Cape EGS: Frisco 2-P Well Stimulation Microseismic Data

Dadi, Sireesh; Titov, Aleksei

doi:10.15121/2479174

Title: Cape EGS: Frisco 2-P Well Stimulation Microseismic Data

Dataset
Other Related Research

Abstract

This dataset contains microseismic data acquired during the Frisco 2-P well stimulation project led by Fervo Energy, conducted between June 1 and June 11, 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic Sensing (DAS) fiber in 16B, and three 3-component geophones located in wells 56-32, 78B, and 32. The dataset is structured in SEGY format, where the first nine traces represent data from the geophones, and the remaining traces capture DAS data from well 16B. Each SEGY file in this dataset contains triggered microseismic events, with event initiation based on Short-Time Average over Long-Time Average (STA/LTA) detection criteria during the stimulation process. Files are grouped by time intervals and named following the structure "[WellPad][WellName][Month]_[Year]Divine_Trigger[EventNumber].sgy," indicating well pad, well name, date, and event number. Sampling parameters include a spatial sampling of approximately 2 meters for DAS channels and a temporal sampling rate of 2000 Hz, with each data record spanning 1.2 seconds. The files' coordinates are referenced to the location of the FORGE 16A-32 wellhead, positioned at UTM coordinates: Easting 334641.1891 m and Northing 4263443.693 m. The geographic coordinates for this origin are 38.50402147 latitude and -112.8963897 longitude, withmore »« less

Authors:

;

Fervo Energy

Publication Date:: Thu Sep 19 04:00:00 UTC 2024

Other Number(s):: 1664

DOE Contract Number:: EE0007080

Research Org.:: DOE Geothermal Data Repository; Fervo Energy

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: Fervo Energy

Subject:: 15 GEOTHERMAL ENERGY; 16A; 16B; 3C; Cape; DAS; EGS; Fervo; Frisco; Frisco 2-P; Milford; SEGY; STA/LTA; Utah FORGE; development; distributed; distributed acoustic sensing; energy; event detection; fiber optic sensing; geophone; geophysics; geothermal; microseismic; monitoring; raw data; stimulation; triggered event

OSTI Identifier:: 2479174

DOI:: https://doi.org/10.15121/2479174

Citation Formats


                    Dadi, Sireesh, and Titov, Aleksei. Cape EGS: Frisco 2-P Well Stimulation Microseismic Data.  United States: N. p., 2024. 
        Web.  doi:10.15121/2479174.

Copy to clipboard


                    Dadi, Sireesh, & Titov, Aleksei. Cape EGS: Frisco 2-P Well Stimulation Microseismic Data.  United States.  doi:https://doi.org/10.15121/2479174

Copy to clipboard


                    Dadi, Sireesh, and Titov, Aleksei. 2024.  
"Cape EGS: Frisco 2-P Well Stimulation Microseismic Data".  United States.  doi:https://doi.org/10.15121/2479174.  https://www.osti.gov/servlets/purl/2479174. Pub date:Thu Sep 19 04:00:00 UTC 2024

Copy to clipboard


                    
@article{osti_2479174,

  title        = {Cape EGS: Frisco 2-P Well Stimulation Microseismic Data},

  author       = {Dadi, Sireesh and Titov, Aleksei},

  abstractNote = {This dataset contains microseismic data acquired during the Frisco 2-P well stimulation project led by Fervo Energy, conducted between June 1 and June 11, 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic Sensing (DAS) fiber in 16B, and three 3-component geophones located in wells 56-32, 78B, and 32. The dataset is structured in SEGY format, where the first nine traces represent data from the geophones, and the remaining traces capture DAS data from well 16B. Each SEGY file in this dataset contains triggered microseismic events, with event initiation based on Short-Time Average over Long-Time Average (STA/LTA) detection criteria during the stimulation process. Files are grouped by time intervals and named following the structure "[WellPad][WellName][Month]_[Year]Divine_Trigger[EventNumber].sgy," indicating well pad, well name, date, and event number. Sampling parameters include a spatial sampling of approximately 2 meters for DAS channels and a temporal sampling rate of 2000 Hz, with each data record spanning 1.2 seconds. The files' coordinates are referenced to the location of the FORGE 16A-32 wellhead, positioned at UTM coordinates: Easting 334641.1891 m and Northing 4263443.693 m. The geographic coordinates for this origin are 38.50402147 latitude and -112.8963897 longitude, with an elevation of 1650.0249 meters above sea level.},

  doi          = {10.15121/2479174},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Sep 19 04:00:00 UTC 2024},

  month        = {Thu Sep 19 04:00:00 UTC 2024}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15121/2479174

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Cape EGS: Frisco Pad Wells Flow Test Microseismic Data

Dataset Dadi, Sireesh ; Kanu, Obinna

This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th - Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic Sensing (DAS) fiber in 16B, and two 3-component geophones located in wells 56-32 and 78B. The dataset is structured in SEGY format, where the first six traces represent data from the geophones, and the remaining traces capture DAS data from well 16B. Each SEGY file in this dataset contains triggered microseismic events, with event initiation basedmore »« less
Improved Microseismicity Detection During Newberry EGS Stimulations

Dataset Templeton, Dennise

Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate themore »« less
Improved Microseismicity Detection During Newberry EGS Stimulations

Dataset Templeton, Dennise

Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate themore »« less
EGS Collab Experiment 2: Microseismic Monitoring

Dataset Hopp, Chet

This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to study and validate models of geothermal systems by injecting high-pressure fluids into rock formations 1200-1500 meters below the surface, inducing microseismic events. The seismic monitoring system included 16 three-component accelerometers and a 24-channel hydrophone array, installed in boreholes surrounding the test area. Data were recorded at high sampling rates using a continuous waveform recording system to monitormore »« less
Newberry Volcano EGS Demonstration Well 55-29 Stimulation Data

Dataset Cladouhos, Trenton T

The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to run for weeks and deliver large volumes of water at moderate well-head pressure. Second, to stimulate multiple zones, AltaRock developed thermo-degradable zonal isolation materials (TZIMs) to seal off fractures in a geothermal well to stimulate secondary and tertiary fracture zones. The TZIMs degrade within weeks, resulting in an optimized injection/ production profile ofmore »« less

Similar Records