Deep Learning Applications for Automated Subsurface Model Building
Society for Industrial and Applied Mathematics via YouTube
Overview
Explore the cutting-edge applications of artificial intelligence and machine learning in geoscience through this 48-minute webinar from the SIAM Geosciences Webinar Series. Delve into the transformative potential of AI/ML algorithms in the energy industry, focusing on automated evergreen subsurface model building. Discover how these technologies improve efficiency, accuracy, and workflow automation in geoscience applications. Examine a case study demonstrating the integration of seismic, wellbore, and other geophysical data to derive 3D subsurface models. Gain insights from speaker Aria Abubakar of Schlumberger's Digital Subsurface Solutions on leveraging GPU technology, cloud computing, and increasing data volumes to extract valuable information from geoscience data.
Syllabus
Deep Learning Applications for Automated Subsurface Model Building
Taught by
Society for Industrial and Applied Mathematics