1887

Abstract

Summary

This extended abstract describes a study explaining and demonstrating a method to identify spatial and temporal changes in fault stability from a combined assessment of InSAR and micro-seismic monitoring data. The method uses reservoir deformation inferred from InSAR data to stochastically model a micro-seismic catalogue which is compared to the measured catalogue. Discrepancies and variations in space and time between the modeled and measured catalogue are addressed by variations in stochastic parameters that are related to fault proximity, fault activation and reservoir strain. Knowledge on the transient behavior of these parameters aid in highlighting high risk zones and planning for future reservoir development options.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201902314
2019-09-08
2020-05-29
Loading full text...

Full text loading...

References

  1. Bisdom, K., Cid Alfaro, M., Hindriks, K., Kudarova, A.
    , 2018. Robust Non-Linear Inversion for Reservoir Deformation from Surface Displacement Data. https://doi.org/10.3997/2214-4609.201800719
    [Google Scholar]
  2. Bourne, S.J., Oates, S.J.
    , 2017, Extreme threshold failures within a heterogeneous elastic thin-sheet and the spatial-temporal development of induced seismicity within the Groningen gas field, J. geophys. Res., 122, 10299–10
    [Google Scholar]
  3. Devroye, Luc
    , 1986, Non-Uniform Random Variate Generation, New York, Springer-Verlag.
    [Google Scholar]
  4. Kagan, Y.Y., Jackson, D.D.
    , 2000, Probabilistic forecasting of earthquakes, Geophys. J. Int., 143, 438–453.
    [Google Scholar]
  5. Kositsky, A.P. and Avouac, J.P.
    , 2010, Inverting geodetic time series with a principal component analysis-based inversion method, Journal of Geopys.Res., Vol. 115, B03401, doi:10.1029/2009JB006535
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902314
Loading
/content/papers/10.3997/2214-4609.201902314
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error