📋 Tender Overview
Complex Fluids In Fractured Geological Media For Enhanced Heat Transfer
Engineered Shear-Thinning Fluids For Enhanced Geothermal Systemsengineered Shear-Thinning (St) Fluids Exhibit Diverse Applications Across Various Fields. The Msca-Funded Geoneat Project Is Dedicated To Investigating The Potential Of These Engineered Fluids In Enhancing Geothermal Systems And Heat Tracer Tests. It Merges Methodologies From Applied Mathematics And Hydrology To Advance Heat Recovery Efficiency And Deduce Structural Parameters Within Deep Hot Reservoirs. The Project Outlines Two Scientific Objectives: Firstly, To Assess The Impact Of Engineered Fluids On Coupled Flow And Heat Transfers In Fractured Media; Secondly, To Extract Structural Information Regarding Fractured Media Through Inverse Modelling And Field Measurements Of Heat Exchange. The Goal Involves The Development Of A Multi-Scale Coupled Flow And Heat Transport Model Within Fractured Geological Formations.
Funded Under
Marie Sklodowska-Curie Actions (Msca)
Total Cost
€ 0,00
Eu Contribution
€ 265 099,20
Coordinated By
Alma Mater Studiorum - Universita Di Bologna
Italy
Start Date
1 March 2024
End Date
28 February 2027
Objective
GEONEAT aims at unraveling the potential of engineered shear-thinning (ST) fluids in enhanced geothermal systems to improve heat recovery efficiency and in heat tracer tests to infer structural parameters of deep hot reservoirs. Cutting-edge interdisciplinary methodologies from applied mathematics and hydrology are merged in a novel framework to achieve two scientific objectives: (1) characterizing quantitatively how using engineered fluids impacts coupled flow and heat transfers in fractured media at all scales; (2) inferring structural information on fractured media from coupling inverse modeling to field measurements of the heat exchange using complex fluids of different rheologies. To this aim, two technical challenges will be tackled: (1) the development of a multiscale model of coupled flow and heat transport in fractured geological formations; (2) the obtention of experimental data in a synthetic analog medium, to validate the model and constrain an inverse model for characterizing the medium’s geometry. GEONEAT relies on the expertise of a top-notch consortium consisting of the University of Bologna (beneficiary, supervisor Prof. Vittorio Di Federico and co-supervisor Prof. Valentina Ciriello, experts in subsurface stochastic modeling), Stanford University (outgoing phase, supervisor Prof. Daniel M. Tartakovsky and co-supervisor Prof. Roland Horne, experts in uncertainty quantification, inverse modeling, and geothermal energy), and the University Rennes 1 (secondment, supervisor Prof. Yves Méheust and co-supervisor Dr. Maria Klepikova, experts in subsurface heat transfers and analog experiments of flow and transport). Dr. Lenci will receive excellent training in the three institutions to pursue outstanding research, propelling his career development towa
