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