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This is a presentation on Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics (Global Technology Connection), presented by Dr. Jesse Williams. The project is developing machine-learning and physics-informed models to impro...
This report documents the post-hydraulic fracturing extended circulation test between Utah FORGE wells 16A and 16B conducted in August 2024. In well 16B, fiber optic measurements of Rayleigh frequency shift distributed strain sensing (RFS-DSS) and distributed temperature sensing ...
This dataset includes data from injection/fall-off experiments conducted in controlled laboratory settings. The aim is to investigate the physics governing fracture closure and the associated stress measurements during hydraulic fracturing. These time series data include flow rat...
This report documents a series of block-scale hydraulic fracturing experiments, simulating Utah FORGE conditions to investigate how different combinations of in situ stress regimes, well orientations, and thermal stress conditions influence fracture initiation and propagation. The...
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemica...
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Dr. Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to esti...
This is a presentation on the Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity project by Lawrence Livermore National Laboratory, presented by Dr. Fan (Frank) Fei. The project's objective was to employ a combination of high-fidelity simulations and tr...
This is a presentation on the Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity project by Lawrence Livermore National Laboratory, presented by Dr. Matteo Cusini. The project's objective was to employ a combination of high-fidelity simulations and true...
This is a presentation on High-Temperature Testing of Proppants for EGS and Simulation of Electromagnetic Fracture Mapping Using Electrically-Conductive Proppants by Stevens Institute of Technology, presented by Dr. Cheng Chen. This video slide presentation describes laboratory te...
This submission contains curated injection parameter datasets from the 2022 and 2024 stimulation experiments conducted at the Utah FORGE site, along with the report documenting the data processing workflow. The datasets were developed as part of Project 6-3712: Probabilistic Estim...
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...
This final report summarizes the work done on Utah FORGE project 2-2404. The project aimed to develop a methodology integrating alternative well bore and core-based methods and reservoir-scale focal mechanisms (FM) to better estimate the reservoir stress at FORGE. The project obje...
This dataset contains the final technical report and closeout presentation for Utah FORGE Project 4-2541, which focused on the optimization and validation of a multistage plug and perf stimulation treatment design for enhanced geothermal systems. The report documents drilling, com...
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 ...
This is the final topical report for the Phase 2B Utah FORGE project, which is located near Roosevelt Hot Springs, Utah. This PDF format report details results associated with the conceptual geologic model, deep well 58-32, rock geomechanics, reservoir temperatures, seismic survey...
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...
This is a set of 42 core photos, in boxes, from Utah FORGE well 78B-32. The photos show the core both wet and dry from depths of 6700 6737 feet and 8502 8538 feet.
This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...
This is the final technical report documenting laboratory experiments and modeling conducted to characterize the thermo-poromechanical behavior of fractured crystalline rocks for application to Utah FORGE. The report includes measurements of poroelastic and thermo-poroelastic prop...
This dataset includes an Excel file with the results of direct shear tests to investigate the mechanical and geophysical response of saturated joints. Tests were conducted on induced tension-fractured Sierra White granite joints in a custom water pressurized chamber. The preparati...
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...
This is a presentation on the Design and Implementation of a Novel Multi-Frac Stimulation Concept by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the design and implementation of a reservoir stimulation concept improving near-wel...
Images of core samples collected from Utah FORGE well 16A(78)-32. These images were created by stitching together multiple photographs resulting in a circumferential view of the cores exterior in two dimensions. Core footages (measured depths) are indicated in the file names, and ...
This dataset contains a microseismic event catalog acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Sept 5th 2024, near the Utah FORGE geothermal site. The microseismic events are located using data collected from various Utah FORGE...
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