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Utah FORGE 3-2417: Low Frequency Distributed Acoustic Sensing Data from 16A/16B Stimulation - April, 2024

Publicly accessible License 

This dataset contains processed low-frequency Distributed Acoustic Sensing (LF-DAS) data collected between April 2 and April 12, 2024, during the Utah FORGE stimulation sequence involving wells 16A and 16B. The DAS measurements were acquired using a Silixa Carina interrogator unit on the FOGMORE distributed fiber optic sensing (DFOS) cable installed in well 16B. Installation details for the cable can be found at the report link below. Due to pre-existing damage to the cable, the signal-to-noise ratio is slightly lower than expected.

The data has been processed with a 0.5 Hz low-pass filter and a median filter in time, and values are expressed in units of nanostrain per second. All timestamps are in UTC. Data are provided in CSV format, with each file corresponding to a specific time segment. The repository also includes a channel map and a metadata catalog to support interpretation. Please see the included README for detailed dataset information. This dataset was produced under the FOGMORE R&D project (Fiber Optic MOnitoring for Reservoir Evolution), Utah FORGE R&D Project 3-2417, and was assembled by researchers from Rice University, Lawrence Berkeley National Laboratory, and partners, with documentation finalized in July 2025.

Citation Formats

TY - DATA AB - This dataset contains processed low-frequency Distributed Acoustic Sensing (LF-DAS) data collected between April 2 and April 12, 2024, during the Utah FORGE stimulation sequence involving wells 16A and 16B. The DAS measurements were acquired using a Silixa Carina interrogator unit on the FOGMORE distributed fiber optic sensing (DFOS) cable installed in well 16B. Installation details for the cable can be found at the report link below. Due to pre-existing damage to the cable, the signal-to-noise ratio is slightly lower than expected. The data has been processed with a 0.5 Hz low-pass filter and a median filter in time, and values are expressed in units of nanostrain per second. All timestamps are in UTC. Data are provided in CSV format, with each file corresponding to a specific time segment. The repository also includes a channel map and a metadata catalog to support interpretation. Please see the included README for detailed dataset information. This dataset was produced under the FOGMORE R&D project (Fiber Optic MOnitoring for Reservoir Evolution), Utah FORGE R&D Project 3-2417, and was assembled by researchers from Rice University, Lawrence Berkeley National Laboratory, and partners, with documentation finalized in July 2025. AU - Zhu, Rosie A2 - Podrasky, David A3 - Coleman, Thomas A4 - Maldaner, Carlos A5 - Ma, Yuanyuan A6 - Ajo-Franklin, Jonathan DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - geothermal KW - energy KW - Utah FORGE KW - EGS KW - Enhanced Geothermal Systems KW - Distributed Acoustic Sensing KW - DAS KW - low-frequency DAS KW - fiber optic sensing KW - Silixa Carina KW - FOGMORE KW - well 16B KW - stimulation KW - nanostrain KW - DFOS KW - time-series data KW - processed data KW - subsurface monitoring KW - seismic KW - LF-DAS KW - geophysics LA - English DA - 2025/07/23 PY - 2025 PB - Rice University T1 - Utah FORGE 3-2417: Low Frequency Distributed Acoustic Sensing Data from 16A/16B Stimulation - April, 2024 UR - https://data.openei.org/submissions/8468 ER -
Export Citation to RIS
Zhu, Rosie, et al. Utah FORGE 3-2417: Low Frequency Distributed Acoustic Sensing Data from 16A/16B Stimulation - April, 2024 . Rice University, 23 July, 2025, GDR. https://gdr.openei.org/submissions/1749.
Zhu, R., Podrasky, D., Coleman, T., Maldaner, C., Ma, Y., & Ajo-Franklin, J. (2025). Utah FORGE 3-2417: Low Frequency Distributed Acoustic Sensing Data from 16A/16B Stimulation - April, 2024 . [Data set]. GDR. Rice University. https://gdr.openei.org/submissions/1749
Zhu, Rosie, David Podrasky, Thomas Coleman, Carlos Maldaner, Yuanyuan Ma, and Jonathan Ajo-Franklin. Utah FORGE 3-2417: Low Frequency Distributed Acoustic Sensing Data from 16A/16B Stimulation - April, 2024 . Rice University, July, 23, 2025. Distributed by GDR. https://gdr.openei.org/submissions/1749
@misc{OEDI_Dataset_8468, title = {Utah FORGE 3-2417: Low Frequency Distributed Acoustic Sensing Data from 16A/16B Stimulation - April, 2024 }, author = {Zhu, Rosie and Podrasky, David and Coleman, Thomas and Maldaner, Carlos and Ma, Yuanyuan and Ajo-Franklin, Jonathan}, abstractNote = {This dataset contains processed low-frequency Distributed Acoustic Sensing (LF-DAS) data collected between April 2 and April 12, 2024, during the Utah FORGE stimulation sequence involving wells 16A and 16B. The DAS measurements were acquired using a Silixa Carina interrogator unit on the FOGMORE distributed fiber optic sensing (DFOS) cable installed in well 16B. Installation details for the cable can be found at the report link below. Due to pre-existing damage to the cable, the signal-to-noise ratio is slightly lower than expected.

The data has been processed with a 0.5 Hz low-pass filter and a median filter in time, and values are expressed in units of nanostrain per second. All timestamps are in UTC. Data are provided in CSV format, with each file corresponding to a specific time segment. The repository also includes a channel map and a metadata catalog to support interpretation. Please see the included README for detailed dataset information. This dataset was produced under the FOGMORE R\&D project (Fiber Optic MOnitoring for Reservoir Evolution), Utah FORGE R\&D Project 3-2417, and was assembled by researchers from Rice University, Lawrence Berkeley National Laboratory, and partners, with documentation finalized in July 2025. }, url = {https://gdr.openei.org/submissions/1749}, year = {2025}, howpublished = {GDR, Rice University, https://gdr.openei.org/submissions/1749}, note = {Accessed: 2025-08-02} }

Details

Data from Jul 23, 2025

Last updated Aug 1, 2025

Submitted Jul 23, 2025

Organization

Rice University

Contact

Jonathan Ajo-Franklin

510.735.4350

Authors

Rosie Zhu

Rice University

David Podrasky

Silixa LLC

Thomas Coleman

Silixa LLC

Carlos Maldaner

Silixa LLC

Yuanyuan Ma

Rice University

Jonathan Ajo-Franklin

Rice University

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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