Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs

Publicly accessible License 

This dataset contains seismic event catalogs from the hydraulic stimulation of wells 16A(78)-32 and 16B(78)-32 at the Utah FORGE site in April 2024. The data was collected by Geo Energy Suisse (GES) using a variety of seismic monitoring technologies, including 3-component (3C) geophones and distributed acoustic sensing (DAS) systems. These technologies were deployed across several locations, including wells 16A, 16B, and Delano-1, with sensor arrays at multiple depths to capture microseismic activity during the stimulations.

The catalogs provide both real-time and manually checked seismic event locations, with detailed parameters such as trigger conditions, velocity models, and data acquisition settings. The dataset includes information on the stimulation stages, event rates, and hydraulic injection conditions for each well, with a report detailing the data acquisition configuration and seismic event location methodologies. Users will need to reference the included report for a complete understanding of the sensor network, data processing techniques, and accuracy considerations.

Citation Formats

University of Utah Seismograph Stations. (2024). Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs [data set]. Retrieved from https://dx.doi.org/10.15121/2455012.
Export Citation to RIS
Dyer, Ben, Karvounis, Dimitrios, Meier, Peter, Fiori, Remi, and Jaques, Paul. Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs. United States: N.p., 30 Apr, 2024. Web. doi: 10.15121/2455012.
Dyer, Ben, Karvounis, Dimitrios, Meier, Peter, Fiori, Remi, & Jaques, Paul. Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs. United States. https://dx.doi.org/10.15121/2455012
Dyer, Ben, Karvounis, Dimitrios, Meier, Peter, Fiori, Remi, and Jaques, Paul. 2024. "Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs". United States. https://dx.doi.org/10.15121/2455012. https://gdr.openei.org/submissions/1674.
@div{oedi_1674, title = {Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs}, author = {Dyer, Ben, Karvounis, Dimitrios, Meier, Peter, Fiori, Remi, and Jaques, Paul.}, abstractNote = {This dataset contains seismic event catalogs from the hydraulic stimulation of wells 16A(78)-32 and 16B(78)-32 at the Utah FORGE site in April 2024. The data was collected by Geo Energy Suisse (GES) using a variety of seismic monitoring technologies, including 3-component (3C) geophones and distributed acoustic sensing (DAS) systems. These technologies were deployed across several locations, including wells 16A, 16B, and Delano-1, with sensor arrays at multiple depths to capture microseismic activity during the stimulations.

The catalogs provide both real-time and manually checked seismic event locations, with detailed parameters such as trigger conditions, velocity models, and data acquisition settings. The dataset includes information on the stimulation stages, event rates, and hydraulic injection conditions for each well, with a report detailing the data acquisition configuration and seismic event location methodologies. Users will need to reference the included report for a complete understanding of the sensor network, data processing techniques, and accuracy considerations.}, doi = {10.15121/2455012}, url = {https://gdr.openei.org/submissions/1674}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {04}}
https://dx.doi.org/10.15121/2455012

Details

Data from Apr 30, 2024

Last updated Oct 21, 2024

Submitted Sep 29, 2024

Organization

University of Utah Seismograph Stations

Contact

Kris Pamkow

801.585.6484

Authors

Ben Dyer

Geo Energy Suisse

Dimitrios Karvounis

Geo Energy Suisse

Peter Meier

Geo Energy Suisse

Remi Fiori

Geo Energy Suisse

Paul Jaques

Geo Energy Suisse

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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