CO2 sequestration, also known as carbon capture and storage (CCS), is a pivotal strategy in the battle against climate change. It involves capturing carbon dioxide (CO2) emissions generated from industrial processes, particularly power plants, and preventing their release into the atmosphere. Once captured, the CO2 is transported and securely stored underground in geological formations, such as depleted oil and gas reservoirs or deep saline aquifers. The primary objective is to keep the greenhouse gas from contributing to global warming. CO2 sequestration not only addresses the urgent need to reduce emissions but also holds potential economic benefits. It allows industries to continue operations with lower environmental impact, fostering a transition toward cleaner energy sources. The effectiveness of CO2 sequestration relies on secure storage sites, rigorous monitoring techniques, and ongoing research to optimize the process and address any potential environmental concerns. As global efforts intensify to meet emission reduction targets, CO2 sequestration stands out as a crucial tool in mitigating the impact of human activities on the climate and ensuring a sustainable future.
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