Utah FORGE Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data
This dataset includes files used to fit planar fractures through the preliminary earthquake catalogs of the three stages of the April 2022 well 16A(78)-32 stimulation which is linked bellow. These planar features have been used to update the FORGE reference Discrete Fracture Network (DFN) model. The files are provided to encourage other modelers to use additional workflows to find additional/alternative features. To this end, the dataset includes the cleaned earthquake catalog data translated to the FORGE reference model global reference frame, the well trajectory of 16A(78)-32 in those same coordinates, the fit 15 planar features in csv format, and a pdf file with slides illustrating the process used to fit the features. A recorded presentation of this material is available from the October 2022 FORGE Modeling and Simulation Forum which is also linked below.
Citation Formats
WSP Golder. (2022). Utah FORGE Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data [data set]. Retrieved from https://dx.doi.org/10.15121/1901784.
Finnila, Aleta. Utah FORGE Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data. United States: N.p., 27 Oct, 2022. Web. doi: 10.15121/1901784.
Finnila, Aleta. Utah FORGE Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data. United States. https://dx.doi.org/10.15121/1901784
Finnila, Aleta. 2022. "Utah FORGE Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data". United States. https://dx.doi.org/10.15121/1901784. https://gdr.openei.org/submissions/1426.
@div{oedi_5810, title = {Utah FORGE Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data}, author = {Finnila, Aleta.}, abstractNote = {This dataset includes files used to fit planar fractures through the preliminary earthquake catalogs of the three stages of the April 2022 well 16A(78)-32 stimulation which is linked bellow. These planar features have been used to update the FORGE reference Discrete Fracture Network (DFN) model. The files are provided to encourage other modelers to use additional workflows to find additional/alternative features. To this end, the dataset includes the cleaned earthquake catalog data translated to the FORGE reference model global reference frame, the well trajectory of 16A(78)-32 in those same coordinates, the fit 15 planar features in csv format, and a pdf file with slides illustrating the process used to fit the features. A recorded presentation of this material is available from the October 2022 FORGE Modeling and Simulation Forum which is also linked below.}, doi = {10.15121/1901784}, url = {https://gdr.openei.org/submissions/1426}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {10}}
https://dx.doi.org/10.15121/1901784
Details
Data from Oct 27, 2022
Last updated May 22, 2024
Submitted Oct 28, 2022
Organization
WSP Golder
Contact
Aleta Finnila
425.883.0777
Authors
Original Source
https://gdr.openei.org/submissions/1426Research Areas
Keywords
geothermal, energy, DFN, Utah FORGE, stimulation, well stimulation, fracing, fracking, discrete fracture network, well fracture, rock fractures, well fractures, well 16A78-32, Utah FORGE wells, Well 16A78-32 stimulation, Excel, csv, pdf, EGS, modeling, characterization, FORGEDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080