Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University
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 -
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
Original Source
https://gdr.openei.org/submissions/1197Research Areas
Keywords
geothermal, WVU, Tuscarora, iTOUGH2, LBNL, Reservoir flow model, permeability, fracture, matrix, uncertainty analysis, Numerical Modeling, Monte Carlo, First-Order-Second-Moment uncertainty propagation analysis, feasibility, ddu, deep direct-use, morgantown, reservoir impedance, thermal production, resource potential, thermal breakthrough, permeability models, economic analysis, paper, geothermics, geothermal exploration risk, exploration risk, modeling, economic, direct use, west virginia university, tuscarora sandstone, flow model, uncertainty, analysis, simulation, flowDOE 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