Studying the Earth's subsurface structures has been and remains an important part of a variety of applications, including environmental monitoring, carbon sequestration, and oil and gas development. Researchers were able to learn by applying advanced image processing and computer vision algorithms to successfully assess and understand Earth's subsurface structures by viewing seismic volumes generated through the processing of recorded seismic traces. A variety of geophysical techniques are utilized to learn more about what is beneath the surface. The most popular technique is seismic imaging, which involves measuring variations in the Earth's gravity and magnetic field.
Title : Advancements in vacuum insulated technologies for energy efficiency and sustainable temperature sensitive logistics
Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Maintaining heat transfer functionality with vapor infusion nano bubbles
Michael Radicone, Heat Transfer Research, Inc, United States
Title : Green hydrogen pathway to decarbonize oil refining
John W Sheffield, Purdue University, United States
Title : Screening tuned water with a tool to quantify changes in wettability and the impact on enhanced oil recovery in core flooding experiments
Sindy Coelho Muller, ESSS - Engineering Simulation And Scientific Software, Brazil
Title : Well design optimization in high H2S conditions
Andrey Yugay, ADNOC Onshore, United Arab Emirates
Title : Design and construction of a spool deployed fiber optic gauge array for sand- Face monitoring
Pranay Asthana, Saudi Aramco, Saudi Arabia