Oil and Gas, automation and technology play pivotal roles in enhancing operational efficiency, safety, and environmental sustainability. Advanced automation systems have revolutionized exploration, drilling, production, and distribution processes, optimizing resource utilization and minimizing human intervention in hazardous environments. Intelligent sensors and data analytics enable real-time monitoring of equipment health, facilitating predictive maintenance and reducing downtime. Furthermore, the integration of Artificial Intelligence (AI) algorithms enhances decision-making processes, optimizing reservoir management and production forecasting. The adoption of Industrial Internet of Things (IIoT) has enabled the creation of smart oil fields, where interconnected devices and sensors communicate seamlessly to provide a comprehensive view of operations. This connectivity not only improves asset performance but also allows for remote monitoring and control, reducing the need for on-site personnel and enhancing safety. Robotics and drones have become invaluable tools for inspection and maintenance tasks, especially in challenging or inaccessible locations. Blockchain technology is transforming the supply chain by enhancing transparency and traceability in oil and gas transactions, ensuring the authenticity of data and reducing the risk of fraud.
Title : The Vacuum Insulated Heatable Curtain (VIHC): From conceptual invention to market deployment as a cost-effective dual solution for window heat loss reduction and localised radiant comfort
Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Hydrogen production from depleted or unproductive oil and gas reservoirs
Cleveland M Jones, Fronteira Energia Ltda, Brazil
Title : Predicting drilling challenges and hazards due to subsurface pressure’s drifting
Selim Sanad Shaker, Geopressure Analysis Services, United States
Title : Transforming waste plastic into hydrogen: Progress, challenges, and future directions in pyrolysis-based integrated pathways
Nur Hassan, Central Queensland University, Australia
Title : Novel expandable liner hanger platform for advanced liner drilling and reaming
Matthew Godfrey, Enventure Global Technology, United States
Title : From empirical decline to intelligent forecasting: A hybrid deep learning framework embedding arps physics for unconventional tight-gas reservoir production prediction
Emmanuel Chibueze Obasi, University of Wyoming, United States