Transforming petroleum downstream sector through big data: a holistic review

Abstract

Abstract Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery sector for the estimation of the energy efficiency and to reduce the downtime, maintenance, and repair cost by using various models and analytics methods. In the liquefied natural gas and city gas distribution industry, also, it is used in maintenance and to predict the failure of process and equipment. In this paper, authors have reviewed that how big data now used in the storage and transportation of oil and gas, health and safety in the downstream industry and to accurately predict the future markets of oil and gas. There are many areas where we can efficiently utilize big data techniques, and there are several challenges faced in applying big data in the petroleum downstream industry.

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