Biomass Energy Technologies represent a pivotal area of exploration within the broader spectrum of energy solutions, with significant implications for the oil, gas, and petroleum engineering sectors. Leveraging renewable sources like organic materials, these technologies offer promising avenues for sustainable energy production and environmental stewardship. From biofuels to biogas and beyond, advancements in biomass energy technologies continue to redefine the landscape of energy production, presenting both challenges and opportunities for industry professionals.
At the International Conference on Oil, Gas, and Petroleum Engineering, experts and stakeholders convene to delve into the latest developments in biomass energy technologies. Through insightful discussions, innovative research presentations, and collaborative exchanges, attendees explore the multifaceted dimensions of biomass energy and its integration into existing energy frameworks. From exploring novel conversion processes to addressing logistical and economic considerations, the conference serves as a dynamic platform for driving forward the discourse on biomass energy technologies within the context of oil, gas, and petroleum engineering.
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