Adoption and Impact of Big Data Analytics: Review of Hydrocarbon Sector in India
- DOI
- 10.2991/978-94-6463-872-1_27How to use a DOI?
- Keywords
- Big Data; Big Data Analytics; Big Data Adoption; PRISMA; Hydrocarbon Sector; India; Impact; Predictive Maintenance; oil and gas
- Abstract
Indian hydrocarbon industry plays a significant role globally since it’s the 4th largest in terms of Refining capacity, 4th largest in Liquified Natural Gas (LNG) terminal capacity, and 7th largest exporter of refined products. India’s Jamnagar refinery, one of the world’s largest, establishes it’s dominance in the global oil and gas refining sector.
Recent advancement in Big Data Analytics (BDA) adoption have impacted performance of the organization. To harness the best out of Big Data (BD) technologies, the Indian hydrocarbon industry must undergo significant transformation in operational efficiency, predictive maintenance, and decision making processes. This literature review examines the scenario of BD adoption in the Indian hydrocarbon industry, finding barriers, and drivers focusing on hydrocarbon (oil and gas) exploration, production, refining, and supply chain management.
Study identifies key areas where BD adoption plays a transformative role in data analysis for predictive maintenance, operational efficiency, enhancing personnel health & safety, and optimizing resource allocation. Findings suggest that BD adoption in the Indian hydrocarbon industry is still progressing, but there need for significant strategic investments in BD technologies and resource skill enhancement. This literature review contributes to academia and industry, by identifying gaps in current research and recommendations for integrating big data technologies in the Indian hydrocarbon industry, overcoming adoption barriers.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Anil Kumar Bharatiya PY - 2025 DA - 2025/11/04 TI - Adoption and Impact of Big Data Analytics: Review of Hydrocarbon Sector in India BT - Proceedings of the 2nd International Conference on Sustainable Business Practices and Innovative Models (ICSBPIM-2025) PB - Atlantis Press SP - 408 EP - 434 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-872-1_27 DO - 10.2991/978-94-6463-872-1_27 ID - Bharatiya2025 ER -