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This is a presentation on Designing, Characterizing & Optimizing Proppant and Flow Monitoring Materials for a Utah FORGE Engineered Geothermal System by Oklahoma State University, presented by Dr. Mileva Radonjic. The project is developing advanced proppant materials, flow-monitor...
This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Professor. The project's objective was to develop a methodology ...
This is a presentation on the Geothermal Multiset Straddle (GMS) for High Temperature Applications by Welltec, presented by Ricardo Vasques. This video slide presentation discusses the development of (1) an annular multiset isolation system; (2) a stimulation straddle isolation sy...
This is a presentation on Design and Implementation of a Novel Multi-Frac Stimulation Concept in Utah FORGE EGS by the University of Oklahoma, presented by Dr. Ahmad Ghassemi. The project is evaluating a novel multi-fracture stimulation approach designed to improve reservoir condu...
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 Geothermal Multiset Straddle (GMS) for High-Temperature Applications by Welltec Inc., presented by Ricardo Reves Vasques. The project is developing a multiset open-hole isolation system capable of withstanding geothermal well conditions and enabling effec...
This is the current induced seismicity mitigation plan (ISMP) for the Utah FORGE project. Information that was collected during Phases 1 and 2 of the Utah FORGE project has been incorporated, as have literature searches and risk assessments. The purpose of this report is to identi...
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 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. The project is evaluating the performance of electric...
This is a presentation on Machine Learning and Seismology for Real-Time Decision-Making in Stimulation by the University of Utah, presented by Dr. No'am Dvory. The project is developing real-time seismic monitoring, machine-learning, and geomechanical risk assessment tools to supp...
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 dataset contains drilling core data from well 16B(78)-32, including PDF documents with flattened core images annotated by feature type and core interval, as well as spreadsheets detailing feature morphologies by depth, planar feature measurements, and planar feature orientati...
This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic...
The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...
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 is a set of data related to the stimulation program at Utah FORGE well 16A(78)-32 during April, 2022. This includes daily reports, 1 second Pason data, tracer data, and shear stimulation data and information including a report of an evolving prognosis for the stimulation oper...
This report describes minifrac tests conducted in the 16B(78)-32 well at the Utah FORGE site to characterize subsurface stresses, including the magnitude and orientation of the minimum and maximum horizontal stresses and the magnitude of the vertical stress. A minifrac test was co...
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 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 dataset contains time series data from the four Tensor Optical Fiber Strainmeters at Utah FORGE, recorded during all stages of the April 2024 hydraulic stimulations of wells 16A(78)-32 and 16B(78)-32. The data span from midnight UTC on April 4 through April 18, 2024, and are ...
This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 129 through 130. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field act...
This submittal includes the field-test data collected during stress tests conducted in the Utah FORGE 16B(78)-32 wellbore to measure/characterize the stresses in the geothermal reservoir. The type of stress test performed is referred to as a mini-frac test or a micro-frac test. Th...
This dataset contains processed low-frequency Distributed Acoustic Sensing (LF-DAS) data collected between April 2 and April 12, 2024, during the Utah FORGE stimulation sequence involving wells 16A and 16B. The DAS measurements were acquired using a Silixa Carina interrogator unit...
The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This large-scale set-up report is about the system that has been constructed to...
The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This pipe preparation report is based on the test pipe that was procured and pr...
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