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Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection - 2024 Annual Workshop Presentation

Metadata Updated: January 20, 2025

This is a presentation on the Wellbore Fracture Imaging Using Inflow Detection by Stanford University and Sandia National Laboratory, presented by Roland Horde. This is a video presentation on wells, both before and after stimulation, using chloride or other ions to map fractures and estimate their flow magnitudes. This research is being done by Stanford University. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 13, 2024.

Access & Use Information

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

Downloads & Resources

Dates

Metadata Created Date January 11, 2025
Metadata Updated Date January 20, 2025

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date January 11, 2025
Metadata Updated Date January 20, 2025
Publisher Energy and Geoscience Institute at the University of Utah
Maintainer
Doi 10.15121/2440873
Identifier https://data.openei.org/submissions/7719
Data First Published 2024-09-13T06:00:00Z
Data Last Modified 2024-09-13T19:12:00Z
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
Datagov Dedupe Retained 20250120155001
Harvest Object Id efd73531-ad4d-4ce5-b943-d079d77a46b4
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL https://gdr.openei.org/submissions/1649
License https://creativecommons.org/licenses/by/4.0/
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Program Code 019:006
Projectlead Lauren Boyd
Projectnumber EE0007080
Projecttitle Utah FORGE
Source Datajson Identifier True
Source Hash 10d542feb0e489621a844da9e18ae2ab5ae39810aaab5022496fa2418d1ee2d3
Source Schema Version 1.1
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