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Data for Uncontained Ruptures Reduce Energetics of Triggered Seismicity: Laboratory Fault Reactivation Experiments

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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 -
Export Citation to RIS
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

Derek Elsworth

Pennsylvania State University

Matthew Roseboom

Pennsylvania State University

Pengliang Yu

Pennsylvania State University

Zhi Geng

Chinese Academy of Sciences - Wuhan

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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