Digital Twin in Oil and Gas has revolutionized the industry by introducing a transformative approach to asset management and operational optimization. This cutting-edge technology involves the creation of virtual replicas of physical assets, such as drilling rigs, production facilities, and reservoirs, incorporating real-time data and analytics. The Digital Twin serves as a dynamic, digital counterpart that mirrors the behavior of its physical counterpart, offering unparalleled insights and facilitating informed decision-making throughout the asset lifecycle. This innovation has proven particularly invaluable in predictive maintenance, enabling operators to anticipate and address potential issues before they lead to downtime, ensuring optimal performance and efficiency in oil and gas operations. As the industry embraces this digital transformation, the Digital Twin in Oil and Gas continues to redefine standards for operational excellence, safety, and resource optimization.
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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