"Womp Womp! Your browser does not support canvas :'("

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

Publicly accessible License 

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.
Export Citation to RIS
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

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

Share

Submission Downloads