Liquefied Natural Gas (LNG) is a versatile and efficient form of natural gas that has undergone a liquefaction process, transforming it into a liquid state for ease of storage and transportation. This process involves cooling natural gas to extremely low temperatures, typically below -160 degrees Celsius, where it condenses into a clear, colorless, and non-toxic liquid. LNG has a significantly reduced volume compared to its gaseous state, making it practical for long-distance transport via specialized cryogenic tankers. Upon reaching its destination, LNG is regasified and returned to its original gaseous state for distribution and utilization. LNG is a vital component of the global energy landscape, contributing to diversification and security of energy supply. It facilitates the transportation of natural gas across continents, connecting producers with consumers around the world. LNG also serves as a cleaner-burning alternative to traditional fossil fuels, reducing greenhouse gas emissions and contributing to environmental sustainability. The growth of the LNG industry is fueled by ongoing technological advancements, increased investment in liquefaction and regasification infrastructure, and the global push for cleaner energy solutions.
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