Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University Dualk2.zip

To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of the great depth of the geothermal reservoir, few data are available to characterize reservoir features and properties. As a result, the study focuses on the following three aspects: 1. model choice for predicting reservoir impedance and thermal breakthrough: after investigating three potential models (one single permeability model and two dual permeability models) for flow through fractured rock, it is decided to use single permeability model for further analysis; 2. well placement (horizontal vs. vertical) options: horizontal well placement seems to be more robust to heterogeneity and the impedance is more acceptable; 3. Prediction uncertainty: the most influential parameters are identified using a First-Order-Second-Moment uncertainty propagation analysis, and the uncertain range of the model predictions is estimated by performing a Monte Carlo simulation. Heterogeneity has a large impact on the perdition, therefore, is considered in the predictive model and uncertainty analysis. The numerical model results and uncertainty analysis are used for economic analysis. The dataset submitted here support the described study. Manuscript is submitted to Geothermics, will be linked once paper is accepted. Contains the input/output files for the dual permeability with vertical well layout models described in the manuscript and final report. Part of Figure 2 (one of the two lines for dual K) the manuscript and final report is produced from the output data in this set. ITOUGH2 input files: DDUi and DDU2 (DualK2.zip). iTOUGH2 output files: DDUi.tec for time series (e.g. production temperature over time). Other *.tec are pressure temperature for the entire model domain at different times.

Data and Resources

Metadata Source

Additional Info

Field Value
Citation Date 2019-12-20T00:00:00-07:00

Harvest Information

Original ID f0000001-58cc-4372-a567-000000001197
Index Date 2020-02-07T12:05:56-07:00
Original Format ISO-USGIN
Original Version 1.2

Author

Name Nagasree Garapati
Position primary contact
Organization West Virginia University
Email nagasree.garapati@mail.wvu.edu

Geographic Extent

North Bound 39.913322339969
South Bound 38.933992306471
East Bound -78.759578515625
West Bound -80.835893359375