Affiliation:
1. Division of Geological and Planetary Sciences (GPS) California Institute of Technology Pasadena CA USA
2. Mechanical and Civil Engineering (MCE) California Institute of Technology Pasadena CA USA
3. Shell Global Solutions Amsterdam The Netherlands
Abstract
AbstractDeterministic earthquake prediction remains elusive, but time‐dependent probabilistic seismicity forecasting seems within reach thanks to the development of physics‐based models relating seismicity to stress changes. Difficulties include constraining the earthquake nucleation model and fault initial stress state. Here, we analyze induced earthquakes from the Groningen gas field, where production is strongly seasonal, and seismicity began 3 decades after production started. We use the seismicity response to stress variations to constrain the earthquake nucleation process and calibrate models for time‐dependent forecasting of induced earthquakes. Remarkable agreements of modeled and observed seismicity are obtained when we consider (a) the initial strength excess, (b) the finite duration of earthquake nucleation, and (c) the seasonal variations of gas production. We propose a novel metric to quantify the nucleation model's ability to capture the damped amplitude and the phase of the seismicity response to short‐timescale (seasonal) stress variations which allows further tightening the model's parameters.
Funder
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
National Science Foundation
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Cited by
6 articles.
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