Seismic Monitoring and Imaging (Work Package 1)

Induced seismicity in geothermal projects must be adequately monitored, managed, and controlled. If reservoir enhancements are required to attain a productive heat exchange system, controlled small-scale seismicity is invaluable in assessing the successful fracture creation. In this WP, we aim to substantially increase micro-seismicity monitoring resolution and automation and advance our ability to capture the spatial evolution of stimulated fractures by providing detailed models of seismic velocities, seismic velocity changes, and source processes. This Digital Twin Component (DTC) will facilitate the creation of a state-of-the-art monitoring system for deep geothermal energy at lower costs, drawing inspiration from techniques used in civil engineering for monitoring the health of concrete infrastructures. The long-term safety and economic sustainability of geothermal reservoirs rely on acquiring detailed knowledge about the physical properties of the reservoir at any given time.

Lead: SEISMIX and ETH
Participants: IEG, HBO, INGV, DMT, GES, DIAS, MONDAIC
Contact: Francesco Grigoli and Federica Lanza

Tasks WP1

Task 1.1: Real-time assessment of induced microseismicity
Task 1.2: Source characterization of microseismicity
Task 1.3: Fault imaging and monitoring
Task 1.4: Seismic Network Optimization
Task 1.5: Microseismic monitoring applied to urban environments

Deliverables WP1

D 1.1: Continuous-mode DTCs for seismic monitoring: Automated workflows for near real-time detection, discrimination, and location of microseismicity combining DAS and conventional seismic instruments.

D 1.2: Continuous-mode DTCs for source characterization: Methods for near real-time source characterization of microseismicity.

D 1.3: Continuous-mode DTCs for retrieval of waveform attributes: Development and testing of time-lapse full-waveform simulators and temporal tracking of waveform attributes.

D 1.4: DTC for seismic network optimization: Development and testing of realistic digital seismic network(s) for optimal data mining from (micro-) seismicity in rural and urban environments.

D 1.5: DTC for noise characterization: Methodology for noise characteristic assessment in urban seismic monitoring.

A list of all deliverables for GEOTWINS is available here (hyperlink to Output/Deliverables)