Deep lEarning foRecasting of Induced Seismicity for risK management operations

Project Information

DERISK

Grant agreement ID: 101105516

DOI

10.3030/101105516

Project closed

EC signature date 6 April 2023

Start date 3 July 2023

End date 2 July 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 172 750,08

Coordinated by

UNIVERSITA DI PISA
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Publications

Peer reviewed articles (2)

Effects on a Deep-Learning, Seismic Arrival-Time Picker of Domain-Knowledge Based Preprocessing of Input Seismograms

Author(s): Anthony Lomax; Matteo Bagagli; Sonja Gaviano; Spina Cianetti; Dario Jozinović; Alberto Michelini; Christopher Zerafa; Carlo Giunchi
Published in: Seismica, 2024, ISSN 2816-9387
Publisher: McGill University Library
DOI: 10.26443/SEISMICA.V3I1.1164

Local earthquake tomography of the Alpine region from 24 years of data

Author(s): M Bagagli; I Molinari; T Diehl; E Kissling
Published in: Geophysical Journal International, 2025, ISSN 1365-246X
Publisher: Oxford University Press (OUP)
DOI: 10.1093/GJI/GGAF028

Conference proceedings (3)

A Waveform-Based Graph Neural Network Approach for Microseismic Monitoring

Author(s): Matteo Bagagli, Francesco Grigoli, Davide Bacciu
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-13238

HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity

Author(s): Matteo Bagagli, Francesco Grigoli, Davide Bacciu
Published in: 2024
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU24-6552

Leveraging Deep-Learning Methods for Operational Analysis at Enhanced Geothermal Systems

Author(s): Matteo Bagagli, Francesco Grigoli, Davide Bacciu
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-17747