Predicting industry advancements: A comprehensive outlook on future trends and innovations in oil and gas engineering

Emmanuella Onyinye Nwulu 1, *, Tari Yvonne Elete 2, Adeoye Taofik Aderamo 3, Andrew Emuobosa Esiri 4 and Kingsley Onyedikachi Omomo 5

1 Shell Nigeria Exploration and Production Company Lagos. Nigeria.
2 Independent Researcher, Georgia, USA.
3 Independent Researcher; Lagos Nigeria.
4 Independent Researcher, Houston Texas, USA.
5 TotalEnergies Limited, Nigeria (c/o Benmaris Limited).
 
Review
International Journal of Frontline Research in Engineering and Technology, 2022, 01(02), 001–015.
Article DOI: 10.56355/ijfret.2022.1.2.0006
Publication history: 
Received on 24 March 2022; revised on 02 August 2022; accepted on 04 August 2022
 
Abstract: 
The oil and gas industry are experiencing a transformative shift, driven by advancements in technology, sustainability concerns, and the global demand for cleaner energy. This review provides a comprehensive outlook on the future trends and innovations poised to shape the oil and gas engineering sector. Key areas of innovation include the integration of artificial intelligence (AI), automation, and advanced analytics for optimizing exploration, production, and maintenance processes. The adoption of digital twins and predictive maintenance is revolutionizing asset management, enabling real-time monitoring and reducing operational downtime. Furthermore, the exploration of renewable energy sources, such as hybrid renewable systems combining oil, gas, and solar energy, is expanding the scope of traditional operations. As the industry strives to reduce its carbon footprint, carbon capture, utilization, and storage (CCUS) technologies are gaining prominence, offering viable solutions for reducing greenhouse gas emissions. Innovations in subsea engineering, autonomous drilling systems, and enhanced oil recovery (EOR) techniques are also expected to improve operational efficiency and sustainability. This review also highlights the growing importance of regulatory compliance, safety, and cybersecurity in a digitally transformed industry. By leveraging machine learning and data analytics, companies can enhance risk management practices and ensure adherence to environmental regulations. The outlook concludes that future advancements in oil and gas engineering will be shaped by a balance between technological innovation and environmental stewardship, with a focus on sustainability and energy transition. These innovations are crucial for ensuring the industry's long-term viability and its role in the global energy landscape.

 

Keywords: 
Oil And Gas Engineering; Future Trends; Innovations; Artificial Intelligence; Predictive Maintenance; Digital Twins; Carbon Capture; Renewable Energy; Subsea Engineering; Enhanced Oil Recovery; Sustainability; Energy Transition; Automation; Cybersecurity; Regulatory Compliance.
 
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