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.
Discrete Fracture Propagation reports.zip
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.
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
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