Skip to Main Content
Skip Nav Destination
GEOREF RECORD

A probabilistic model to evaluate options for mitigating induced seismic risk

Jan van Elk, Stephen J. Bourne, Steve J. Oates, Julian J. Bommer, Rui Pinho and Helen Crowley
A probabilistic model to evaluate options for mitigating induced seismic risk
Earthquake Spectra (May 2019) 35 (2): 537-564

Abstract

Common responses to induced seismicity are based on control of the anthropogenic activity causing the earthquakes, such as fluid injection or withdrawal, in order to limit either the magnitudes of the events or the level of ground motion to within established thresholds. An alternative risk-mitigation option is seismic retrofitting of the more vulnerable buildings potentially exposed to the ground shaking to reduce the risk to acceptable levels. Optimal mitigation strategies may combine both production control and structural strengthening, for which a probabilistic risk model is required that can estimate the change in hazard caused by production or injection variations and the changes in fragility resulting from structural interventions. Such a risk model has been developed for the Groningen gas field in the Netherlands. The framework for this risk model to inform decision making regarding mitigation strategies can be adapted to other cases of anthropogenically induced seismicity.


ISSN: 8755-2930
EISSN: 1944-8201
Serial Title: Earthquake Spectra
Serial Volume: 35
Serial Issue: 2
Title: A probabilistic model to evaluate options for mitigating induced seismic risk
Affiliation: Nederlandse Aardolie Maatschappij (NAM), Assen, Netherlands
Pages: 537-564
Published: 201905
Text Language: English
Publisher: Earthquake Engineering Research Institute, Berkeley, CA, United States
References: 68
Accession Number: 2021-009929
Categories: SeismologyEngineering geology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sect., geol. sketch maps
N53°04'60" - N54°00'00", E06°19'60" - E70°49'60"
Secondary Affiliation: Shell Global Solutions International, NLD, NetherlandsImperial College London, GBR, United KingdomUniversity of Pavia, ITA, Italy
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202103

or Create an Account

Close Modal
Close Modal