Geothermal Exploration and Optimization through Forward Modeling and Resource De...
Geothermal Exploration and Optimization through Forward Modeling and Resource Development
GO-Forward aims to develop a novel methodological approach to make more accurate pre-drilling predictions of geothermal reservoir properties and thus reduce the mining risk. Key to the GO-Forward approach is to simulate geological...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
IPT-2011-1186-920000
GEOTHERCAN: Desarrollo experimental de modelos 3D para la ca...
324K€
Cerrado
EGT-TWINN
Enhancing research capacity at the Geological Survey of Esto...
1M€
Cerrado
GeoHEAT
Georadar-aided High-resolution Exploration to Advance deep g...
5M€
Cerrado
GEISER
Geothermal Engineering Integrating Mitigation of Induced Sei...
7M€
Cerrado
GEMex
GEMex Cooperation in Geothermal energy research Europe Mexi...
10M€
Cerrado
IMAGE
Integrated Methods for Advanced Geothermal Exploration
13M€
Cerrado
Información proyecto GO-Forward
Duración del proyecto: 47 meses
Fecha Inicio: 2024-09-01
Fecha Fin: 2028-08-31
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
GO-Forward aims to develop a novel methodological approach to make more accurate pre-drilling predictions of geothermal reservoir properties and thus reduce the mining risk. Key to the GO-Forward approach is to simulate geological processes for pre-drill assessment of reservoir structure and properties, calibrated to geological or geophysical data, rather than extrapolating the properties from those data with geostatistical methods. To this end, GO-Forward focuses on extending and further developing, testing and demonstrating the added value of forward modelling methods originally developed for hydrocarbon exploration, including stratigraphic forward modelling (SFM), diagenesis forward modelling (DFM) and fracture network forward modelling (FFM), to be used for exploration in different geothermal settings of high relevance for Europe. First, the developed approaches will be tested and calibrated in areas with abundant subsurface information and production data, to prove conceptually the applicability of the methods and reproducibility of the results, to optimise and de-risk geothermal exploration. Calibrated model approaches are subsequently applied in areas with limited data availability to demonstrate their capability to increase pre-drill Probability of Success (POS). To support the workflow and further reduce exploration costs, GO-Forward advances ML-based and computational methods to enhance (existing) (sub)surface information for calibration, uncertainty quantification and data assimilation, and (upscaling) routines for flow simulation, DNSH, and techno-economic performance assessment for POS and Value of Information (VOI). In addition, GO-Forward addresses public awareness of geothermal developments already at the early stages of exploration. By including novel approaches to citizen engagement and stakeholder dialogue, we aim to increase the societal readiness level of geothermal exploration as the first step of geothermal developments.