Event Details
Seminar Abstract
This seminar presented innovative approaches to CO2 plume imaging using accelerated deep learning-based data assimilation techniques. The method leverages distributed pressure and temperature measurements to enhance the monitoring and management of carbon capture, utilization, and storage (CCUS) operations.
Prof. Datta-Gupta discussed how machine learning algorithms can be integrated with traditional reservoir simulation to significantly reduce computational time while maintaining accuracy in predicting CO2 plume migration. This research has significant implications for improving the safety and efficiency of carbon sequestration projects.
The presentation covered both theoretical foundations and practical applications, featuring case studies that demonstrate the effectiveness of these methods in real-world scenarios.
Event Information
Date & Time
July 16, 2025 | 10:00 AM - 12:00 PM IST
Venue
Lecture Hall Complex, Department of Chemical Engineering
Indian Institute of Technology Guwahati
Guwahati-781039, Assam, India
Audience
Faculty members, research scholars, postgraduate and undergraduate students interested in petroleum engineering, carbon capture, and machine learning applications.
Prof. Akhil Datta-Gupta
Texas A&M University
Prof. Akhil Datta-Gupta is a University Distinguished Professor and holder of the LeSuer Chair in Petroleum Engineering at Texas A&M University. He is a member of the U.S. National Academy of Engineering and has received numerous awards including the SPE John Franklin Carll Award and the SPE Lester C. Uren Award.
His research focuses on reservoir engineering, simulation and characterization, and has pioneered the use of streamlines and fast marching methods for flow simulation and history matching in complex reservoirs.