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

Dataset · Tue Jun 01 04:00:00 EDT 2021

DOI:https://doi.org/10.15121/1787506· OSTI ID:1787506

Finnila, Aleta ^[1]

---

1. Golder Associates Inc.

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.

• Research Organization: DOE Geothermal Data Repository; Golder Associates Inc.
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
• Contributing Organization: Golder Associates Inc.
• DOE Contract Number: EE0007080
• OSTI ID: 1787506
• Report Number(s): 1317
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

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