CORDIS Project
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GEOLEARN focuses on improving the efficiency of hydrogen storage by developing advanced deep learning techniques for real-time analysis of subsurface electromagnetic measurements. The project aims to create energy-efficient methods that can generate large training datasets and process them effectively, enhancing the sc…
The use of renewable hydrogen as green fuel and energy storage was deemed key to achieve the European Green Deal.
However, its large-scale storage is still facing significant challenges.
Measurement inversion via deep learning (DL) is a state-of-the-art approach used for underground storage-site detection and monitoring.
However: 1) It requires a huge amount of training data; 2) DL training is expensive, and 3) There are no efficient and reliable DL techniques for multiscale electromagnetic meas…
BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS
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THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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