Robert Podgorney, Ph.D.https://bios.inl.gov/Lists/Researcher/DisplayOverrideForm.aspx?ID=240Robert Podgorney, Ph.D. Dr. Robert Podgorney serves as the chief computational scientist for the advanced scientific computing division at the Idaho National Laboratory, leading a diverse team of scientists and engineers focused on developing computational tools and frameworks for energy related applications. His personal research interests center on energy and water related issues, focusing on investigations of fluid flow, heat transport, and mechanics in fractures and fracture networks and the development of massively parallel simulators for describing these systems. He has a doctorate in geology (multiphase fluid flow, computational fluid dynamics) from the University of Idaho, and serves as the Chair for Reservoir Modeling to the International Partnership for Geothermal Technology, a multinational coordination effort focused on advancing geothermal energy. <div class="ExternalClass8428DDA07F824930BABA2D063A539269"><p>​Ph.D., Hydrogeology - University of Idaho</p><p>M.S., Hydrogeology - Wright State University</p><p>B.S., Geology - University of Pittsburgh</p><p> </p></div><div class="ExternalClass8D3376242BDC403580ADE03992A3AA33"><p>Pranay Asai, Robert Podgorney, John McLennan, Milind Deo, Joseph Moore, Analytical model for fluid flow distribution in an Enhanced Geothermal Systems (EGS), Renewable Energy.</p><p><br></p><p>Jin, Wencheng & Atkinson, Trevor & Doughty, Christine & Neupane, Ghanashyam & Spycher, Nicolas & McLing, Travis & Dobson, Patrick & Smith, Robert & Podgorney, Robert. (2022). Machine-learning-assisted high-temperature reservoir thermal energy storage optimization. Renewable Energy. 197. 10.1016/j.renene.2022.07.118.</p><p><br></p><p>Wilkins, Andy & Green, Christopher & Harbour, Logan & Podgorney, Robert. (2021). The MOOSE geochemistry module. Journal of Open Source Software. 6. 3314. 10.21105/joss.03314. </p><p><br></p><p>Podgorney, Robert & Finnila, Aleta & Simmons, Stuart & Mclennan, John. (2021). A Reference Thermal-Hydrologic-Mechanical Native State Model of the Utah FORGE Enhanced Geothermal Site. Energies. 14. 4758. 10.3390/en14164758. </p><p><br></p><p>Nadimi, S. & Forbes, B. & Moore, J. & Podgorney, Robert & Mclennan, John. (2020). Utah FORGE: Hydrogeothermal modeling of a granitic based discrete fracture network. Geothermics.</p><p><br></p><p><br></p><p>White, M., Fu, P., McClure, M. et al. A suite of benchmark and challenge problems for enhanced geothermal systems. Geomech. Geophys. Geo-energ. Geo-resour. 4, 79–117 (2018). https://doi.org/10.1007/s40948-017-0076-0 </p><p><br></p><p>Xia, Yidong & Plummer, Mitchell & Mattson, Earl & Podgorney, Robert & Ghassemi, Ahmad. (2017). Design, modeling, and evaluation of a doublet heat extraction model in enhanced geothermal systems. Renewable Energy. 105. 232-247. 10.1016/j.renene.2016.12.064.​<br></p><p><br></p><p>Podgorney, R., M. White, G. Danko, P. Fu, A. Ghassemi, M. McClure, D. Bahrami, C. Barbier, Q. Cheng, K. Chiu, C. Detourney, D. Elsworth, Y. Fang, J. Furtney, B. Guo, Y. Hao, R. Horne, K. Im, J. Norbeck, J. Rutqvist, E. Sonnenthal, S. White, Y. Wong, and Y. Xia. 2017. Numerical simulators for enhanced geothermal systems: Benchmark problems of mechanical and chemical alteration of permeability (Problems 1 and 5). Computational Geosciences.</p><p> </p><p>McClure, M., A. Ghassemi, P. Fu, D. Bahrami, K. Chiu, G. Danko, D. Elsworth, J. Furtney, Q. Gan, B. Guo, R. Horne, K. Huang, K. Im, J. Norbeck, R. Podgorney, J. Rutqvist, V. Sesetty; Q. Tao, M. White, S. White, Y. Xia. 2017. Numerical simulators for enhanced geothermal systems: Benchmark problems of single fracture deformation (Problems 3, 6 and 7). Computational Geosciences.</p><p> </p><p>Danko, G., S. Kelkar, D. Bahrami, K. Chiu, D. Elsworth, Y. Fang, P. Fu, J.K. Furtney, Q. Gao, A. Ghassemi, B. Guo, K.J. Im, M.W. McClure, R. Podgorney, J. Rutqvist, R. Safari, M.D. White, S. K. White, and Y. Xia. in review. Numerical simulators for enhanced geothermal systems: Benchmark problems of multi-dimensional coupled thermal-hydrologic-mechanical processes (2 and 4). Computational Geosciences.</p><p> </p><p>White, M., D. Bahrami, G. Danko, D. Elsworth, P. Fu, J. Furtney, Q. Gao, A. Ghassemi, R. Horne, S. Kelkar, M. McClure, J. Norbeck, R. Podgorney, J. Rutqvist, E. Sonnenthal, Q. Tao, Y. Wong, and M. R. Safari. in review. Numerical simulators for enhanced geothermal systems: GTO-CCS codes. Computational Geosciences.</p><p> </p><p>Plummer, M., J. Bradford, J. Moore, and R. Podgorney. accepted. Reservoir response to thermal and high-pressure well stimulation efforts at Raft River, Idaho. Geothermics.</p><p> <br>Bradford, J., J. Moore, J. McClennan, R. Podgorney, M. Plummer, and G. Nash. accepted. Analysis of the Thermal and Hydraulic Stimulation Program at Raft River, Idaho. Geothermics.</p><p> </p><p>Xia, Y., M. Plummer, E. Mattson, R. Podgorney, and A. Ghassemi. 2016. Design, Modeling, and Evaluation of a Doublet Heat Extraction Model in Enhanced Geothermal Systems. Renewable Energy.</p><p> </p><p>Adhikary, D., C. Jayasundara, R.K. Podgorney, and A. Wilkins. 2016. A robust return‐map algorithm for general multisurface plasticity. International Journal for Numerical Methods in Engineering.<br></p><p><br></p><p>Xia, Y., R.K. Podgorney, and H. Huang. 2015. Assessment of a Hybrid Continuous/Discontinuous Galerkin Finite Element Code for Geothermal Reservoir Simulations. Rock Mechanics and Rock Engineering (2015): 1-14.</p><p> </p><p>Regenauer-Lieb K., A. Bunger, H. Tong Chua, A. Dyskin, F. Fusseis, O. Gaede, R. Jeffrey, A. Karrech, T. Kohl, J. Liu, V. Lyakhovsky, E. Pasternak, R. Podgorney, T. Poulet, S. Rahman, C. Schrank, M. Trefry, M. Veveakis, B. Wu, D.A. Yuen, F. Wellmann, and X. Zhang. 2015. </p><p> </p><p>Deep Geothermal: The ‘Moon Landing” Mission in the Unconventional Energy and Minerals Space.  Journal of Earth Science, 26(1), pp. 2-10.</p><p> </p><p>Pollyea, R.M., J.P. Fairley, R.K. Podgorney, and T. L. McLing. 2014. Physical Constraints on Geologic CO2 Sequestration in Low-volume Basalt Formations. Geological Society of America Bulletin. March 2015.</p><p><br></p><p>Fairley, J., McLing, and R.K. Podgorney,  2013. Sub-Seafloor Carbon Dioxide Storage Potential on the Juan de Fuca Plate, Western North America. Energy Proceedia, 37, pp. 5248 – 5257 .</p><p> </p><p>Pollyea, R. M., J.P. Fairley, R.K. Podgorney, and T.M. McLing. 2013. A field sampling strategy for semivariogram inference of fractures in rock outcrops. Stoch. Environ. Res. Risk Assess., DOI 10.1007/s00477-013-0710-5</p><p> </p><p>Gaston, D., Guo, L., Hansen, G., Huang, H., Johnson, R., Knoll, D., Newman, C., Park, H.K., Podgorney, R., Tonks, M. and Williamson, R., 2012. Parallel Algorithms and Software for Nuclear, Energy, and Environmental Applications. Part II: Multiphysics Software. Communications in Computational Physics, 12(03), pp.834-865.</p><p> </p><p>Gaston, D., Guo, L., Hansen, G., Huang, H., Johnson, R., Knoll, D., Newman, C., Park, H.K., Podgorney, R., Tonks, M. and Williamson, R., 2012. Parallel algorithms and software for nuclear, energy, and environmental applications. Part I: Multiphysics algorithms. Communications in Computational Physics,12(03), pp.807-833.</p></div>https://bios.inl.gov/BioPhotos/Rob%20Podgorney.jpgChief Computational Scientistrobert.podgorney@inl.gov

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