Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling
This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques. The reports describe simulations of hydraulic fracture propagation, fluid-mechanical interactions, and induced microseismicity. The dataset also includes history-matching of net pressure and analyses of fracture growth in naturally fractured geothermal reservoirs. The slides summarize key findings and future research directions.
Citation Formats
TY - DATA
AB - This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques. The reports describe simulations of hydraulic fracture propagation, fluid-mechanical interactions, and induced microseismicity. The dataset also includes history-matching of net pressure and analyses of fracture growth in naturally fractured geothermal reservoirs. The slides summarize key findings and future research directions.
AU - Sharma, Mukul
A2 - Cao, Meng
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1988295
KW - Utah FORGE
KW - geothermal
KW - fracture modelling
KW - discrete fracture modelling
KW - fracture propagation modelling
KW - Utah FORGE fracture modelling
KW - DFN
KW - well 16A78-32
KW - well 58-32
KW - fracture propagation
KW - EGS
KW - enhanced geothermal systems
KW - stimulation
KW - processed data
LA - English
DA - 2023/02/07
PY - 2023
PB - University of Texas
T1 - Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling
UR - https://doi.org/10.15121/1988295
ER -
Sharma, Mukul, and Meng Cao. Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling. University of Texas, 7 February, 2023, GDR. https://doi.org/10.15121/1988295.
Sharma, M., & Cao, M. (2023). Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling. [Data set]. GDR. University of Texas. https://doi.org/10.15121/1988295
Sharma, Mukul and Meng Cao. Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling. University of Texas, February, 7, 2023. Distributed by GDR. https://doi.org/10.15121/1988295
@misc{OEDI_Dataset_8374,
title = {Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling},
author = {Sharma, Mukul and Cao, Meng},
abstractNote = {This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques. The reports describe simulations of hydraulic fracture propagation, fluid-mechanical interactions, and induced microseismicity. The dataset also includes history-matching of net pressure and analyses of fracture growth in naturally fractured geothermal reservoirs. The slides summarize key findings and future research directions.},
url = {https://gdr.openei.org/submissions/1475},
year = {2023},
howpublished = {GDR, University of Texas, https://doi.org/10.15121/1988295},
note = {Accessed: 2025-05-04},
doi = {10.15121/1988295}
}
https://dx.doi.org/10.15121/1988295
Details
Data from Feb 7, 2023
Last updated Mar 13, 2025
Submitted Feb 10, 2023
Organization
University of Texas
Contact
Mukul M. Sharma
512.471.3257
Authors
Original Source
https://gdr.openei.org/submissions/1475Research Areas
Keywords
Utah FORGE, geothermal, fracture modelling, discrete fracture modelling, fracture propagation modelling, Utah FORGE fracture modelling, DFN, well 16A78-32, well 58-32, fracture propagation, EGS, enhanced geothermal systems, stimulation, processed dataDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080
