of Canadian Oil Sands Extraction from 2009 to 2015," Energies, MDPI, vol. 10(5), pages 1-13, May.
    10. Delannoy, Louis & Longaretti, Pierre-Yves & Murphy, David J. & Prados, Emmanuel, 2021. "Peak oil and the low-carbon energy transition: A net-energy perspective," Applied Energy, Elsevier, vol. 304(C).
    11. Chen, Xuejun & Lu, Hailong & Gu, Lijuan & Shang, Shilong & Zhang, Yi & Huang, Xin & Zhang, Le, 2022. "Preliminary evaluation of the economic potential of the technologies for gas hydrate exploitation," Energy, Elsevier, vol. 243(C).
    12. Rahman, Md Mustafizur & Canter, Christina & Kumar, Amit, 2014. "Greenhouse gas emissions from recovery of various North American conventional crudes," Energy, Elsevier, vol. 74(C), pages 607-617.
    13. Umberto Lucia & Giulia Grisolia, 2018. "Cyanobacteria and Microalgae : Thermoeconomic Considerations in Biofuel Production," Energies, MDPI, vol. 11(1), pages 1-16, January.
    14. Brandt, Adam R. & Dale, Michael & Barnhart, Charles J., 2013. "Calculating systems-scale energy efficiency and net energy returns: A bottom-up matrix-based approach," Energy, Elsevier, vol. 62(C), pages 235-247.
    15. Manfroni, Michele & Bukkens, Sandra G.F. & Giampietro, Mario, 2021. "The declining performance of the oil sector: Implications for global climate change mitigation," Applied Energy, Elsevier, vol. 298(C).
    16. Fizaine, Florian & Court, Victor, 2015. "Renewable electricity producing technologies and metal depletion: A sensitivity analysis using the EROI," Ecological Economics, Elsevier, vol. 110(C), pages 106-118.
    17. Adam R. Brandt, 2017. "How Does Energy Resource Depletion Affect Prosperity? Mathematics of a Minimum Energy Return on Investment (EROI)," Biophysical Economics and Resource Quality, Springer, vol. 2(1), pages 1-12, March.
    18. David Grassian & Daniel Olsen, 2019. "Lifecycle Energy Accounting of Three Small Offshore Oil Fields," Energies, MDPI, vol. 12(14), pages 1-23, July.
    19. Leena Grandell & Charles A.S. Hall & Mikael Höök, 2011. "Energy Return on Investment for Norwegian Oil and Gas from 1991 to 2008," Sustainability, MDPI, vol. 3(11), pages 1-21, October.
    20. Florian Fizaine & Victor Court, 2014. "Energy transition toward renewables and metal depletion: an approach through the EROI concept," Working Papers 1407, Chaire Economie du climat.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:apa:ijbaas:2016:p:1-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Professor Dr. Bahaudin G. Mujtaba (email available below). General contact details of provider: https://kkgpublications.com/business/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.