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Fracture Sustainability Test, Pre and Post-Test Photomicrographs
The primary objective of this research is to understand how different rock types, mineral and fluid compositions, and fracture surface textures determine the longevity of fracture apertures, so that selection of reservoir rock can be economically optimized to reduce future refract...
Dobson, P. et al Lawrence Berkeley National Laboratory
Sep 26, 2016
9 Resources
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9 Resources
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Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction 2025 Workshop Presentation
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Nori Nakata. This vid...
Nakata, N. Lawrence Berkeley National Laboratory
Sep 18, 2025
3 Resources
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3 Resources
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Utah FORGE 6-3656: Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting 2026 Workshop Presentation
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Dr. Nori Nakata. The ...
Nakata, N. et al Lawrence Berkeley National Laboratory
Sep 30, 2026
3 Resources
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3 Resources
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Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite
This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degr...
Nakata, N. and Pec, M. Lawrence Berkeley National Laboratory
Sep 20, 2026
1 Resources
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1 Resources
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QuakeCastNet: Source Code for Forecasting of Injection-Induced Seismicity
This submission houses the companion code for the manuscript by Zhengfa Bi (Lawrence Berkeley National Laboratory) and Nori Nakata (Lawrence Berkeley National Laboratory; MIT). Both the companion code and manuscript are included in the resources section of this submission.
Fluid ...
Nakata, N. and Bi, Z. Lawrence Berkeley National Laboratory
Sep 20, 2026
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2 Resources
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