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Transport of CO2 in Stimuli-Responsive Fracking Fluid, StimuFrac
CO2 breakthrough experiments in a column packed with sand and filled with StimuFrac fluid or water to learn about transport of the stimuli (CO2) on environments where either water or the stimuli-responsive polymer aqueous solution (StimuFrac) is present. Results suggest co-injecti...
Fernandez, C. Pacific Northwest National Laboratory
Sep 15, 2016
1 Resources
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1 Resources
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StimuFrac Compressibility as a Function of CO2 Molar Fraction
Compressibility values were obtained in a range of pressures at 250degC by employing a fixed volume view cell completely filled with PAA aqueous solution and injecting CO2 at constant flow rate (0.3mL/min). Pressure increase as a function of supercritical CO2 (scCO2) mass fraction...
A., C. Pacific Northwest National Laboratory
Apr 29, 2016
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Summary Fracturing of Coso Samples with StimuFrac
Lab-scale stimulation was performed on Coso samples obtained from a single core (1623 feet TVD, reservoir Coso CGC 18-27) using StimuFrac and control fluid in the absence of stimuli-responsive polymer.
Fernandez, C. Pacific Northwest National Laboratory
Sep 06, 2016
1 Resources
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1 Resources
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Utah FORGE: Well 16A(78)-32 Stimulation Tracer Test Results
This archive contains data from the tracer test performed during the Utah FORGE well 16A(78)-32 stimulation. This includes:
1. the raw data file from Pason in the csv format;
2. a one-page Word document from Pason that explains the headers and units used in their data file;
3. an...
Rose, P. and Barker, B. Energy and Geoscience Institute at the University of Utah
Sep 16, 2022
1 Resources
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1 Resources
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Stimulation at Desert Peak Modeling with the Coupled THM Code FEHM
Numerical modeling of the 2011 shear stimulation at the Desert Peak Well 27-15 using a coupled thermal-hydrological-mechanical simulator. This submission contains the finite element heat and mass transfer (FEHM) executable code for a 64-bit PC Windows-7 machine, and the input and ...
Kelkar, S. et al Los Alamos National Laboratory
Apr 30, 2013
1 Resources
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1 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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EGS Collab Experiment 1: Baseline Cross-well Seismic
As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and ...
Schwering, P. et al Sandia National Laboratories
Apr 30, 2018
9 Resources
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9 Resources
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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
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100 Resources
0 Stars
Publicly accessible