Currently Active Research Projects
GMG-4 (2018) - Understanding conditions for stable/unstable fault slip induced by fluid injections
- Use the existing codes to model a field experiment on fluid injection.
- Develop codes for coupling between evolving compaction/dilation of the fault gouge and fluid flow.
Larochelle, S., Lapusta, N., Ampuero, J.-P., & Cappa, F. (2021). Constraining fault friction and stability with fluid-injection field experiments. Geophysical Research Letters, 48, e2020GL091188. https://doi.org/10.1029/2020GL091188. [PDF] *GMGPUB2
Heimisson, Elías Rafn and Rudnicki, John and Lapusta, Nadia (2021) Dilatancy and Compaction of a Rate-and-State Fault in a Poroelastic Medium: Linearized Stability Analysis. Journal of Geophysical Research. Solid Earth, 126 (8). Art. No. e2021JB022071. ISSN 2169-9313. doi:10.1029/2021jb022071. [PDF] *GMGPUB9
GMG-6 (2018) - Experimental investigation of the interaction between fluids and failure of rock faults in shear
- Conduct controlled and highly instrumented laboratory experiments with fluid injection into a pre-existing fault to study evolution in friction/pore pressure and triggering of fast/slow slip under various conditions.
- Measure slip, slip rate, and shear stress evolution along the fault during the injection process.
- Compare measurements with existing theories on the stability of fault slip.
Gori, Marcello and Rubino, Vito and Rosakis, Ares J. et al. (2021) Dynamic rupture initiation and propagation in a fluid-injection laboratory setup with diagnostics across multiple temporal scales. Proceedings of the National Academy of Sciences of the United States of America, 118 (51). Art. No. e2023433118. ISSN 0027-8424. doi:10.1073/pnas.2023433118. [PDF] [SUP] *GMGPUB8
GMG-9 (2018) - Application of DAS in monitoring microseismicity and subsurface structure changes
- Use the DAS instrument contributed by OptaSense through GMG to collect data in the Pasadena area.
- Analyze the DAS data and develop new methods in microseismicity detection, and structure monitoring.
- Optimize the data collection and processing procedures to improve the monitoring accuracy and efficiency.
Wang, Xin and Williams, Ethan F. and Karrenbach, Martin et al. (2020) Rose Parade Seismology: Signatures of Floats and Bands on Optical Fiber. Seismological Research Letters. ISSN 0895-0695. (In Press) https://resolver.caltech.edu/CaltechAUTHORS:20200506-105533707
Zhan, Zhongwen (2020) Distributed Acoustic Sensing Turns Fiber‐Optic Cables into Sensitive Seismic Antennas. Seismological Research Letters, 91 (1). pp. 1-15. ISSN 0895-0695. https://resolver.caltech.edu/CaltechAUTHORS:20200116-083302517
GMG-11 (2022) - Forecast and control of injection-induced seismicity
- WP1: Develop and test a probabilistic method to disentangle direct and indirect triggering of injection induced earthquakes. The method will provide an estimate of the probability that any particular earthquake was caused by an injection or a previous earthquake.
- WP2: Test the method on a selection of examples of injection-induced seismicity, in particular from Oklahoma or the Montney Basin (British Columbia).
- WP3: Compare the empirical spatio-temporal kernel functions with predictions from stress-based simulations (combining poroelastic stress calculation an earthquake nucleation based on rate-and-state friction). Assess the possibility of seismicity control through numerical experiments.
GMG-12 (2022) - A vertically-integrated multiphase reservoir model to enable real-time forecasting of seismicity during carbon storage operation
- Task 1: Incorporate real thermodynamic properties of CO2 into single-phase flow model to understand how initial temperature and in-situ pressure variations impact pressure diffusion in the Gronnigen site
- Task 2: Implement the vertically-integrated two-phase flow framework proposed by Jenkins et al 2019 to simulate two-phase injection into a single aquifer laye uniform thickness
- Task 3: Extend the model to consider two-phase injection into a single aquifer layer of variable thickness, hydraulic and elastic properties.Test this model using parameters from the Gronnigen site.
- Task 4: Incorporate the new model into the seismicity forecasting framework at GMG (Smieth et al. 2022).
GMG-13 (2023) - A Discrete Fault Network model to forecast induced earthquakes, creep and tremors
The project aims at the development of a new modeling capability to simulate fault reactivation (seismic slip, aseismic and tremors) due to a fluid injection for a network of faults. The faults will be assumed to have known geometry and governed by rate-and-state friction. The model will allow taking into account pore pressure diffusion, poro-elastic and thermos-elastic stress changes. The model will make use of the lumped-mass method. This approximation speeds up the computation time making it possible to model a 3-D fault network with non-planar geometries. The model will be benchmarked against dynamic simulations done with the Boundary Integral Method and compared with simple simulations amenable to analytical approximations.
- WP1: Benchmarking with simulations run with the Boundary Integral Method.
- WP2: Comparison with semi-analytical approximations (cf, Segall and Lu, 2016).
- WP3: Comparison with case examples of injection induced seismicity (Coso, Otaniemi).