Artificial neural networks acting as geothermometer for reservoir temperature estimation

Mark Vollmer , Lars Helge Yström , Fabian Nitschke & Thomas Kohl
The application of geothermometry has been used for the last six decades for geothermal reservoir temperature estimation. A steady evolution of conventional geothermometers to multicomponent tools as well as application of artificial intelligence are nowadays available. The development of high-performing computers offers the possibility to use deep learning algorithm for reservoir temperature estimation. Serving a selection of geochemical input parameters to artificial neural networks, they can be used to predict temperatures in the subsurface. Therefore,...
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