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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Analytical model for fluid flow distribution in an Enhanced Geothermal Systems (EGS)
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The impact of effective fractured rock mass properties on development of flow channeling in enhanced geothermal systems
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Shockwave and plasma assisted rock cracking for geothermal drilling
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Pairing geothermal technology and solar photovoltaics for net-zero energy homes
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Multi-criteria spatial screening and uncertainty analysis applied to direct-use geothermal projects
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Machine Learning to Characterize Regional Geothermal Reservoirs in the Western USA
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Long-Term High-Temperature High-Pressure Cable for Geothermal Logging Tools - Frequency Response
Frequency Response of the full length of the Prysmian Cable with 100 ft the cable placed in the oven. One set of S-parameter data was collected at room temperature (22 °C) and the second at 300 °C after 5 days of baking.
Computer Programs For Analysis Of Thermally Reactive Tracer Tests In Geothermal Reservoirs
The Tracer Analysis Toolbox (TAT) is a stand-alone executable software package that focuses on reservoir monitoring, using changes in concentration of thermally degrading tracers between and injection well and a production well to reflect the temperature-time histories along flow paths through the reservoir. By conducting such tests periodically, the thermal evolution of the flow paths connecting injection wells to production wells can be monitored. Because this approach is sensitive to temperature along the whole path, it can detect changes well before they occur at the distal end of the path (i.e., the production well). Thus, the thermally degrading tracer method provides early detection of thermal decline before it impacts that well. The goal of TAT is to simplify planning of a reactive tracer monitoring campaign and interpretation of results by providing: (1) tracer test planning and analysis tools to define the necessary kinetic parameters, injection concentrations, and other tracer parameters that are suitable for the expected reservoir residence time and temperature, (2) identification of tracers with suitable characteristics (defined by (1)) and (3) a suite of analysis programs to analyze tracer test results.
Low-order aquifer thermal energy storage model for geothermal system simulation
This paper presents a low-order aquifer thermal energy storage (ATES) model for simulation of combined subsurface and above-surface energy systems. The model is included in the Modelica IBPSA Library, which is a free open-source library with basic models for building and district energy and control systems. The model uses a lumped-component method, in which the transient conductive-convective heat and mass transfer equation is radially discretized. To verify the accuracy of the model, we present an inter-model comparison from a simulation test suite. Results show that the Modelica ATES model is in good agreement, with a normalized mean bias error for yearly variation of aquifer temperatures of 1.6×10−2 and 9×10−5 at 1 m and 10 m distance from the well.
A Machine Learning-Based Geothermal Drilling Optimization System Using EM Short-Hop Bit Dynamics Measurements
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When Where and Why: The Geologic Context of Lost Circulation While Drilling in a Crystalline Geothermal Reservoir.
Abstract not provided.
Analysis and Optimization of Closed Loop Geothermal System in Hot Rock Reservoirs.
Abstract not provided.
Lost Circulation in a Hydrothermally Cemented Basin-Fill Reservoir: Don A. Campbell Geothermal Field, Nevada.
Abstract not provided.
Understanding Uncertainty in Geothermal Energy Development Using a Formalized Performance Assessment Approach.
Abstract not provided.