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
Committee Members
Selim Sanad Shaker
Geopressure Analysis Services, United States
Saim Memon
Sanyou London Pvt Ltd, United Kingdom
Cleveland M Jones
Fronteira Energia Ltda, Brazil GOPE 2026 Speakers
Jia Min Jin
Shanghai Research Institute of Materials, China
Matthew Godfrey
Enventure Global Technology, United States
Javier Garrigos
Tecnicas Reunidas, Spain
Rukiye Oztekin
Dokuz Eylül University, TurkeySubmit your abstract Today
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