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SMP Preparation, Programming, and Characterization

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
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Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON1 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON6 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON7 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON8 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Dec 06, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON9 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 27, 2016
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 14, 2016
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON2 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Jul 06, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON3 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON4 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Jan 12, 2016
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON5 Raw Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Raleigh Housing Authority Duct Sealing Evaluation

In multifamily and attached buildings, manual duct sealing methods are often impractical or very costly and disruptive because of the difficulty in accessing leakage sites. In this project, two retrofit duct sealing techniques manually applied sealants and injecting a spray sealan...

Dentz, J. et al The Levy Partnership, Inc Systems Building Research Alliance

Apr 27, 2016
18 Resources
0 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
0 Stars
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Low Temperature Geothermal Resource Assessment for Desalination in United States

This data is a compilation of well observations from the Southern Methodist University (SMU) and Association of American State Geologists (AASG), location of identified low temperature geothermal systems from United States Geological Survey (USGS), and low temperature geothermal w...

Akar, S. and Turchi, C. National Renewable Energy Laboratory

Sep 30, 2016
6 Resources
0 Stars
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EGS Collab: Modeling and Simulation Working Group Teleconference Series (99-128)

This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 99 through 128. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field acti...

White, M. et al Pacific Northwest National Laboratory

Jun 07, 2022
31 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON9 Processed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 14, 2016
1 Resources
0 Stars
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Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA

TO4 Task 3.1 K Hovnanian Chicago, IL DOE Challenge Home Program Certified Home Constructed and Verified Specifications DOE Challenge Home Building envelope Ceiling R-49 blown fiberglass, Grade I Walls 2x4 framing @ 16 o.c. with R-13 fiberglass batts, Grade I and 1"" R-5 extrude...

Loomis, H. and Kerrigan, P. Building Science Corporation

Apr 27, 2016
6 Resources
0 Stars
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SMP Preparation, Programming, and Characterization

Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

Sodar Vaisala Triton Wind Profiler, AON1 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON6 Raw Data

Sodar Vaisala Triton Wind Profiler, AON7 Raw Data

Sodar Vaisala Triton Wind Profiler, AON8 Raw Data

Sodar Vaisala Triton Wind Profiler, AON9 Raw Data

Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON2 Raw Data

Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON3 Raw Data

Sodar Vaisala Triton Wind Profiler, AON4 Raw Data

Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON5 Raw Data

Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

Raleigh Housing Authority Duct Sealing Evaluation

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Low Temperature Geothermal Resource Assessment for Desalination in United States

EGS Collab: Modeling and Simulation Working Group Teleconference Series (99-128)

Sodar Vaisala Triton Wind Profiler, AON9 Processed Data

Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA