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Numerical Modeling for Hydraulic Fracture Prediction

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Numerical modeling on fused silica cylindrical materials for predicting overpressures required to fracture an homogeneous pure (surrogate) material with known mechanical properties similar to igneous rock materials and later compare these values to experimental overpressures obtained in actual fused silica samples at PNNL's lab-scale stimulation system.

Citation Formats

Pacific Northwest National Laboratory. (2016). Numerical Modeling for Hydraulic Fracture Prediction [data set]. Retrieved from https://gdr.openei.org/submissions/871.
Export Citation to RIS
Gupta, Varun. Numerical Modeling for Hydraulic Fracture Prediction. United States: N.p., 26 Apr, 2016. Web. https://gdr.openei.org/submissions/871.
Gupta, Varun. Numerical Modeling for Hydraulic Fracture Prediction. United States. https://gdr.openei.org/submissions/871
Gupta, Varun. 2016. "Numerical Modeling for Hydraulic Fracture Prediction". United States. https://gdr.openei.org/submissions/871.
@div{oedi_3569, title = {Numerical Modeling for Hydraulic Fracture Prediction}, author = {Gupta, Varun.}, abstractNote = {Numerical modeling on fused silica cylindrical materials for predicting overpressures required to fracture an homogeneous pure (surrogate) material with known mechanical properties similar to igneous rock materials and later compare these values to experimental overpressures obtained in actual fused silica samples at PNNL's lab-scale stimulation system.}, doi = {}, url = {https://gdr.openei.org/submissions/871}, journal = {}, number = , volume = , place = {United States}, year = {2016}, month = {04}}

Details

Data from Apr 26, 2016

Last updated Mar 2, 2018

Submitted Nov 19, 2016

Organization

Pacific Northwest National Laboratory

Contact

Carlos Fernandez

509.371.7020

Authors

Varun Gupta

Pacific Northwest National Laboratory

Research Areas

DOE Project Details

Project Name Reservoir Stimulation with Operational Monitory for Creation of Enhanced Geothermal Systems

Project Lead Sean Porse

Project Number FY16 AOP 1.3.2.4

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