IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i2p292-d128757.html
   My bibliography  Save this article

Data Analytics Techniques for Performance Prediction of Steamflooding in Naturally Fractured Carbonate Reservoirs

Author

Listed:
  • Ali Shafiei

    (Department of Petroleum Engineering, School of Mining and Geosciences, Nazarbayev University, Astana 010000, Kazakhstan)

  • Mohammad Ali Ahmadi

    (Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL A1B3X7, Canada)

  • Maurice B. Dusseault

    (Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G2, Canada)

  • Ali Elkamel

    (Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G2, Canada
    Department of Chemical Engineering, The Petroleum Institute, Khalifa University, Abu Dhabi 51900, UAE)

  • Sohrab Zendehboudi

    (Faculty of Engineering & Applied Science, Memorial University, St. John’s, NL A1B3X7, Canada)

  • Ioannis Chatzis

    (Department of Petroleum Engineering, College of Engineering and Petroleum, Kuwait University, Kuwait City 10002, Kuwait)

Abstract

Thermal oil recovery techniques, including steam processes, account for more than 80% of the current global heavy oil, extra heavy oil, and bitumen production. Evaluation of Naturally Fractured Carbonate Reservoirs (NFCRs) for thermal heavy oil recovery using field pilot tests and exhaustive numerical and analytical modeling is expensive, complex, and personnel-intensive. Robust statistical models have not yet been proposed to predict cumulative steam to oil ratio (CSOR) and recovery factor (RF) during steamflooding in NFCRs as strong process performance indicators. In this paper, new statistical based techniques were developed using multivariable regression analysis for quick estimation of CSOR and RF in NFCRs subjected to steamflooding. The proposed data based models include vital parameters such as in situ fluid and reservoir properties. The data used are taken from experimental studies and rare field trials of vertical well steamflooding pilots in heavy oil NFCRs reported in the literature. The models show an average error of <6% for the worst cases and contain fewer empirical constants compared with existing correlations developed originally for oil sands. The interactions between the parameters were considered indicating that the initial oil saturation and oil viscosity are the most important predictive factors. The proposed models were successfully predicted CSOR and RF for two heavy oil NFCRs. Results of this study can be used for feasibility assessment of steamflooding in NFCRs

Suggested Citation

  • Ali Shafiei & Mohammad Ali Ahmadi & Maurice B. Dusseault & Ali Elkamel & Sohrab Zendehboudi & Ioannis Chatzis, 2018. "Data Analytics Techniques for Performance Prediction of Steamflooding in Naturally Fractured Carbonate Reservoirs," Energies, MDPI, vol. 11(2), pages 1-29, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:292-:d:128757
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/2/292/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/2/292/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matthew Martin, 1997. "Introduction," African Development Review, African Development Bank, vol. 9(1), pages 1-19.
    2. Höök, Mikael & Hirsch, Robert & Aleklett, Kjell, 2009. "Giant oil field decline rates and their influence on world oil production," Energy Policy, Elsevier, vol. 37(6), pages 2262-2272, June.
    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. Xin Luo & Siqi Chen & Jiawei Liu & Fei Li & Liang Feng & Siyao Li & Yonghong Wu & Guanghui Wu & Bin Luo, 2023. "The Fractured Permian Reservoir and Its Significance in the Gas Exploitation in the Sichuan Basin, China," Energies, MDPI, vol. 16(4), pages 1-13, February.

    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. Schmidt, Manfred G., 2001. "Parteien und Staatstätigkeit," Working papers of the ZeS 02/2001, University of Bremen, Centre for Social Policy Research (ZeS).
    2. Warrilow, David, 2015. "A bumpy road to the top: Statistically defining a peak in oil production," Energy Policy, Elsevier, vol. 82(C), pages 81-84.
    3. Bera, Achinta & Babadagli, Tayfun, 2015. "Status of electromagnetic heating for enhanced heavy oil/bitumen recovery and future prospects: A review," Applied Energy, Elsevier, vol. 151(C), pages 206-226.
    4. Leena Grandell & Mikael Höök, 2015. "Assessing Rare Metal Availability Challenges for Solar Energy Technologies," Sustainability, MDPI, vol. 7(9), pages 1-20, August.
    5. Okullo, Samuel J. & Reynès, Frédéric, 2011. "Can reserve additions in mature crude oil provinces attenuate peak oil?," Energy, Elsevier, vol. 36(9), pages 5755-5764.
    6. Sorrell, Steve & Speirs, Jamie & Bentley, Roger & Brandt, Adam & Miller, Richard, 2010. "Global oil depletion: A review of the evidence," Energy Policy, Elsevier, vol. 38(9), pages 5290-5295, September.
    7. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    8. Gálvez, Akemi & Iglesias, Andrés, 2016. "Particle-based meta-model for continuous breakpoint optimization in smooth local-support curve fitting," Applied Mathematics and Computation, Elsevier, vol. 275(C), pages 195-212.
    9. Rezny, Lukas & White, James Buchanan & Maresova, Petra, 2019. "The knowledge economy: Key to sustainable development?," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 291-300.
    10. Alquist, Ron & Guénette, Justin-Damien, 2014. "A blessing in disguise: The implications of high global oil prices for the North American market," Energy Policy, Elsevier, vol. 64(C), pages 49-57.
    11. Krumdieck, Susan & Page, Shannon & Dantas, André, 2010. "Urban form and long-term fuel supply decline: A method to investigate the peak oil risks to essential activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 306-322, June.
    12. Cairns, Robert D. & Calfucura, Enrique, 2012. "OPEC: Market failure or power failure?," Energy Policy, Elsevier, vol. 50(C), pages 570-580.
    13. Höök, Mikael & Fantazzini, Dean & Angelantoni, André & Snowden, Simon, 2013. "Hydrocarbon liquefaction: viability as a peak oil mitigation strategy," MPRA Paper 46957, University Library of Munich, Germany.
    14. David Martin & Sidney Swearingen, 2019. "Improving Environmental Justice Analysis of Urban Tree Ecosystem Services: A Case Study from Asheville, NC," Working Papers 19-01, Davidson College, Department of Economics.
    15. Smith, James L., 2014. "A parsimonious model of tax avoidance and distortions in petroleum exploration and development," Energy Economics, Elsevier, vol. 43(C), pages 140-157.
    16. Fantazzini, Dean & Höök, Mikael & Angelantoni, André, 2011. "Global oil risks in the early 21st century," Energy Policy, Elsevier, vol. 39(12), pages 7865-7873.
    17. World Bank, 2003. "Nicaragua - Poverty Assessment : Raising Welfare and Reducing Vulnerability," World Bank Publications - Reports 14668, The World Bank Group.
    18. Ahmadi, Mohammadali & Hou, Qingfeng & Wang, Yuanyuan & Lei, Xuantong & Liu, Benjieming & Chen, Zhangxin, 2023. "Spotlight on reversible emulsification and demulsification of tetradecane-water mixtures using CO2/N2 switchable surfactants: Molecular dynamics (MD) simulation," Energy, Elsevier, vol. 279(C).
    19. Nida Çakır Melek, 2015. "What could lower prices mean for U.S. oil production?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 51-69.
    20. Hunt, Julian David & Nascimento, Andreas & Nascimento, Nazem & Vieira, Lara Werncke & Romero, Oldrich Joel, 2022. "Possible pathways for oil and gas companies in a sustainable future: From the perspective of a hydrogen economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).

    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:11:y:2018:i:2:p:292-:d:128757. 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.