WP 2: Digital Geothermal Reservoir Twin
Building upon the enhanced data streams from WP1 and other measured sources of data, e.g., of rock physical properties, in this WP, we construct the digital twin of a geothermal reservoir. This will enable physical interpretation of reservoir evolution at early stages (e.g., during stimulation) and late times of operation of the system. Simulations would include synthesis of seismic waveform data and forward and inverse Uncertainty Quantification (UQ) to allow the assessment of the performance of the model’s components in structured pseudo-prospective and fully prospective validation tests.
Lead: INGV and IEG
Participants: ETH Zurich, GES, EOS, UNITN, VITO, HBO, EOST, DMT, MONDAIC
Contact: Luigi Passarelli and Claudia Finger
Tasks WP 2
Task 2.1: Geomechanical twin of the dilating fracture network
Task 2.2: Reservoir modelling to seismicity rate forecasting in real-time
Task 2.3: Multi-scale digital reservoir evolution informed by laboratory measurements
Task 2.4: Digital twin of a multi-stage deep geothermal system
Task 2.5: Efficient and robust forward and inverse Uncertainty Quantification
Deliverables WP 2
D 2.1: Digital Twin of dilating fracture networks: reservoir volume and simulated mechanical responses of hypothesized fracture network deformations
D 2.2: Digital Twin of physics-based seismicity models to forecast induced seismicity: deployment, testing and comparison of DTCs based on physics-based models to simulate the reservoir characteristics and the seismicity response to hydro-shearing and hydro-fracturing stimulation.
D 2.3: Digital Twin of multi-scale geothermal rock physics models: development and testing of DTCs based on multi-scale geothermal rock physics models for physics-based interpretation of geomechanical reservoir process based on seismic velocity changes.
D 2.4: Digital Twin of multi-stage deep geothermal systems: Workflow for the construction of a generic DTC of a multi-stage deep geothermal system based on measured data.
D 2.5: Non-intrusive Uncertainty Quantification (UQ) framework: Workflow to assess the impact of uncertainties within simulation models.
A list of all deliverables for GEOTWINS is available here
GEOTWINS is subsidized through the CETParternship together with the European Union and by various National Funding Agencies
