Nanotechnology is defined as a new technique for fabricating useful materials, systems, and devices with nanoscale materials, as well as new phenomena and behaviors at the nanoscale (1–100 nanometers). Adding specific Nanoparticles (NPs) to injection solutions can help enhance oil recovery significantly. In the recent decade, nanomaterials have been used as new EOR approaches to solve residual oil problems in heavy and semi-heavy oil reservoirs
Advanced wells with sensors and valves installed downhole to enable for easy monitoring and regulation are referred to as "smart" or "intelligent" wells. The valves are controlled remotely based on the sensors' detection of circumstances. Reservoir management is aided by smart wells. The most difficult aspect of smart wells is maximizing their efficiency. Smart wells are a promising new technology that has a high success rate.
Artificial lift is a technique used on oil wells to raise reservoir pressure and assist oil to rise to the surface. Artificial lift is used to recover greater output when the reservoir's inherent drive energy is insufficient to push the oil to the surface.
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