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Utah FORGE 5-2419: Fluid Injection Experiments on Granite Samples at Four Different Temperatures

This dataset contains results from four fluid injection experiments at 24 C, 69 C, 111 C, and 140 C using a triaxial loading apparatus ("Temco"). Tests were conducted on a Utah FORGE granite sample with a 30 degree inclined fracture. Confining pressure was maintained at 10 MPa, wh...

Wang, J. and Elsworth, D. Pennsylvania State University

Sep 05, 2024
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
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Utah FORGE: Slide-Hold-Slide Experiments on Gneiss at Increased Temperature

Included are data from triaxial, single-inclined-fracture friction experiments. The experiments were performed with slide-hold-slide protocol on Utah FORGE gneiss at increased temperature. With a ~10 MPa normal stress, temperatures vary between experiments from room temperature u...

Eijsink, A. and Elsworth, D. Pennsylvania State University

Jul 25, 2023
24 Resources
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Utah FORGE 5-2419: Fluid Injection Experiments on Granite Samples at Four Different Temperatures

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Utah FORGE: Slide-Hold-Slide Experiments on Gneiss at Increased Temperature