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SUMMARY:Digital Twins in the era of generative AI — Application to Geolog
 ical  CO2 Storage
DESCRIPTION:Professor Felix J. Herrmann will deliver the ESE Departmental S
 eminar on Thursday the 6th of June 2024: “Digital Twins in the era of ge
 nerative AI — Application to Geological CO2 Storage”\nJoin us in room 
 G41 – RSM Building – on Thursday 6th of June at 12h15.\nAbstract\nOur 
 industry is experiencing significant changes due to AI and the challenges 
 of the energy transition. While some view these changes as threats\, recen
 t advances in AI offer unique opportunities\, especially in the context of
  Digital Twins for subsurface monitoring and control. IBM defines “A dig
 ital twin is a virtual representation of an object or system that spans it
 s lifecycle\, is updated from real-time data\, and uses simulation\, machi
 ne learning and reasoning to help decision-making.” During this talk\, I
  will explore these concepts and their significance in addressing the chal
 lenges of monitoring & control of geological CO2 storage projects. This ta
 lk also aims to illustrate how Digital Twins can serve as a platform to in
 tegrate the seemingly disparate and siloed fields of geophysics and reserv
 oir engineering\nAbout the speaker\nFelix J. Herrmann is a professor with 
 appointments at the College of Sciences (EAS)\, Computing (CSE)\, and Engi
 neering (ECE) at the Georgia Institute of Technology. He leads the Seismic
  Laboratory for Imaging and modeling (SLIM) and he is co-founder/director 
 of the Center for Machine Learning for Seismic (ML4Seismic). This Center i
 s designed to foster industrial research partnerships and drive innovation
 s in artificialintelligence assisted seismic imaging\, interpretation\, an
 alysis\, and timelapse monitoring. In 2019\, he toured the world presentin
 g the SEG Distinguished Lecture. In 2020\, he was the recipient of the SEG
  Reginald Fessenden Award for his contributions to seismic data acquisitio
 n with compressive sensing. Since his arrival at Georgia Tech in 2017\, he
  expanded his research program to include machine learning for Bayesian wa
 ve-equation based inference using techniques from simulation-based inferen
 ce. More recently\, he started a research program on seismic monitoring of
  Geological Carbon Storage\, which includes the development of an uncertai
 nty-aware Digital Twin.
URL:https://www.imperial.ac.uk/events/178268/digital-twins-in-the-era-of-ge
 nerative-ai-application-to-geological-co2-storage/
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LOCATION:G41\, Royal School Of Mines\, South Kensington Campus\, Imperial C
 ollege London\, London\, SW7 2AZ\, United Kingdom
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