storage, management, analysis, and processing of large amounts of data, as well as its distribution. Data capture, storage, and processing are all recent advances in big data technologies, and now big data is being used in the refinery industry to estimate energy efficiency and reduce downtime, maintenance, and repair costs using various models and analytics methodologies. It’s also utilised in the liquefied natural gas and municipal gas distribution industries for maintenance and predicting process and equipment failure. The authors of this research examined how big data is being employed in the storage and transportation of oil and gas, as well as health and safety in the downstream industry and to properly predict future oil and gas markets. There are numerous areas where big data techniques can be used effectively, as well as several hurdles in utilising big data in the petroleum downstream industry