Advanced Materials & Nanotechnology in Petroleum Engineering
Breakthroughs in advanced materials & nanotechnology in petroleum engineering are enhancing efficiency and performance in exploration, drilling, and refining. Nanoparticles in enhanced oil recovery improve fluid mobility and reservoir permeability, while nanocoatings are extending the lifespan of pipelines and equipment. Advanced composite materials are increasing corrosion resistance in offshore drilling structures. High-performance catalysts with nano-engineered surfaces are optimizing refining processes and reducing emissions. The application of self-healing materials is enhancing asset durability. Future research in smart nanomaterials may lead to improved efficiency in drilling fluids and catalytic converters.
Committee Members
Selim Sanad Shaker
Geopressure Analysis Services, United States
Saim Memon
Sanyou London Pvt Ltd, United Kingdom
Nur Hassan
Central Queensland University, Australia GOPE 2026 Speakers
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