t.transform: Time transformation

In amignan/rseismTLS: Induced Seismicity Traffic Light System

Description

Transforms earthquake occurrence times following the Ogata (1988) method based on the integration of the induced seismicity model of model_rate.val(), to then be used as input in stat.KS_uniform().

Usage

## S3 method for class 'transform'
t(data, theta)

Arguments

data	a list containing all the necessary point data: seism an earthquake catalogue data frame of parameters t (time in days) and m (magnitude) inj matching injection profile data frame of parameters t (time in days), dV (flow rate in cubic metre/day) and V (cumulative injected volume in cubic metres) m0 the minimum magnitude cutoff of the earthquake catalogue ts shut-in time (in days)
theta	the list of fitted model parameters: a_fb the underground feedback activation tau the mean relaxation time b the slope of the Gutenberg-Richter law

Details

See examples of induced seismicity applications in Mignan et al. (2017, 2019) and Broccardo et al. (2017).

Value

the transformed time vector

References

Broccardo M., Mignan A., Wiemer S., Stojadinovic B., Giardini D. (2017), Hierarchical Bayesian Modeling of Fluid‐Induced Seismicity. Geophysical Research Letters, 44 (22), 11,357-11,367, doi: 10.1002/2017GL075251

Mignan A., Broccardo M., Wiemer S., Giardini D. (2017), Induced seismicity closed-form traffic light system for actuarial decision-making during deep fluid injections. Sci. Rep., 7, 13607, doi: 10.1038/s41598-017-13585-9

Mignan A., Broccardo M., Wiemer S., Giardini D. (2019), Autonomous Decision-Making Against Induced Seismicity in Deep Fluid Injections. In: Ferrari A., Laloui L. (eds), Energy Geotechnics, SEG 2018, Springer Series in Geomechanics and Geoengineering, 369-376, doi: 10.1007/978-3-319-99670-7_46

Ogata Y. (1988), Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes. J. Am. Stat. Assoc., 83 (401), 9-27

See Also

stat.KS_uniform, model_rate.val

amignan/rseismTLS documentation built on July 4, 2020, 1:04 p.m.