- Tipo de expresión:
- Máster: Dirección de prácticas académicas externas
- Ámbito:
- geothermal energy
- Área:
- Materia
- Referencia:
- 2024
- Centro o Instituto:
- INSTITUTO DE DIAGNOSTICO AMBIENTAL Y ESTUDIOS DEL AGUA
- Investigador:
- JUAN JOSE HIDALGO GONZALEZ
- Palabras clave:
-
- artificail inteligence, geothermal energy, Climate change, Numerical modelling
- Documentos anexos:
- 665525.pdf
- 665526.pdf
Momentum - Titulado Superior-Development of an artificial-intelligence tool for the optimization and management of deep geothermal energy resources
GeotermIA is a project led by IDAEA-CSIC aimed to develop a tool for real time management and optimization of deep geothermal resources using artificial intelligence (AI) that can be used to build digital twins of geothermal facilities. You will work on the development of neural network algorithms applied to geothermal applications. Specifically, you will develop a database of geothermal data to train the AI models and adapt machine learning algorithms to the necessities of geothermal energy production.
PM3 Lab (pm3lab.csic.es) belongs to the Groundwater and Hydrogeochemistry group of IDAEA-CSIC. Researchers at PM3 Lab study the hydraulic, chemical, thermal and mechanical processes that take place in porous media from pore to regional scale. The group employs mathematical and numerical approaches as well as laboratory and field scale experiments and sampling methods.
GeotermIA offers a strong training program (270 CTS), which includes the opportunity to enroll in the master in Artificial Intelligence of the University of Barcelona and in a PhD program in the Universitat Politècnica de Catalunya after the master completion. You will gain skills in numerical modelling of thermo-hydro-mechanical processes, programming in python, as well as oral and written communication. Research short stays at the Technical University of Madrid and the University of Rennes are planned.