Research
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Earthquake Source Analysis: Data-driven Approach + Model-driven Approach
(1) DATA-driven Approach: Generalized Inversion Technique
My Ph.D. research investigates induced earthquakes in North Texas, focusing on those linked to oil and gas activities. Using the Generalized Inversion Technique (GIT), I analyze (1) path attenuation, (2) site amplification, and (3) source spectra. From the source spectra, I derive stress drop values. While stress drops for injection-induced earthquakes align with global intraplate estimates (1-10 MPa), the DFW Airport earthquake sequence exhibits lower stress drops (~1 MPa), likely due to fluid effects from nearby injection wells (within 1.5 km).
(2) MODEL-driven Approach: BICYCLE + Pore pressure diffusion
This study aims to investigate the cause of stress drop variation in induced seismicity near the DFWA, Texas. We develop a numerical model that incorporates fluid injection on a fault governed by rate-and-state friction to simulate the coupled processes of pore-pressure diffusion, aseismic slip, and dynamic rupture.
KEY POINTS
Fluid-pressure diffusion modifies fault criticality and induces aseismic slip with lower stress drop values (<1 MPa).
Diverse simulations generate a broad spectrum of slip modes, with non-self-similar scaling, similar to observed in the DFWA sequence.
The lower-stress drop events in the DFWA sequence may be less dynamic ruptures due to complex interactions between seismic and aseismic slip.
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