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Title: Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data

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. This is a simplified DFN (discrete fracture network) dataset, that was generated using FracMan, for Utah FORGE well 16A(78)-32. A short, well-illustrated, report describing the data is also included in the provided archive file.

Authors:

  1. Golder Associates Inc.
Publication Date:
Other Number(s):
1317
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; CSV; DFN; EGS; Engineered Geothermal System; Enhanced Geothermal System; FORGE; FracMan; Milford; Roosevelt Hot Springs; Roosevelt Hot Springs Geothermal Site; Utah; Utah FORGE; Utah geothermal; discrete fracture network; drilling; energy; engineering; fracturing; geothermal; hydraulic; model; modeling; pressure; processed data; reservoir; stimulation; well; well 16A78-32
OSTI Identifier:
1787506
DOI:
https://doi.org/10.15121/1787506

Citation Formats

Finnila, Aleta. Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data. United States: N. p., 2021. Web. doi:10.15121/1787506.
Finnila, Aleta. Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data. United States. doi:https://doi.org/10.15121/1787506
Finnila, Aleta. 2021. "Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data". United States. doi:https://doi.org/10.15121/1787506. https://www.osti.gov/servlets/purl/1787506. Pub date:Tue Jun 01 04:00:00 UTC 2021
@article{osti_1787506,
title = {Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data},
author = {Finnila, Aleta},
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. This is a simplified DFN (discrete fracture network) dataset, that was generated using FracMan, for Utah FORGE well 16A(78)-32. A short, well-illustrated, report describing the data is also included in the provided archive file.},
doi = {10.15121/1787506},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 01 04:00:00 UTC 2021},
month = {Tue Jun 01 04:00:00 UTC 2021}
}