Dr Maximilian Werner
MSci(Lond.), PhD(UCLA)
Expertise
My research focuses on tectonic and human-induced earthquakes, their seismic hazards and disaster resilience. I use seismology, statistics, numerical modelling and machine learning to study and forecast earthquake potential.
Current positions
Associate Professor of Geophysics and Natural Hazards
School of Earth Sciences
Contact
Press and media
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Research interests
My research interests centre on earthquake physics, seismic hazard assessment and earthquake resilience. I combine physical and stochastic numerical modeling of earthquake processes that I confront with seismological observations. I am particularly interested in understanding the mechanisms by which earthquakes trigger other earthquakes (e.g. in damaging earthquake cascades or fluid-injection induced seismicity) and in improving models for the probabilistic forecasting of future earthquake potential, including probabilistic seismic hazard assessment (PSHA). I lead the global Collaboratory for the Study of Earthquake Predictability (CSEP), which provides cyberinfrastructure for prospective and reproducible evaluations of earthquake forecast models around the globe. Current work focuses on earthquake clustering and forecasting, fault-based seismic hazard assessment in the Himalaya and Malawi, fluid-injection induced seismicity and machine-learning based approaches to earthquake seismology.
Projects and supervisions
Research projects
Energise – A 'digital twin' appraisal process for decarbonising community-scale heat energy
Principal Investigator
Role
Co-Investigator
Description
This project seeks to develop capability in risk appraisal for geothermal energy use. It focuses on systemic risk, where the challenge is not simply the identification of risks, but rather…Managing organisational unit
School of Management - Business SchoolDates
01/04/2021 to 31/03/2022
EQUIPT4RISK CoA funding
Principal Investigator
Managing organisational unit
School of Earth SciencesDates
01/03/2020 to 30/09/2021
8035 GCRF GLOBAL RESEARCH TRANSLATIONAL AWARDS EP/T015462/1 - SAFER PREPARED
Principal Investigator
Role
Co-Investigator
Description
SAFER PREPARED is a UKRI funded GCRF project 2020-2021 led at University of Bristol in partnership with colleagues in Malawi.
It is part of a wider Programme on "Innovative data…Managing organisational unit
Department of Civil EngineeringDates
01/10/2019 to 31/03/2022
Real-time Earthquake Risk Reduction for a Resilient Europe
Principal Investigator
Managing organisational unit
School of Earth SciencesDates
01/09/2019 to 31/08/2022
Science Based Environmental baseline Monitoring 2019
Principal Investigator
Managing organisational unit
School of Earth SciencesDates
01/04/2019 to 31/03/2020
Thesis supervisions
Insights into the rupture physics and geomechanics of microseismicity induced during hydraulic fracturing operations
Supervisors
A UK MW catalogue derived from coda envelopes
Supervisors
Improving the Performance of Physics-based and Statistical Forecasts of Natural and Induced Seismicity
Supervisors
Crustal structure of the Horn of Africa and southern Gulf of Aden
Supervisors
Characteristics of aseismic afterslip and its effects on aftershock sequences
Supervisors
Using deep learning for phase detection and event location on hydraulic fracturing-induced seismicity
Supervisors
Microseismic and geomechanical investigation of injection-induced fault reactivation
Supervisors
Examining the relationship between seismic swarms and ground deformation during volcanic unrest
Supervisors
Spatiotemporal Seismic Hazard and Risk Assessment of Global M9.0 Megathrust Earthquake Sequences
Supervisors
Improving forecasts of injection-induced seismicity
Supervisors
Publications
Selected publications
01/03/2017A Spatiotemporal Clustering Model for the Third Uniform California Earthquake Rupture Forecast (UCERF3-ETAS)
Bulletin of the Seismological Society of America
A novel approach to assessing nuisance risk from seismicity induced by UK shale gas development, with implications for future policy design
Natural Hazards and Earth System Sciences
Stress transfer from opening hydraulic fractures controls the distribution of induced seismicity
Journal of Geophysical Research: Solid Earth
Recent publications
01/06/2024Impacts of Deep Learning to Detect Induced Seismicity: a Case Study from Preston New Road, UK
85th EAGE Annual Conference & Exhibition
A UK MW catalogue derived from coda envelopes
Geophysical Journal International
Developing, Testing, and Communicating Earthquake Forecasts: Current Practices and Future Directions
Reviews of Geophysics
Equipping for risk: Lessons learnt from the UK shale-gas experience on assessing environmental risks for the future geoenergy use of the deep subsurface
Science of The Total Environment
Evaluation of a Decade-Long Prospective Earthquake Forecasting Experiment in Italy
Seismological Research Letters