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  • Seismological Society of America (SSA)  (3)
  • Conseil de l'Europe  (2)
  • Seismological Society of America  (2)
  • M. Bonatz, Inst. f. Theoret. Geod., Univ. Bonn, for the European Netw. on Geodynamics  (1)
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  • 1
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    Site selection and interpretation of trenching results along the Peel boundary fault (2001)
    Conseil de l'Europe
    In:  Cahiers du Centre Européen de Géodynamique et de Séismologie, Luxembourg, Conseil de l'Europe, vol. 18, no. 4a, pp. 53-56, pp. 2083, (ISBN 1-86239-117-3)
    Details
    Publication Date: 2001
    Keywords: Earthquake hazard ; Geol. aspects ; paleo ; Seismicity ; Fault zone ; The ; Netherlands ; Germany ; Roermond ; GPR ; electrical ; Tomography ; Liege ; KNMI ; LGIH ; NITG-NTO
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    BIBLIOGRAPHY SEISMOLOGY
  • 2
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    Long-term seismic activity in the lower Rhine Embayment (2001)
    Conseil de l'Europe
    In:  Cahiers du Centre Européen de Géodynamique et de Séismologie, Luxembourg, Conseil de l'Europe, vol. 18, no. 2, pp. 35-38, pp. 2501, (ISBN: 0-12-018847-3)
    Details
    Publication Date: 2001
    Keywords: Earthquake hazard ; Seismicity ; Niederrhein ; Bucht ; Germany
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    BIBLIOGRAPHY SEISMOLOGY
  • 3
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    Geophysical investigation along the Peel boundary fault for paleoseismological site selection in the Netherlands (1999)
    M. Bonatz, Inst. f. Theoret. Geod., Univ. Bonn, for the European Netw. on Geodynamics
    In:  Journées Luxembourgeoises de Géodynamique, 86th session, Bonn, M. Bonatz, Inst. f. Theoret. Geod., Univ. Bonn, for the European Netw. on Geodynamics, vol. 10, no. 47, pp. 39-43
    Details
    Publication Date: 1999
    Keywords: Geol. aspects ; paleo ; Seismicity ; Roer ; trenching ; Tectonics ; Geo-Radar ; Geoelectrics ; Tomography ; pilot ; study
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    BIBLIOGRAPHY SEISMOLOGY
  • 4
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    A Monte Carlo Method for Probabilistic Hazard Assessment of Induced Seismicity due to Conventional Natural Gas Production (2015)
    Seismological Society of America (SSA)
    Details
    Publication Date: 2015-06-09
    Description: A Monte Carlo approach to probabilistic seismic-hazard analysis is developed for a case of induced seismicity associated with a compacting gas reservoir. The geomechanical foundation for the method is the work of Kostrov (1974) and McGarr (1976) linking total strain to summed seismic moment in an earthquake catalog. Our Monte Carlo method simulates future seismic hazard consistent with historical seismic and compaction datasets by sampling probability distributions for total seismic moment, event locations and magnitudes, and resulting ground motions. Ground motions are aggregated over an ensemble of simulated catalogs to give a probabilistic representation of the ground-motion hazard. This approach is particularly well suited to the specific nature of the time-dependent induced seismicity considered. We demonstrate the method by applying it to seismicity induced by reservoir compaction following gas production from the Groningen gas field. A new ground-motion prediction equation (GMPE) tailored to the Groningen field has been derived by calibrating an existing GMPE with local strong-motion data. For 2013–2023, we find a 2% chance of exceeding a peak ground acceleration of 0.57 g and a 2% chance of exceeding a peak ground velocity of 22 cm/s above the area of maximum compaction. Disaggregation shows that earthquakes of M w  4–5, at the shortest hypocentral distances of 3 km, and ground motions two standard deviations above the median make the largest contributions to this hazard. Uncertainty in the hazard is primarily due to uncertainty about the future fraction of induced strains that will be seismogenic and how ground motion and its variability will scale to larger magnitudes.
    Print ISSN: 0037-1106
    Electronic ISSN: 1943-3573
    Topics: Geosciences , Physics
    Published by Seismological Society of America (SSA)
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  • 5
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    Developing an Application-Specific Ground-Motion Model for Induced Seismicity (2016)
    Seismological Society of America (SSA)
    Details
    Publication Date: 2016-01-27
    Description: A key element of quantifying both the hazard and risk due to induced earthquakes is a suite of appropriate ground-motion prediction equations (GMPEs) that encompass the possible shaking levels due to such events. Induced earthquakes are likely to be of smaller magnitude and shallower focal depth than the tectonic earthquakes for which most GMPEs are derived. Furthermore, whereas GMPEs for moderate-to-large magnitude earthquakes are usually derived to be transportable to different locations and applications, taking advantage of the limited regional dependence observed for such events, the characteristics of induced earthquakes warrant the development of application-specific models. A preliminary ground-motion model for induced seismicity in the Groningen gas field in The Netherlands is presented as an illustration of a possible approach to the development of these equations. The GMPE is calibrated to local recordings of small-magnitude events and captures the epistemic uncertainty in the extrapolation to larger magnitude considered in the assessment of the resulting hazard and risk.
    Print ISSN: 0037-1106
    Electronic ISSN: 1943-3573
    Topics: Geosciences , Physics
    Published by Seismological Society of America (SSA)
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  • 6
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    Erratum The Relationship between M and M L : A Review and Application to Induced Seismicity in the Groningen Gas Field, The Netherlands (2019)
    Seismological Society of America (SSA)
    Details
    Publication Date: 2019
    Description: 〈span〉In response to induced earthquakes associated with conventional gas production in the Groningen gas field in the Netherlands, several networks of seismic monitoring instruments have been installed in the region (〈a href="https://pubs.geoscienceworld.org/srl#rf5"〉Dost 〈span〉et al.〈/span〉, 2017〈/a〉). The recordings recovered from these networks have been of fundamental importance to the development of ground‐motion prediction models that underpin hazard and risk modeling to inform decision making regarding mitigation measures (〈a href="https://pubs.geoscienceworld.org/srl#rf10"〉van Elk 〈span〉et al.〈/span〉, 2019〈/a〉). In late 2018, it was discovered that the surface accelerographs of the G‐network had been installed with a calibration error such that the majority of the instruments were recording half of the correct ground‐motion amplitudes. The error was swiftly corrected via the website of Royal Netherlands Meteorological Institute (KNMI), which operates the networks. The calibration error explains, for example, the relatively low amplitudes observed in some of the KNMI network recordings in figure 3 of 〈a href="https://pubs.geoscienceworld.org/srl#rf1"〉Bommer, Dost, 〈span〉et al.〈/span〉 (2017)〈/a〉.〈/span〉
    Print ISSN: 0895-0695
    Electronic ISSN: 1938-2057
    Topics: Geosciences
    Published by Seismological Society of America (SSA)
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  • 7
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    Comparing Waveforms by Digitization and Simulation of Waveforms for Four Parkfield Earthquakes Observed in Station DBN, The Netherlands (2006)
    Seismological Society of America
    Details
    Publication Date: 2006-09-01
    Description: Waveforms from the 2004 Parkfield earthquake are compared with three earlier events in 1922, 1934, and 1966, all recorded in station DBN, The Netherlands, at 80 degrees epicentral distance. Digitization of analog records and simulation of digital data enabled the correlation of surface waves for all events. Normalized correlation values are greater than 0.8 for the Parkfield events themselves, compared to values less than 0.5 for correlation with other events in the same region, either with a different mechanism at close distances (1983 Coalinga and 2003 San Simeon) or with the same mechanism, but at larger distances along the same fault system (1984 Morgan Hill). We find that waveforms from sources with the same mechanism show the highest correlations. Waveform amplitudes of the Parkfield events are similar within the accuracy of the calibration of the instrumentation.
    Print ISSN: 0037-1106
    Electronic ISSN: 1943-3573
    Topics: Geosciences , Physics
    Published by Seismological Society of America
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  • 8
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    A Monte Carlo Method for Probabilistic Hazard Assessment of Induced Seismicity due to Conventional Natural Gas Production (2015)
    Seismological Society of America
    Details
    Publication Date: 2015-05-20
    Description: A Monte Carlo approach to probabilistic seismic‐hazard analysis is developed for a case of induced seismicity associated with a compacting gas reservoir. The geomechanical foundation for the method is the work of Kostrov (1974) and McGarr (1976) linking total strain to summed seismic moment in an earthquake catalog. Our Monte Carlo method simulates future seismic hazard consistent with historical seismic and compaction datasets by sampling probability distributions for total seismic moment, event locations and magnitudes, and resulting ground motions. Ground motions are aggregated over an ensemble of simulated catalogs to give a probabilistic representation of the ground‐motion hazard. This approach is particularly well suited to the specific nature of the time‐dependent induced seismicity considered.We demonstrate the method by applying it to seismicity induced by reservoir compaction following gas production from the Groningen gas field. A new ground‐motion prediction equation (GMPE) tailored to the Groningen field has been derived by calibrating an existing GMPE with local strong‐motion data. For 2013–2023, we find a 2% chance of exceeding a peak ground acceleration of 0.57g and a 2% chance of exceeding a peak ground velocity of 22  cm/s above the area of maximum compaction. Disaggregation shows that earthquakes of Mw 4–5, at the shortest hypocentral distances of 3 km, and ground motions two standard deviations above the median make the largest contributions to this hazard. Uncertainty in the hazard is primarily due to uncertainty about the future fraction of induced strains that will be seismogenic and how ground motion and its variability will scale to larger magnitudes.
    Print ISSN: 0037-1106
    Electronic ISSN: 1943-3573
    Topics: Geosciences , Physics
    Published by Seismological Society of America
    Location Call Number Expected Availability
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    PAPER CURRENT
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