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Subsurface Analysis
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.
- Image Processing and Computer Vision
- Challenges in Seismic Interpretation
- Machine Learning Algorithms
- Geophysical Methods of Subsurface Exploration
- Seismic Imaging
Submit your abstract Today
Title : Well design optimization in high H2S conditions
Andrey Yugay, ADNOC Onshore, United Arab Emirates
Title : PMS – A step towards improved efficiency and net zero
Lakshmi Kranthi Rayudu, ONGC Ltd, India
Title : Hydrates management in deep water field with lower temperatures reservoirs– Challenges and lesson learnt
Lakshmi Kranthi Rayudu, ONGC Ltd, India
Title : Pre-post frac test data analysis for hydraulically fractured vertical tight oil well- Field case study
Mohamed Ali Tarassi, Waha Oil Company, Libya
Title : Advancements in vacuum insulated technologies for energy efficiency and sustainable temperature sensitive logistics
Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Evolution of zonal isolation completion technologies, from simple to smart
Pranay Asthana, Saudi Aramco, Saudi Arabia