Hazard and Risk Assessment tool for the Groningen Gas Field, the Netherlands ...
In October 2012, NAM (Nederlandse Aardolie Maatschappij BV) commenced with the study and data acquisition research program for induced seismicity in the Groningen gas field, North Netherlands. One of the aims of this program was to prepare a probabilistic seismic hazard and risk assessment (HRA) for the full area affected by the earthquakes induced by gas production from the Groningen gas field. To this end, a code was developed in C software, to calculate hazard and risk metrics. The tool uses the Monte Carlo approach, which was thought to be the most flexible approach allowing in the future... Mehr ...
Dokumenttyp: | Research Data |
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Erscheinungsdatum: | 2024 |
Verlag/Hrsg.: |
Utrecht University
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Schlagwörter: | Natural Sciences - Earth and related environmental sciences 1.5 / Groningen gas field / gas field / antropogenic setting / induced seismicity / earthquake / HRA / SHRA / Hazard and Risk Assessment / Seismic Hazard and Risk Assessment / C / Monte Carlo / Python / EPOS-NL / EPOS Multi-Scale Laboratories / field system model / induced seismicity model |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29160617 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.24416/uu01-z58l9k |
In October 2012, NAM (Nederlandse Aardolie Maatschappij BV) commenced with the study and data acquisition research program for induced seismicity in the Groningen gas field, North Netherlands. One of the aims of this program was to prepare a probabilistic seismic hazard and risk assessment (HRA) for the full area affected by the earthquakes induced by gas production from the Groningen gas field. To this end, a code was developed in C software, to calculate hazard and risk metrics. The tool uses the Monte Carlo approach, which was thought to be the most flexible approach allowing in the future potentially very complex computations to be incorporated in the tool and a large range of potential risk metrics to be evaluated. A drawback of the Monte Carlo approach is the high required computing time and large memory requirement. For optimal performance, the authors suggest to run the HRA-code on a mainframe computer. Post-processing suites are implemented and provided in Python. NAM is now making these codes ...