The paper describes how a combination of machine learning and rock physics helped leverage legacy seismic and well data for the characterisation of a carbonate geothermal reservoir located in the Dogger Formation northeast of Paris, France.
CGG congratulates Fabien Allo, Jean-Philippe Coulon, Jean-Luc Formento and Romain Reboul on being selected to receive the Society of Exploration Geophysicists’ (SEG) Award for Best Paper in The Leading Edge in 2021 for their paper ‘Characterization of a carbonate geothermal reservoir using rock-physics-guided deep neural networks’.