PlumeSense AI
Project Overview
Year
About
PlumeSense AI enables real-time monitoring of underground CO₂ storage by replacing traditional geomechanical simulations with a fast, AI-powered surrogate model. Trained on high-resolution data, it predicts plume dynamics in milliseconds with under 10% error and is around 10,000 times faster than conventional methods. This allows minute-scale leak detection, reduces the need for dense sensor networks, and lowers operational costs. Validated on real-world data, the system offers a safer, scalable approach to carbon capture and storage, supporting public trust and regulatory oversight
Team
Dr. Saeed Salimzadeh
Supervising Prof.
Ibrahim Ibrahim
"Ibrahim Mohamed Ibrahim is an Egyptian award-winning researcher and a PhD candidate at Queensland University of Technology. He is also a postgraduate researcher at Australia’s national science agency, CSIRO. In 2022, he received the Eni Award: Young Talents from Africa, presented by the President of Italy. His impactful research in energy was recognized by a committee of Nobel Laureates. At CSIRO, his work focuses on cutting-edge machine learning applications in carbon capture projects. His PhD research investigates high-temperature materials for energy applications. Previously, as a research scholar at California Polytechnic State University (USA), he deepened his expertise in renewable energy."
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