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Cloud computing in the upstream oil & gas industry: A proposed way forward

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  • Perrons, Robert K.
  • Hems, Adam

Abstract

Despite the compelling case for moving towards cloud computing, the upstream oil & gas industry faces several technical challenges—most notably, a pronounced emphasis on data security, a reliance on extremely large data sets, and significant legacy investments in information technology infrastructure—that make a full migration to the public cloud difficult at present. Private and hybrid cloud solutions have consequently emerged within the industry to yield as much benefit from cloud-based technologies as possible while working within these constraints. This paper argues, however, that the move to private and hybrid clouds will very likely prove only to be a temporary stepping stone in the industry's technological evolution. By presenting evidence from other market sectors that have faced similar challenges in their journey to the cloud, we propose that enabling technologies and conditions will probably fall into place in a way that makes the public cloud a far more attractive option for the upstream oil & gas industry in the years ahead. The paper concludes with a discussion about the implications of this projected shift towards the public cloud, and calls for more of the industry's services to be offered through cloud-based “apps.”

Suggested Citation

  • Perrons, Robert K. & Hems, Adam, 2013. "Cloud computing in the upstream oil & gas industry: A proposed way forward," Energy Policy, Elsevier, vol. 56(C), pages 732-737.
  • Handle: RePEc:eee:enepol:v:56:y:2013:i:c:p:732-737
    DOI: 10.1016/j.enpol.2013.01.016
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    References listed on IDEAS

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    1. Kenji Kushida & Jonathan Murray & John Zysman, 2011. "Diffusing the Cloud: Cloud Computing and Implications for Public Policy," Journal of Industry, Competition and Trade, Springer, vol. 11(3), pages 209-237, September.
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    Cited by:

    1. Mitra, Amit & O'Regan, Nicholas & Sarpong, David, 2018. "Cloud resource adaptation: A resource based perspective on value creation for corporate growth," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 28-38.
    2. Ahmad, Raja Wasim & Salah, Khaled & Jayaraman, Raja & Yaqoob, Ibrar & Omar, Mohammed, 2022. "Blockchain in oil and gas industry: Applications, challenges, and future trends," Technology in Society, Elsevier, vol. 68(C).
    3. Wang, Feng-Kwei & He, Wu, 2014. "Service strategies of small cloud service providers: A case study of a small cloud service provider and its clients in Taiwan," International Journal of Information Management, Elsevier, vol. 34(3), pages 406-415.
    4. Di Salvo, André L.A. & Agostinho, Feni & Almeida, Cecília M.V.B. & Giannetti, Biagio F., 2017. "Can cloud computing be labeled as “green”? Insights under an environmental accounting perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 514-526.
    5. Perrons, Robert K. & Cosby, Tonya, 2020. "Applying blockchain in the geoenergy domain: The road to interoperability and standards," Applied Energy, Elsevier, vol. 262(C).
    6. Perrons, Robert K. & Richards, Matthew G., 2013. "Applying maintenance strategies from the space and satellite sector to the upstream oil and gas industry: A research agenda," Energy Policy, Elsevier, vol. 61(C), pages 60-64.
    7. Milovanović Slavoljub & Milovanović Goran & Lakićević Bogdan, 2022. "The Challenges of Cloud Technology Implementation in Oil Companies," Economic Themes, Sciendo, vol. 60(3), pages 387-407, September.
    8. Ali M. Harthy & Neelufer Aslam & Said M. Al Saqri & Siti Arni & Sulo Nair & Asif M. Karim, 2021. "The Use of Structural Equation Model (SEM) to Evaluate the Effectiveness of ISO 9001 Quality Management System (QMS) on the Performance of Oil and Gas Drilling Companies," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(1), pages 1-59, July.

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    Keywords

    Cloud computing; Oil & gas; Apps;
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