Global climate change and the related disasters are linked to increased emission of CO2 into the atmosphere. Recently, long-term storage of CO2 has become possible in deep subterranean formations in order to reduce levels of this greenhouse gas.
“In my thesis I have examined an innovative technique for facilitating the process of storing CO2. This process is dependent on many uncertain factors, including, for example, gas migration in porous formations. It requires accurate monitoring to prevent the injected CO2 from leaking. I have used an application of machine learning, a form of artificial intelligence, to develop a program that can predict saturation of CO2 in a storage formation,” explains Michal Stepien from DTU.
He won the third prize in the Vissing Foundation Energy Prize 2022 for his thesis.
The results of his thesis can be used as a tool in real-time monitoring, making it easier to take fast and well-founded decisions for long-term CO2 storage.