Utah FORGE: Discrete Fracture Network (DFN) Data

Finnila, Aleta; Podgorney, Robert

doi:10.15121/1776595

Title: Utah FORGE: Discrete Fracture Network (DFN) Data

Dataset
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Abstract

The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 16A(78)-32. These fracture sets are fully stochastic and do not contain the deterministic set that matches the pilot well 58-32 FMI data. Well 58-32 has been completed and 16A(78)-32 is to be drilled as part of Phase 3. The original .fab files are not included due to redundancy. The *.fabgz data for the 800m and 1200m depth areas are in the native FracMan format and have been compressed using Gzip. Filtered data for the 800m depth area includes .csv spreadsheets, native FracMan (.fab), and GOCAD (.ts) files that are in a compressed zip format. The file titled "SGW 2020 Finnila and Podgorney DFN fracture files on GDR.pdf" is a description of the data and should be reviewed prior to data use.

Authors:

Finnila, Aleta; Podgorney, Robert

Golder Associates Inc.

Publication Date:: Wed Jun 24 00:00:00 EDT 2020

Other Number(s):: 1222

DOE Contract Number:: EE0007080

Research Org.:: DOE Geothermal Data Repository; Golder Associates Inc.

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

Collaborations:: Golder Associates Inc.

Subject:: 15 GEOTHERMAL ENERGY; DFN; Discrete Fracture Network; EGS; FORGE; FracMan; Golder; Milford; Utah FORGE; Utah geothermal; drilling; energy; engineering; fracture; fracture modelling; fracturing; geothermal; hydraulic; hydraulic fracturing; hydroshear; inflated; modeling; pore pressure; pressure; reservoir; reservoir planning; simulation; stimulation; stress

OSTI Identifier:: 1776595

DOI:: https://doi.org/10.15121/1776595

Citation Formats


                    Finnila, Aleta, and Podgorney, Robert. Utah FORGE: Discrete Fracture Network (DFN) Data.  United States: N. p., 2020. 
        Web.  doi:10.15121/1776595.

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                    Finnila, Aleta, & Podgorney, Robert. Utah FORGE: Discrete Fracture Network (DFN) Data.  United States.  doi:https://doi.org/10.15121/1776595

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                    Finnila, Aleta, and Podgorney, Robert. 2020.  
"Utah FORGE: Discrete Fracture Network (DFN) Data".  United States.  doi:https://doi.org/10.15121/1776595.  https://www.osti.gov/servlets/purl/1776595. Pub date:Wed Jun 24 00:00:00 EDT 2020

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@article{osti_1776595,

  title        = {Utah FORGE: Discrete Fracture Network (DFN) Data},

  author       = {Finnila, Aleta and Podgorney, Robert},

  abstractNote = {The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 16A(78)-32. These fracture sets are fully stochastic and do not contain the deterministic set that matches the pilot well 58-32 FMI data. Well 58-32 has been completed and 16A(78)-32 is to be drilled as part of Phase 3. The original .fab files are not included due to redundancy. The *.fabgz data for the 800m and 1200m depth areas are in the native FracMan format and have been compressed using Gzip. Filtered data for the 800m depth area includes .csv spreadsheets, native FracMan (.fab), and GOCAD (.ts) files that are in a compressed zip format. The file titled "SGW 2020 Finnila and Podgorney DFN fracture files on GDR.pdf" is a description of the data and should be reviewed prior to data use.},

  doi          = {10.15121/1776595},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jun 24 00:00:00 EDT 2020},

  month        = {Wed Jun 24 00:00:00 EDT 2020}

}

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DOI: https://doi.org/10.15121/1776595

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