IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i24p4631-d294796.html
   My bibliography  Save this article

Benefit–Cost and Energy Efficiency Index to Support the Screening of Hybrid Cyclic Steam Stimulation Methods

Author

Listed:
  • Laura Osma

    (Petroleum Engineer School, Universidad Industrial de Santander, Bucaramanga 680002, Colombia)

  • Luis García

    (Petroleum Engineer School, Universidad Industrial de Santander, Bucaramanga 680002, Colombia)

  • Romel Pérez

    (Instituto Colombiano del Petróleo/Ecopetrol, Piedecuesta 681011, Colombia)

  • Carolina Barbosa

    (Petroleum Engineer School, Universidad Industrial de Santander, Bucaramanga 680002, Colombia)

  • Jesús Botett

    (Petroleum Engineer School, Universidad Industrial de Santander, Bucaramanga 680002, Colombia)

  • Jorge Sandoval

    (Instituto Colombiano del Petróleo/Ecopetrol, Piedecuesta 681011, Colombia)

  • Eduardo Manrique

    (Instituto Colombiano del Petróleo/Ecopetrol, Piedecuesta 681011, Colombia)

Abstract

Most of the evaluations of thermal enhanced oil recovery (EOR) methods in numerical simulations mainly focus on the identification of recovery processes with the greatest potential to increase oil recovery. In some cases, the economic aspects of the EOR methods evaluated are also considered. However, these studies often lack the evaluation of the energy efficiency of the proposed methods as a strategy to support the selection of profitable recovery processes. Therefore, this study aimed to identify the potential of different hybrid cyclic steam stimulation (CSS, with flue gas, foam, nanoparticles, or solvents) methods based on a numerical simulation study using a radial model representative of a large heavy oil reservoir in the Middle Magdalena Basin, Colombia. The simulation results were used to estimate the benefit–cost (B/C) ratios and energy efficiency (EE) indices that can be used to screen and rank the hybrid CSS methods studied. When comparing different hybrid methods, it was found that CSS with nanoparticles or solvents performed better during the first two steam cycles (higher oil saturations). However, CSS with foam and flue gases showed higher incremental oil production (≥3564 bbls or 567 m 3 ) during the sixth steam cycle. Based on an energy cost index (ECI = [(B/C) / EE]), CSS with foam outperformed (ECI ≈ 453) cyclic steam injection with flue gases (ECI ≈ 21) and solvents (ECI ≈ 0.1) evaluated during the sixth steam cycle. The results show that this methodology can be used to guide decision-making to identify hybrid CSS methods that can increase oil recovery in a cost-effective manner and provide an efficient energy balance.

Suggested Citation

  • Laura Osma & Luis García & Romel Pérez & Carolina Barbosa & Jesús Botett & Jorge Sandoval & Eduardo Manrique, 2019. "Benefit–Cost and Energy Efficiency Index to Support the Screening of Hybrid Cyclic Steam Stimulation Methods," Energies, MDPI, vol. 12(24), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4631-:d:294796
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/24/4631/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/24/4631/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dong, Xiaohu & Liu, Huiqing & Chen, Zhangxin & Wu, Keliu & Lu, Ning & Zhang, Qichen, 2019. "Enhanced oil recovery techniques for heavy oil and oilsands reservoirs after steam injection," Applied Energy, Elsevier, vol. 239(C), pages 1190-1211.
    2. Vladimir Alvarado & Eduardo Manrique, 2010. "Enhanced Oil Recovery: An Update Review," Energies, MDPI, vol. 3(9), pages 1-47, August.
    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. Justyna Franc-Dąbrowska & Magdalena Mądra-Sawicka & Anna Milewska, 2021. "Energy Sector Risk and Cost of Capital Assessment—Companies and Investors Perspective," Energies, MDPI, vol. 14(6), pages 1-20, March.
    2. Yao, Yue & Sun, Deqiang & Xu, Jin-Hua & Wang, Bin & Peng, Guohong & Sun, Bingmei, 2023. "Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria," Energy, Elsevier, vol. 278(PB).

    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. Li, Yujie & Zhai, Cheng & Xu, Jizhao & Sun, Yong & Yu, Xu, 2022. "Feasibility investigation of enhanced coalbed methane recovery by steam injection," Energy, Elsevier, vol. 255(C).
    2. Druetta, P. & Raffa, P. & Picchioni, F., 2019. "Chemical enhanced oil recovery and the role of chemical product design," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Xiankang Xin & Yiqiang Li & Gaoming Yu & Weiying Wang & Zhongzhi Zhang & Maolin Zhang & Wenli Ke & Debin Kong & Keliu Wu & Zhangxin Chen, 2017. "Non-Newtonian Flow Characteristics of Heavy Oil in the Bohai Bay Oilfield: Experimental and Simulation Studies," Energies, MDPI, vol. 10(11), pages 1-25, October.
    4. Samin Raziperchikolaee & Ashwin Pasumarti & Srikanta Mishra, 2020. "The effect of natural fractures on CO2 storage performance and oil recovery from CO2 and WAG injection in an Appalachian basin reservoir," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 1098-1114, October.
    5. Anufriev, I.S. & Kopyev, E.P. & Alekseenko, S.V. & Sharypov, O.V. & Vigriyanov, M.S., 2022. "New ecology safe waste-to-energy technology of liquid fuel combustion with superheated steam," Energy, Elsevier, vol. 250(C).
    6. Camilo Andrés Guerrero-Martin & Angie Tatiana Ortega-Ramírez & Paula Alejandra Perilla Rodríguez & Shalom Jireth Reyes López & Laura Estefanía Guerrero-Martin & Raúl Salinas-Silva & Stefanny Camacho-G, 2023. "Analysis of Environmental Sustainability through a Weighting Matrix in the Oil and Gas Industry," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    7. Welkenhuysen, Kris & Rupert, Jort & Compernolle, Tine & Ramirez, Andrea & Swennen, Rudy & Piessens, Kris, 2017. "Considering economic and geological uncertainty in the simulation of realistic investment decisions for CO2-EOR projects in the North Sea," Applied Energy, Elsevier, vol. 185(P1), pages 745-761.
    8. Rui Dias & Paulo Alexandre & Nuno Teixeira & Mariana Chambino, 2023. "Clean Energy Stocks: Resilient Safe Havens in the Volatility of Dirty Cryptocurrencies," Energies, MDPI, vol. 16(13), pages 1-24, July.
    9. Adedapo N. Awolayo & Hemanta K. Sarma & Long X. Nghiem, 2018. "Brine-Dependent Recovery Processes in Carbonate and Sandstone Petroleum Reservoirs: Review of Laboratory-Field Studies, Interfacial Mechanisms and Modeling Attempts," Energies, MDPI, vol. 11(11), pages 1-66, November.
    10. Yao, Yue & Sun, Deqiang & Xu, Jin-Hua & Wang, Bin & Peng, Guohong & Sun, Bingmei, 2023. "Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria," Energy, Elsevier, vol. 278(PB).
    11. Wang, Sen & Qin, Chaoxu & Feng, Qihong & Javadpour, Farzam & Rui, Zhenhua, 2021. "A framework for predicting the production performance of unconventional resources using deep learning," Applied Energy, Elsevier, vol. 295(C).
    12. Mattia Boscherini & Alba Storione & Matteo Minelli & Francesco Miccio & Ferruccio Doghieri, 2023. "New Perspectives on Catalytic Hydrogen Production by the Reforming, Partial Oxidation and Decomposition of Methane and Biogas," Energies, MDPI, vol. 16(17), pages 1-33, September.
    13. Chai, Maojie & Nourozieh, Hossein & Chen, Zhangxin & Yang, Min, 2022. "A semi-compositional approach to model asphaltene precipitation and deposition in solvent-based bitumen recovery processes," Applied Energy, Elsevier, vol. 328(C).
    14. Amjed M. Hassan & Mohamed A. Mahmoud & Abdulaziz A. Al-Majed & Ayman R. Al-Nakhli & Mohammed A. Bataweel & Salaheldin Elkatatny, 2019. "Mitigation of Condensate Banking Using Thermochemical Treatment: Experimental and Analytical Study," Energies, MDPI, vol. 12(5), pages 1-12, February.
    15. Michele Fioretti & Alessandro Iaria & Aljoscha Janssen & Robert K Perrons & Clément Mazet-Sonilhac, 2022. "Innovation Begets Innovation and Concentration: the Case of Upstream Oil & Gas in the North Sea," Working Papers hal-03791971, HAL.
    16. Sayed Ameenuddin Irfan & Afza Shafie & Noorhana Yahya & Nooraini Zainuddin, 2019. "Mathematical Modeling and Simulation of Nanoparticle-Assisted Enhanced Oil Recovery—A Review," Energies, MDPI, vol. 12(8), pages 1-19, April.
    17. Zhou, Guangzhao & Guo, Zanquan & Sun, Simin & Jin, Qingsheng, 2023. "A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction," Applied Energy, Elsevier, vol. 344(C).
    18. Bai, Mingxing & Zhang, Zhichao & Cui, Xiaona & Song, Kaoping, 2017. "Studies of injection parameters for chemical flooding in carbonate reservoirs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1464-1471.
    19. Yu, Peng, 2022. "Posterior probability-based hydraulic unit division and prediction: A case study," Energy, Elsevier, vol. 246(C).
    20. Simon P. Philbin, 2020. "Critical Analysis and Evaluation of the Technology Pathways for Carbon Capture and Utilization," Clean Technol., MDPI, vol. 2(4), pages 1-21, December.

    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:jeners:v:12:y:2019:i:24:p:4631-:d:294796. 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.