Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments
The dataset contains raw mechanical data from laboratory fault reactivation experiments on pre-stressed granite/granitoid samples, along with experimental parameters and MATLAB processing code for data deduction. The raw time-series data were recorded using a triaxial-shear apparatus with ISCO pumps and an LVDT sensor, and include pressure, pump volume, flow rate, timestamp, and axial displacement measurements. A README is included with column descriptions, units, notes on dry experimental conditions, and processing guidance.
This dataset supports a study that presents a unified model for forecasting the maximum magnitude of earthquakes triggered by fluid injection. The model incorporates fault pre-stress and distinguishes between two rupture regimes: contained ruptures, where slip is limited to the pressurized zone, and uncontained ruptures, where rupture extends beyond the pressurized reservoir but self-arrests before becoming runaway. We derive a simple linear scaling between seismic moment and injected volume that holds for both regimes. However, the dependence on fault pre-stress (S) shows opposite behavior: normalized moment decreases with increasing pre-stress for uncontained ruptures, while it increases for contained ruptures. As a result, higher pre-stress unexpectedly reduces the size and energetics of uncontained ruptures compared to contained ones. The predictions are validated through laboratory experiments on pre-stressed faults using discrete pressurized patches, dynamic rupture simulations, and field observations. The model successfully reproduces scaling relations across ~18 orders of magnitude in seismic moment and ~6 orders in length scale.
Citation Formats
TY - DATA
AB - The dataset contains raw mechanical data from laboratory fault reactivation experiments on pre-stressed granite/granitoid samples, along with experimental parameters and MATLAB processing code for data deduction. The raw time-series data were recorded using a triaxial-shear apparatus with ISCO pumps and an LVDT sensor, and include pressure, pump volume, flow rate, timestamp, and axial displacement measurements. A README is included with column descriptions, units, notes on dry experimental conditions, and processing guidance.
This dataset supports a study that presents a unified model for forecasting the maximum magnitude of earthquakes triggered by fluid injection. The model incorporates fault pre-stress and distinguishes between two rupture regimes: contained ruptures, where slip is limited to the pressurized zone, and uncontained ruptures, where rupture extends beyond the pressurized reservoir but self-arrests before becoming runaway. We derive a simple linear scaling between seismic moment and injected volume that holds for both regimes. However, the dependence on fault pre-stress (S) shows opposite behavior: normalized moment decreases with increasing pre-stress for uncontained ruptures, while it increases for contained ruptures. As a result, higher pre-stress unexpectedly reduces the size and energetics of uncontained ruptures compared to contained ones. The predictions are validated through laboratory experiments on pre-stressed faults using discrete pressurized patches, dynamic rupture simulations, and field observations. The model successfully reproduces scaling relations across ~18 orders of magnitude in seismic moment and ~6 orders in length scale.
AU - Elsworth, Derek
A2 - Roseboom, Matthew
A3 - Yu, Pengliang
A4 - Geng, Zhi
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Injection-induced seismicity
KW - Fault pre-stress
KW - Seismic moment scaling
KW - Rupture regimes
KW - induced seismicity
KW - triggered seismicity
KW - fault reactivation
KW - fluid injection
KW - earthquake magnitude
KW - forecasting
KW - rupture mechanics
KW - contained rupture
KW - uncontained rupture
KW - seismic moment
KW - laboratory experiments
KW - raw data
KW - triaxial shear
KW - granite
KW - granitoid
KW - geomechanics
KW - shear displacement
KW - axial displacement
KW - MATLAB
LA - English
DA - 2026/04/13
PY - 2026
PB - Pennsylvania State University
T1 - Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments
UR - https://data.openei.org/submissions/8713
ER -
Elsworth, Derek, et al. Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments. Pennsylvania State University, 13 April, 2026, GDR. https://gdr.openei.org/submissions/1831.
Elsworth, D., Roseboom, M., Yu, P., & Geng, Z. (2026). Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments. [Data set]. GDR. Pennsylvania State University. https://gdr.openei.org/submissions/1831
Elsworth, Derek, Matthew Roseboom, Pengliang Yu, and Zhi Geng. Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments. Pennsylvania State University, April, 13, 2026. Distributed by GDR. https://gdr.openei.org/submissions/1831
@misc{OEDI_Dataset_8713,
title = {Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments},
author = {Elsworth, Derek and Roseboom, Matthew and Yu, Pengliang and Geng, Zhi},
abstractNote = {The dataset contains raw mechanical data from laboratory fault reactivation experiments on pre-stressed granite/granitoid samples, along with experimental parameters and MATLAB processing code for data deduction. The raw time-series data were recorded using a triaxial-shear apparatus with ISCO pumps and an LVDT sensor, and include pressure, pump volume, flow rate, timestamp, and axial displacement measurements. A README is included with column descriptions, units, notes on dry experimental conditions, and processing guidance.
This dataset supports a study that presents a unified model for forecasting the maximum magnitude of earthquakes triggered by fluid injection. The model incorporates fault pre-stress and distinguishes between two rupture regimes: contained ruptures, where slip is limited to the pressurized zone, and uncontained ruptures, where rupture extends beyond the pressurized reservoir but self-arrests before becoming runaway. We derive a simple linear scaling between seismic moment and injected volume that holds for both regimes. However, the dependence on fault pre-stress (S) shows opposite behavior: normalized moment decreases with increasing pre-stress for uncontained ruptures, while it increases for contained ruptures. As a result, higher pre-stress unexpectedly reduces the size and energetics of uncontained ruptures compared to contained ones. The predictions are validated through laboratory experiments on pre-stressed faults using discrete pressurized patches, dynamic rupture simulations, and field observations. The model successfully reproduces scaling relations across ~18 orders of magnitude in seismic moment and ~6 orders in length scale.},
url = {https://gdr.openei.org/submissions/1831},
year = {2026},
howpublished = {GDR, Pennsylvania State University, https://gdr.openei.org/submissions/1831},
note = {Accessed: 2026-06-23}
}
Details
Data from Apr 13, 2026
Last updated Jun 22, 2026
Submitted May 28, 2026
Organization
Pennsylvania State University
Contact
Matthew Roseboom
610.790.7402
Authors
Original Source
https://gdr.openei.org/submissions/1831Research Areas
Keywords
Injection-induced seismicity, Fault pre-stress, Seismic moment scaling, Rupture regimes, induced seismicity, triggered seismicity, fault reactivation, fluid injection, earthquake magnitude, forecasting, rupture mechanics, contained rupture, uncontained rupture, seismic moment, laboratory experiments, raw data, triaxial shear, granite, granitoid, geomechanics, shear displacement, axial displacement, MATLABDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080

