Generating 3D geothermal maps in Catalonia, Spain using a hybrid adaptive multitask deep learning procedure

Autor: Seyed Mirfallah Lialestani, David Parcerisa, Mahjoub Himi, Abbas Abbaszadeh Shahri

Publikováno v: Energies; Volume 15; Issue 13; Pages: 4602
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Mapping the subsurface temperatures can efficiently lead to identifying the geothermal distribution heat flow and potential hot spots at different depths. In this paper, an advanced adaptive multitask deep learning procedure for 3D spatial mapping of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0548d69289a9052d816e849dbf3ee0d9
https://hdl.handle.net/2117/372638