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Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling

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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.

Discrete Fracture Propagation reports.zip

This .zip folder containing two reports and a slide presentation regarding the University of Texas at Austin's Utah FORGE R&D project on fracture modelling and propagat... more
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Citation Formats

University of Texas. (2023). Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling [data set]. Retrieved from https://dx.doi.org/10.15121/1988295.
Export Citation to RIS
Sharma, Mukul, and Cao, Meng. Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling. United States: N.p., 07 Feb, 2023. Web. doi: 10.15121/1988295.
Sharma, Mukul, & Cao, Meng. Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling. United States. https://dx.doi.org/10.15121/1988295
Sharma, Mukul, and Cao, Meng. 2023. "Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling". United States. https://dx.doi.org/10.15121/1988295. https://gdr.openei.org/submissions/1475.
@div{oedi_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.}, doi = {10.15121/1988295}, url = {https://gdr.openei.org/submissions/1475}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {02}}
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

msharma@mail.utexas.edu

512.471.3257

Authors

Mukul Sharma

University of Texas at Austin

Meng Cao

University of Texas at Austin

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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