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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
Committee Members
Selim Sanad Shaker
Geopressure Analysis Services, United States
John W Sheffield
Purdue University, United States
Michael Radicone
Heat Transfer Research, Inc, United States GOPE 2025 Speakers
William Gothard
Ahmic Aerospace, United States
Guido Gabriel Piccone
ADNOC Onshore, United Arab Emirates
Andrey Yugay
ADNOC Onshore, United Arab Emirates
Pranay Asthana
Saudi Aramco, Saudi ArabiaSubmit your abstract Today
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