Biorefinery technology stands at the forefront of sustainable energy production and resource optimization, offering innovative solutions to the challenges faced by the oil, gas, and petroleum industries. Through the integration of biological, chemical, and thermal processes, biorefineries efficiently convert biomass and waste materials into a diverse range of valuable products, including biofuels, biochemicals, and biopolymers. This transformative approach not only reduces dependency on fossil fuels but also minimizes environmental impact by mitigating greenhouse gas emissions and promoting circular economy principles.
At the International Conference on Oil, Gas, and Petroleum Engineering, we aim to showcase the latest advancements and applications of biorefinery technology in the energy sector. From bio-based feedstock utilization to bioprocess optimization and waste valorization, our conference provides a platform for researchers, industry professionals, and policymakers to exchange insights, foster collaboration, and shape the future of sustainable energy production. Join us to explore cutting-edge research, innovative technologies, and strategic initiatives driving the evolution of biorefinery technology towards a cleaner, greener, and more resilient energy landscape.
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