Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite
This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degree C. Cylindrical samples approximately 40 mm in diameter and 80 mm long were tested at confining pressures of 40 or 70 MPa and an initial pore pressure of 30 MPa using two loading paths: increasing differential stress at constant pore pressure and increasing pore pressure at constant differential stress. AE waveforms were recorded in triggered mode at 50 MS/s and continuously at 10 MS/s, producing more than 1,000 triggered and 10,000 continuous AEs per experiment. Supporting and derived products include stress, strain, pressure, permeability, active-ultrasonic measurements, waveform clusters based on dynamic time warping, AE source locations, spatial-temporal event patterns, and post-failure micro-CT fracture networks where available. The dataset supports investigation of rupture signatures under stress and fluid-driven loading and development of AE classification, geothermal seismic-monitoring, and adaptive traffic-light methods.
Citation Formats
TY - DATA
AB - This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degree C. Cylindrical samples approximately 40 mm in diameter and 80 mm long were tested at confining pressures of 40 or 70 MPa and an initial pore pressure of 30 MPa using two loading paths: increasing differential stress at constant pore pressure and increasing pore pressure at constant differential stress. AE waveforms were recorded in triggered mode at 50 MS/s and continuously at 10 MS/s, producing more than 1,000 triggered and 10,000 continuous AEs per experiment. Supporting and derived products include stress, strain, pressure, permeability, active-ultrasonic measurements, waveform clusters based on dynamic time warping, AE source locations, spatial-temporal event patterns, and post-failure micro-CT fracture networks where available. The dataset supports investigation of rupture signatures under stress and fluid-driven loading and development of AE classification, geothermal seismic-monitoring, and adaptive traffic-light methods.
AU - Nakata, Nori
A2 - Pec, Matej
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - geothermal
KW - energy
KW - AE
KW - Granite
KW - laboratory experiment
KW - permeability
KW - fracture networks
KW - stress
KW - strain
KW - seismic monitoring
KW - raw data
KW - traffic light
LA - English
DA - 2026/09/20
PY - 2026
PB - Lawrence Berkeley National Laboratory
T1 - Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite
UR - https://data.openei.org/submissions/8790
ER -
Nakata, Nori, and Matej Pec. Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite. Lawrence Berkeley National Laboratory, 20 September, 2026, GDR. https://gdr.openei.org/submissions/1874.
Nakata, N., & Pec, M. (2026). Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite. [Data set]. GDR. Lawrence Berkeley National Laboratory. https://gdr.openei.org/submissions/1874
Nakata, Nori and Matej Pec. Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite. Lawrence Berkeley National Laboratory, September, 20, 2026. Distributed by GDR. https://gdr.openei.org/submissions/1874
@misc{OEDI_Dataset_8790,
title = {Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite},
author = {Nakata, Nori and Pec, Matej},
abstractNote = {This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degree C. Cylindrical samples approximately 40 mm in diameter and 80 mm long were tested at confining pressures of 40 or 70 MPa and an initial pore pressure of 30 MPa using two loading paths: increasing differential stress at constant pore pressure and increasing pore pressure at constant differential stress. AE waveforms were recorded in triggered mode at 50 MS/s and continuously at 10 MS/s, producing more than 1,000 triggered and 10,000 continuous AEs per experiment. Supporting and derived products include stress, strain, pressure, permeability, active-ultrasonic measurements, waveform clusters based on dynamic time warping, AE source locations, spatial-temporal event patterns, and post-failure micro-CT fracture networks where available. The dataset supports investigation of rupture signatures under stress and fluid-driven loading and development of AE classification, geothermal seismic-monitoring, and adaptive traffic-light methods.},
url = {https://gdr.openei.org/submissions/1874},
year = {2026},
howpublished = {GDR, Lawrence Berkeley National Laboratory, https://gdr.openei.org/submissions/1874},
note = {Accessed: 2026-10-01}
}
Details
Data from Sep 20, 2026
Last updated Sep 30, 2026
Submitted Sep 21, 2026
Organization
Lawrence Berkeley National Laboratory
Contact
Nori Nakata
510.685.5494
Authors
Original Source
https://gdr.openei.org/submissions/1874Research Areas
Keywords
geothermal, energy, AE, Granite, laboratory experiment, permeability, fracture networks, stress, strain, seismic monitoring, raw data, traffic lightDOE Project Details
Project Name Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction
Project Lead Lauren Boyd
Project Number EE0007080

