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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

    Metadata Updated: September 22, 2025

    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 video slide presentation outlines the development of a near-real-time Adaptive Traffic Light System (ATLS) that combines machine-learning seismicity forecasting, generative AI ground-motion prediction, and high-pressure laboratory experiments to improve induced seismicity forecasting and reservoir engineering for Enhanced Geothermal Systems (EGS). This presentation was featured at the Utah FORGE R&D Annual Workshop on September 9, 2025. The workshop offered a valuable opportunity to review the progress of Research and Development projects funded under Solicitation 2022-2, which aim to improve our understanding of the key factors influencing Enhanced Geothermal System (EGS) reservoir and resource development.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

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    Dates

    Metadata Created Date September 22, 2025
    Metadata Updated Date September 22, 2025

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 22, 2025
    Metadata Updated Date September 22, 2025
    Publisher Lawrence Berkeley National Laboratory
    Maintainer
    Identifier https://data.openei.org/submissions/8530
    Data First Published 2025-09-18T06:00:00Z
    Data Last Modified 2025-09-21T20:38:55Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Data Quality True
    Harvest Object Id 905c591a-3ed7-486b-8575-3cf3476b7784
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1786
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-112.916367,38.483935,-112.879748,38.483935,-112.879748,38.5148,-112.916367,38.5148,-112.916367,38.483935}
    Program Code 019:006
    Projectlead Lauren Boyd
    Projectnumber EE0007080
    Projecttitle Utah FORGE
    Source Datajson Identifier True
    Source Hash d887dcbdc84915e3e3c73c9b33b8f66556948e869741be744483946722398e6c
    Source Schema Version 1.1
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