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
West Virginia University. (2019). Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University [data set]. Retrieved from https://dx.doi.org/10.15121/1597110.
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., 20 Dec, 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. https://dx.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. https://dx.doi.org/10.15121/1597110. https://gdr.openei.org/submissions/1197.
@div{oedi_3839, title = {Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University}, author = {Garapati, Nagasree, Zhang, Yingqi, 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}, url = {https://gdr.openei.org/submissions/1197}, journal = {}, number = , volume = , place = {United States}, year = {2019}, month = {12}}
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