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New Mexico Play Fairway Analysis: Particle Tracking ArcGIS Map Packages

These are map packages used to visualize geochemical particle-tracking analysis results in ArcGIS. It includes individual map packages for several regions of New Mexico including: Acoma, Rincon, Gila, Las Cruces, Socorro and Truth or Consequences.

Pepin, J. New Mexico Institute of Mining and Technology

Nov 15, 2015
6 Resources
0 Stars
Publicly accessible

Magnetic Test Loop Particle Retention Data for REE Extraction from Geothermal Fluids

Measurements of particle extraction efficiency under various flow rate and magnetic power conditions

McGrail, P. and Liu, J. Pacific Northwest National Laboratory

Jul 27, 2018
2 Resources
0 Stars
Publicly accessible

Utah FORGE: Ground Motion Study Report

Paragon Geophysical contracted Urban Seismic Specialists to conduct A Ground Motion Study, on their Forge 3D project located near in Milford Utah .The test was conducted to measure the effects of the vibrator array on a pipeline owned by Kern River. Testing began November 22nd, an...

Moore, J. Energy and Geoscience Institute at the University of Utah

Mar 16, 2018
1 Resources
0 Stars
Publicly accessible

High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing

High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.

Salehi, S. and Vivas, C. University of Oklahoma

Nov 30, 2021
6 Resources
0 Stars
Publicly accessible

SMP and Fracture Modeling

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...

Salehi, S. et al University of Oklahoma

Oct 01, 2021
4 Resources
0 Stars
Publicly accessible

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
3 Resources
0 Stars
Publicly accessible

SMP Preparation, Programming, and Characterization

Salehi, S. et al University of Oklahoma

Oct 01, 2021
4 Resources
0 Stars
Curated

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...

White, M. et al Pacific Northwest National Laboratory

Feb 04, 2020
100 Resources
0 Stars
Publicly accessible