Abstract
Cloud computing has impacted a broad range of industries, but this technology’s adoption throughout the marketplace has been uneven. Despite compelling cases for cloud computing, the upstream petroleum industry faces technical challenges, notably reliance on massive datasets, ongoing legacy investments in IT, data security, and most of all, expertise. Hence, the industry has approached cloud computing cautiously, and progress has often been in private cloud structures or hybridised IT systems, constituting cloud and non-cloud architectures. This paper argues for the application of data science in the upstream petroleum industry and acquiring help from academia in the application of this science. It would be unwise to attempt big data and cloud computing technology directly by the industry itself. Big Data and cloud computing could affect the industry downstream, where hydrocarbon planning and marketing depend on supply, demand and consumer behaviour. Also, it can be deployed in the upstream section where decision-making has to be done for the ideal well location after analysing vast volumes of seismic data by geophysicists. This paper concludes with a discussion that, rather than expecting the existing workforce to don the robe of data scientists, help should be acquired from academia to develop a win-win situation for both through efficient teamwork.
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Baluch, S., Prakash, V., Garg, L. (2023). Cloud Computing in Upstream Oil and Gas Industry: Aspirations, Trends and Limitations. In: Garg, L., et al. Key Digital Trends Sha** the Future of Information and Management Science. ISMS 2022. Lecture Notes in Networks and Systems, vol 671. Springer, Cham. https://doi.org/10.1007/978-3-031-31153-6_34
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