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

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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.

Citation Formats

TY - DATA AB - 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. AU - Garapati, Nagasree A2 - Zhang, Yingqi A3 - Doughty, Christine A4 - Jeanne, Pierre DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1597110 KW - geothermal KW - WVU KW - Tuscarora KW - iTOUGH2 KW - LBNL KW - Reservoir flow model KW - permeability KW - fracture KW - matrix KW - uncertainty analysis KW - Numerical Modeling KW - Monte Carlo KW - First-Order-Second-Moment uncertainty propagation analysis KW - feasibility KW - ddu KW - deep direct-use KW - morgantown KW - reservoir impedance KW - thermal production KW - resource potential KW - thermal breakthrough KW - permeability models KW - economic analysis KW - paper KW - geothermics KW - geothermal exploration risk KW - exploration risk KW - modeling KW - economic KW - direct use KW - west virginia university KW - tuscarora sandstone KW - flow model KW - uncertainty KW - analysis KW - simulation KW - flow LA - English DA - 2019/12/20 PY - 2019 PB - West Virginia University T1 - Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University UR - https://doi.org/10.15121/1597110 ER -
Export Citation to RIS
Garapati, Nagasree, et al. Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University. West Virginia University, 20 December, 2019, GDR. https://doi.org/10.15121/1597110.
Garapati, N., Zhang, Y., Doughty, C., & Jeanne, P. (2019). Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University. [Data set]. GDR. West Virginia University. https://doi.org/10.15121/1597110
Garapati, Nagasree, Yingqi Zhang, Christine Doughty, and Pierre Jeanne. Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University. West Virginia University, December, 20, 2019. Distributed by GDR. https://doi.org/10.15121/1597110
@misc{OEDI_Dataset_7331, title = {Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University}, author = {Garapati, Nagasree and Zhang, Yingqi and Doughty, Christine and Jeanne, Pierre}, abstractNote = {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.}, url = {https://gdr.openei.org/submissions/1197}, year = {2019}, howpublished = {GDR, West Virginia University, https://doi.org/10.15121/1597110}, note = {Accessed: 2025-05-03}, doi = {10.15121/1597110} }
https://dx.doi.org/10.15121/1597110

Details

Data from Dec 20, 2019

Last updated Jan 14, 2022

Submitted Dec 20, 2019

Organization

West Virginia University

Contact

Nagasree Garapati

304.293.5028

Authors

Nagasree Garapati

West Virginia University

Yingqi Zhang

Lawrence Berkeley National Laboratory

Christine Doughty

Lawrence Berkeley National Laboratory

Pierre Jeanne

Lawrence Berkeley National Laboratory

Research Areas

DOE Project Details

Project Name Feasibility of Deep Direct Use Geothermal on the West Virginia University Campus-Morgantown, WV

Project Lead Arlene Anderson

Project Number EE0008105

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