Numerical Modeling for Hydraulic Fracture Prediction
Access & Use Information
Downloads & Resources
-
Hydraulic Fracture Numerical Modeling.pptxPOWERPOINT
This presentation summarizes numerical modeling performed to predict...
-
Landing PageLanding Page
Dates
Metadata Created Date | January 11, 2025 |
---|---|
Metadata Updated Date | January 20, 2025 |
Metadata Source
- Data.json Data.json Metadata
Harvested from OpenEI data.json
Additional Metadata
Resource Type | Dataset |
---|---|
Metadata Created Date | January 11, 2025 |
Metadata Updated Date | January 20, 2025 |
Publisher | Pacific Northwest National Laboratory |
Maintainer | |
Identifier | https://data.openei.org/submissions/7061 |
Data First Published | 2016-04-26T06:00:00Z |
Data Last Modified | 2018-03-02T00:20:15Z |
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 | f3281d36-dfbd-4e19-8a7a-e09f471af69e |
Harvest Source Id | 7cbf9085-0290-4e9f-bec1-91653baeddfd |
Harvest Source Title | OpenEI data.json |
Homepage URL | https://gdr.openei.org/submissions/871 |
License | https://creativecommons.org/licenses/by/4.0/ |
Old Spatial | {"type":"Polygon","coordinates":-119.28972244263,46.340291424019,-119.28972244263,46.340291424019,-119.28972244263,46.340291424019,-119.28972244263,46.340291424019,-119.28972244263,46.340291424019} |
Program Code | 019:006 |
Projectlead | Sean Porse |
Projectnumber | FY16 AOP 1.3.2.4 |
Projecttitle | Reservoir Stimulation with Operational Monitory for Creation of Enhanced Geothermal Systems |
Source Datajson Identifier | True |
Source Hash | 8c02b801434255db6848fc3434dd352f09da96a859703b0769e211edbef7babc |
Source Schema Version | 1.1 |
Spatial | {"type":"Polygon","coordinates":-119.28972244263,46.340291424019,-119.28972244263,46.340291424019,-119.28972244263,46.340291424019,-119.28972244263,46.340291424019,-119.28972244263,46.340291424019} |
Didn't find what you're looking for? Suggest a dataset here.