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

Abstract

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. Manuscriptmore » is submitted to Geothermics, will be linked once paper is accepted.« less

Authors:
; ; ;
Publication Date:
Other Number(s):
1197
DOE Contract Number:  
EE0008105
Research Org.:
USDOE Geothermal Data Repository (United States); West Virginia Univ., Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
Collaborations:
West Virginia University
Subject:
15 Geothermal Energy
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; flow
Geolocation:
39.913322339969, (-78.759578515625
OSTI Identifier:
1597110
DOI:
https://doi.org/10.15121/1597110
Project Location:

DOE DataExplorer Dataset Location Google Map

Citation Formats

Garapati, Nagasree, Zhang, Yingqi, Doughty, Christine, and Jeanne, Pierre. Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University. United States: N. p., 2019. Web. doi:10.15121/1597110.
Garapati, Nagasree, Zhang, Yingqi, Doughty, Christine, & Jeanne, Pierre. Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University. United States. doi:https://doi.org/10.15121/1597110
Garapati, Nagasree, Zhang, Yingqi, Doughty, Christine, and Jeanne, Pierre. 2019. "Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University". United States. doi:https://doi.org/10.15121/1597110. https://www.osti.gov/servlets/purl/1597110. Pub date:Fri Dec 20 00:00:00 EST 2019
@article{osti_1597110,
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.},
doi = {10.15121/1597110},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {12}
}