Reducing greenhouse gas emissions from oil and gas operations is critical, with methane emissions reduction & flaring minimization emerging as priority strategies. Advanced leak detection systems using satellite imaging, infrared cameras, and AI-powered monitoring are enabling early detection and prevention of methane leaks. Zero-routine flaring policies, flare gas recovery units, and vapor recovery systems are minimizing waste and capturing valuable hydrocarbons. Enhanced well integrity technologies and improved gas compression infrastructure are further curbing emissions. Collaboration between governments and energy companies is essential for scaling up methane reduction efforts. Implementing data-driven emissions tracking and carbon credit incentives can significantly accelerate industry-wide adoption of sustainable practices.
Selim Sanad Shaker
Geopressure Analysis Services, United States
Saim Memon
Sanyou London Pvt Ltd, United Kingdom
Nur Hassan
Central Queensland University, Australia
Selim Sanad Shaker
Geopressure Analysis Services, United States
Nur Hassan
Central Queensland University, Australia
Matthew Godfrey
Enventure Global Technology, United States
Barbara Diaz
Automa Srl, ItalySubmit your abstract Today
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