Reference Number
11424<\/h3>
This position is part of the Marie Sk\u0142odowska-Curie Doctoral Network (MSCA-DN) MiningBrines (Multidisciplinary Integration and Networking for Increased Sustainability and Multi-Resources Valorisation of Geothermal Brines). MiningBrines offers an innovative doctoral training program designed to address Europe\u2019s strategic need for sustainable access to critical raw materials (CRM), energy gases (EG), and renewable energy resources.<\/p>\n
Within the network, 19 Doctoral Candidates (DCs) will receive interdisciplinary training in geosciences, biogeochemistry, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial enhanced recovery. In addition, DCs will develop intuitive fluid-chemistry modelling workflows and innovative multi-criteria intelligent decision-support tools, enabling them to drive innovation in geothermal brine mining while collaborating with academic and industrial partners on practical, real-world solutions.<\/p>\n
This PhD project aims to decipher the interplay between the chemical alteration of fractured rock and the evolution of its mechanical properties, with application to low- to medium-enthalpy geothermal reservoirs. Using laboratory experiments and numerical modelling, the study seeks to improve understanding of fluid-mediated slip along altered faults, associated seismicity, and reaction-induced changes in fracture permeability.<\/p>\n
To achieve this, two types of geothermally relevant rock will be selected and artificially fractured. Long-term flow-through experiments will then be conducted to induce structural changes in the fractures, after which the samples will be mechanically retested. These experiments will be complemented by coupled thermal-hydraulic-mechanical-chemical (THMC) numerical modelling at the sample scale. Finally, the results will be integrated into hydrogeological reservoir-scale THM(C) models and validated using data from operating geothermal sites.<\/p> \n
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