IDEAS home Printed from https://ideas.repec.org/a/gam/jresou/v9y2020i11p130-d440659.html
   My bibliography  Save this article

Powering Multiple Gas Condensate Wells in Russia’s Arctic: Power Supply Systems Based on Renewable Energy Sources

Author

Listed:
  • Gennadiy Stroykov

    (Organization and Management Department, Saint-Petersburg Mining University, 21 Line, 2, 199106 St. Petersburg, Russia)

  • Alexey Y. Cherepovitsyn

    (Organization and Management Department, Saint-Petersburg Mining University, 21 Line, 2, 199106 St. Petersburg, Russia)

  • Elizaveta A. Iamshchikova

    (Petroleum Economics and Management, IFP School, 232 Avenue Napoléon Bonaparte, 92852 Rueil-Malmaison, France)

Abstract

Using renewable energy off-grid power supply and choosing the right equipment that meets the operating conditions in the Arctic can provide companies with reliable power sources for producing gas at facilities located in remote areas and will reduce capital and operating costs associated with the construction of power transmission lines. For more than 15 years, a remote control system powered by renewable energy has been used in parallel with power transmission lines by Gazprom to operate its multiwell pads in Russia’s Far North, which validates the relevance of this study. The subject of the study is a group of gas condensate wells that consists of four multiwell pads operated by Wintershall Russland GmbH. The article discusses a stand-alone renewable-based power system as an option for powering remote oil and gas production facilities. The procedures used in the study include calculating such parameters as power output and power consumption, choosing equipment, describing the design features of a power supply system for a multiwell pad, conducting an economic assessment of the project, comparing different power supply options, analyzing project risks, and developing measures to mitigate these risks.

Suggested Citation

  • Gennadiy Stroykov & Alexey Y. Cherepovitsyn & Elizaveta A. Iamshchikova, 2020. "Powering Multiple Gas Condensate Wells in Russia’s Arctic: Power Supply Systems Based on Renewable Energy Sources," Resources, MDPI, vol. 9(11), pages 1-15, November.
    • Handle: RePEc:gam:jresou:v:9:y:2020:i:11:p:130-:d:440659
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2079-9276/9/11/130/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2079-9276/9/11/130/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Escalante Soberanis, M.A. & Mithrush, T. & Bassam, A. & Mérida, W., 2018. "A sensitivity analysis to determine technical and economic feasibility of energy storage systems implementation: A flow battery case study," Renewable Energy, Elsevier, vol. 115(C), pages 547-557.
    2. M. Kruk & A. Semenov & A. Cherepovitsyn & A. Nikulina, 2018. "Environmental and Economic Damage from the Development of Oil and Gas Fields in the Arctic Shelf of the Russian Federation," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 423-433.
    3. Elvir Akhmetshin & Sergey Zhiltsov & Anna Dmitrieva & Andrei Plotnikov & Angelina Kolomeytseva, 2019. "The Formation of the Contemporary Renewable Energy Sector and its Role in the Industry Development," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 373-378.
    4. Mikhail Kozhevnikov & Lazar Gitelman & Elena Magaril & Romen Magaril & Alexandra Aristova, 2017. "Risk Reduction Methods for Managing the Development of Regional Electric Power Industry," Sustainability, MDPI, vol. 9(12), pages 1-14, November.
    5. Abbassi, Abdelkader & Abbassi, Rabeh & Heidari, Ali Asghar & Oliva, Diego & Chen, Huiling & Habib, Arslan & Jemli, Mohamed & Wang, Mingjing, 2020. "Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach," Energy, Elsevier, vol. 198(C).
    6. Natalia Romasheva & Alina Ilinova, 2019. "CCS Projects: How Regulatory Framework Influences Their Deployment," Resources, MDPI, vol. 8(4), pages 1-19, December.
    7. Nam, KiJeon & Hwangbo, Soonho & Yoo, ChangKyoo, 2020. "A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    8. Hongli Zhang & Lei Shen & Shuai Zhong & Ayman Elshkaki, 2020. "Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    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. Oksana Marinina & Anna Nechitailo & Gennady Stroykov & Anna Tsvetkova & Ekaterina Reshneva & Liudmila Turovskaya, 2023. "Technical and Economic Assessment of Energy Efficiency of Electrification of Hydrocarbon Production Facilities in Underdeveloped Areas," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    2. Natalya Romasheva & Alina Cherepovitsyna, 2023. "Renewable Energy Sources in Decarbonization: The Case of Foreign and Russian Oil and Gas Companies," Sustainability, MDPI, vol. 15(9), pages 1-26, April.

    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. Ekaterina Samylovskaya & Regina-Elizaveta Kudryavtseva & Dmitriy Medvedev & Sergey Grinyaev & Alfred Nordmann, 2020. "Transformation of the Personnel Training System for Oil and Gas Projects in the Russian Arctic," Resources, MDPI, vol. 9(11), pages 1-20, November.
    2. Lim, Juin Yau & Safder, Usman & How, Bing Shen & Ifaei, Pouya & Yoo, Chang Kyoo, 2021. "Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model," Applied Energy, Elsevier, vol. 283(C).
    3. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    4. Wanbei Jiang & Weidong Liu, 2020. "Provincial-Level CO 2 Emissions Intensity Inequality in China: Regional Source and Explanatory Factors of Interregional and Intraregional Inequalities," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    5. Saima Akhtar & Sulman Shahzad & Asad Zaheer & Hafiz Sami Ullah & Heybet Kilic & Radomir Gono & Michał Jasiński & Zbigniew Leonowicz, 2023. "Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead," Energies, MDPI, vol. 16(10), pages 1-29, May.
    6. Norouzi, Mohammadali & Aghaei, Jamshid & Niknam, Taher & Alipour, Mohammadali & Pirouzi, Sasan & Lehtonen, Matti, 2023. "Risk-averse and flexi-intelligent scheduling of microgrids based on hybrid Boltzmann machines and cascade neural network forecasting," Applied Energy, Elsevier, vol. 348(C).
    7. Gustavo G. Koch & Caio R. D. Osório & Ricardo C. L. F. Oliveira & Vinícius F. Montagner, 2023. "Robust Control Based on Observed States Designed by Means of Linear Matrix Inequalities for Grid-Connected Converters," Energies, MDPI, vol. 16(4), pages 1-24, February.
    8. Ahmed Ginidi & Sherif M. Ghoneim & Abdallah Elsayed & Ragab El-Sehiemy & Abdullah Shaheen & Attia El-Fergany, 2021. "Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    9. Lee, Yoonjae & Ha, Byeongmin & Hwangbo, Soonho, 2022. "Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy," Renewable Energy, Elsevier, vol. 200(C), pages 69-87.
    10. Mohamed Abdel-Basset & Reda Mohamed & Ripon K. Chakrabortty & Michael J. Ryan & Attia El-Fergany, 2021. "An Improved Artificial Jellyfish Search Optimizer for Parameter Identification of Photovoltaic Models," Energies, MDPI, vol. 14(7), pages 1-33, March.
    11. Hwangbo, Soonho & Heo, SungKu & Yoo, ChangKyoo, 2022. "Development of deterministic-stochastic model to integrate variable renewable energy-driven electricity and large-scale utility networks: Towards decarbonization petrochemical industry," Energy, Elsevier, vol. 238(PC).
    12. Kim, SangYoun & Heo, SungKu & Nam, KiJeon & Woo, TaeYong & Yoo, ChangKyoo, 2023. "Flexible renewable energy planning based on multi-step forecasting of interregional electricity supply and demand: Graph-enhanced AI approach," Energy, Elsevier, vol. 282(C).
    13. Yugang He, 2024. "Evaluating Environmental Sustainability: The Role of Agriculture and Renewable Energy in South Korea," Agriculture, MDPI, vol. 14(9), pages 1-18, September.
    14. Fang Wan & Jizu Li, 2023. "Responsibility Allocation of Provincial Industry Emission Reduction from the Perspective of Industrial Linkages—A Case Study of Shanxi Province," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    15. Zhang, Chao & Fan, Yupeng & Fang, Chuanglin, 2024. "Orderly and synergistic development of urban-rural integration based on evolutionary game model: A case study in the Jiangxi Province, China," Land Use Policy, Elsevier, vol. 146(C).
    16. Ifaei, Pouya & Tayerani Charmchi, Amir Saman & Loy-Benitez, Jorge & Yang, Rebecca Jing & Yoo, ChangKyoo, 2022. "A data-driven analytical roadmap to a sustainable 2030 in South Korea based on optimal renewable microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    17. Sabarathinam Srinivasan & Suresh Kumarasamy & Zacharias E. Andreadakis & Pedro G. Lind, 2023. "Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey," Energies, MDPI, vol. 16(14), pages 1-56, July.
    18. Nam, KiJeon & Heo, SungKu & Li, Qian & Loy-Benitez, Jorge & Kim, MinJeong & Park, DuckShin & Yoo, ChangKyoo, 2020. "A proactive energy-efficient optimal ventilation system using artificial intelligent techniques under outdoor air quality conditions," Applied Energy, Elsevier, vol. 266(C).
    19. Ba-Alawi, Abdulrahman H. & Nguyen, Hai-Tra & Yoo, ChangKyoo, 2024. "Coordinated operation for a resilient and green energy-water supply system: A co-optimization approach with flexible strategies," Energy, Elsevier, vol. 304(C).
    20. Gbalimene Richard Ileberi & Pu Li, 2023. "Integrating Hydrokinetic Energy into Hybrid Renewable Energy System: Optimal Design and Comparative Analysis," Energies, MDPI, vol. 16(8), pages 1-28, April.

    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:gam:jresou:v:9:y:2020:i:11:p:130-:d:440659. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.