Dr. Seyyed A. Hosseini

Research Professor

seyyed.hosseini@beg.utexas.edu

Curriculum Vitae

Telephone

512-471-2360

Fax

512-471-0140

Web of Science profile
Google Scholar profile

Research Interests

Topics related to multiphase fluid flow in porous media

Education

Ph.D. Petroleum Engineering, University of Tulsa, Tulsa, USA, 2008.

M.S. Biotechnology, Sharif University of Technology, Tehran, Iran, 2005.

B.S. Chemical Engineering, University of Isfahan, Isfahan, Iran, 2002.

Professional History

Research Professor, Bureau of Economic Geology, Jackson School of Geosciences, UT Austin, September 2023 – Present.

Senior Research Scientist, Bureau of Economic Geology, Jackson School of Geosciences, UT Austin, October 2021 – August 2023.

Research Scientist, Bureau of Economic Geology, Jackson School of Geosciences, UT Austin, October 2016 – September 2021.

Research Associate, Bureau of Economic Geology, Jackson School of Geosciences, UT Austin, September 2010 – September 2016.

Postdoctoral Research Associate, Petroleum Engineering Department, Texas A&M University, November 2009 – August 2010.

Reservoir Simulation Engineer, Kelkar and Associates Inc., December 2008 – November 2009.

Research Assistant, Department of Petroleum Engineering, University of Tulsa, January 2006 – December 2008.

Selected Publications

Journal Paper (Best Practices in Reservoir Modeling)

Hosseini, S. A., Ershadnia, R., Lun, L., Morgan, S., Bennet, M., Skrivanos, C., Li, B., Soltanian, M. R., Pawar, R., and Hovorka, S. D., 2024, Dynamic modeling of geological carbon storage in aquifers-workflows and practices: International Journal of Greenhouse Gas Control, v. 138, no. 104235, 18 p., http://doi.org/10.1016/j.ijggc.2024.104235.

Book Chapter (Machine-Learning Applications)

Hosseini, S. A., Larson, R., Shokouhi, P., Kumar, V., Prathipati, S., Kifer, D., Garcez, J., Ayala, L., Reidl, M., Hill, B., Tamrakar, S., Schuetter, J., and Mishra, S., 2023, Reservoir modeling using fast predictive machine learning algorithms for geological carbon storage, in Mishra, S., ed., Machine learning applications in subsurface energy resource management: Boca Raton, Fla., CRC Press, p. 233‒250, http://doi.org/10.1201/9781003207009-17.

Report (Review of Risk of Induced Seismicity)

Hosseini, S. A., Hovorka, S. D., Savvaidis, A., Kavoura, F., and Nicot, J.-P., 2022, Current state of knowledge regarding the risk of induced seismicity at CO₂ storage projects: Cheltenham, UK, IEA Environmental Projects Ltd., IEAGHG Technical Report, v. 2022-02, 63 p. Learn more about this report here, and access this report directly here.

Zahid, K., Hosseini, S. A., Nuñez López, V., and Hovorka, S. D., 2012, Characterizing CO₂ storage reservoirs and shallow overburden for above-zone monitoring in Texas Gulf Coast EOR fields: Greenhouse Gases Science and Technology, v. 2, p. 460‒473, https://doi.org/10.1002/ghg.1320.

Lu, J., Cook, P. J., Hosseini, S. A., Yang, C., Romanak, K. D., Zhang, T., Freifeld, B. M., Smyth, R. C., Zeng, H., and Hovorka, S. D., 2012, Complex fluid flow revealed by monitoring CO₂ injection in a fluvial formation: Journal of Geophysical Research, v. 117, B03208, https://doi.org/10.1029/2011JB008939.

Mukhopadhyay, S., Birkholzer, J. T., Nicot, J. -P., and Hosseini, S. A., 2012, A model comparison initiative for a CO₂ injection field test: an introduction to Sim-SEQ: Environmental Earth Science, v. 67, p. 601‒611, https://doi.org/10.1007/s12665-012-1668-1.

Hosseini, S. A., Mathias, S. A., and Javadpour, F., 2012, Analytical model for CO₂ injection into brine aquifers containing residual CH₄: Transport in Porous Media, v. 94, p. 795‒815, https://doi.org/10.1007/s11242-012-0025-x.

Hosseini, S. A., and Nicot, J. -P., 2012, Scoping analysis of brine extraction/re-injection for enhanced CO₂ storage: Greenhouse Gas Science and Technology, v. 2, p. 172‒184, https://doi.org/10.1002/ghg.1283.

Hosseini, S. A., and Nicot, J. -P., 2012, Numerical modeling of a multiphase water‒oil‒CO₂ system using a water‒CO₂ system: application to the far field of a U.S. Gulf Coast reservoir: International Journal of Greenhouse Gas Control, v. 10, p. 88‒99, https://doi.org/10.1016/j.ijggc.2012.06.001.

Mathias, S. A., Gluyas, J. G., Gonzalez Martinez de Miguel, G. J., and Hosseini, S. A., 2011, Role of partial miscibility on pressure buildup due to constant rate injection of CO₂ into closed and open brine aquifers: Water Resources Research, v. 47, W12525, 11 p., https://doi.org/10.1029/2011WR011051.

Hosseini, S. A., and Kelkar, M., 2010, Analytical upgridding method to preserve dynamic flow behavior: SPE Reservoir Evaluation & Engineering, v. 13, no. 3, p. 473–484, https://onepetro.org/SPEATCE/proceedings/08ATCE/08ATCE/SPE-116113-MS/144981.

Hosseini, S. A., Kang, S., and Datta-Gupta, A., 2010, Qualitative well placement and drainage volume calculations based on diffusive time of flight: Journal of Petroleum Science and Engineering, v. 75, p. 178–188, https://doi.org/10.1016/j.petrol.2010.11.012.

Recent Publications

Guo, R., Wang, H., Leng, J., Hosseini, S. A., 2025, Evaluation of hydrogen leakage through abandoned wells to overlaying saline aquifers during underground hydrogen storage in depleted natural gas reservoirs; Gas Science and Engineering, v. 140. https://doi.org/10.1016/j.jgsce.2025.205659.

Ershadnia, R., Moeini, F., Hosseini, S. A., Dai, Z., and Soltanian, M. R., 2024, Predicting multiphase flow behavior of methane in shallow unconfined aquifers using conditional deep convolutional generative adversarial network: Journal of Hydrology, v. 641, no. 131674, 15 p., http://doi.org/10.1016/j.jhydrol.2024.131674.

Leng, J., Bump, A., Hosseini, S. A., Meckel, T. A., Wang, Z., and Wang, H., 2024, A comprehensive review of efficient capacity estimation for large-scale CO₂ geological storage: Gas Science and Engineering, v. 126, no. 205339, 19 p., http://doi.org/10.1016/j.jgsce.2024.205339.

Wang, H., Hosseini, S. A., Tartakovsky, A. M., Leng, J., and Fan, M., 2024, A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: a dimension reduction approach: Journal of Hydrology, v. 636, no. 131219, 18 p., http://doi.org/10.1016/j.jhydrol.2024.131219.

Ershadnia, R., Wallace, C. D., Hajirezaie, S., Hosseini, S. A., Nguyen, T. N., Sturmer, D. M., Dai, Z., and Soltanian, M. R., 2022, Hydro-thermo-chemo-mechanical modeling of carbon dioxide injection in fluvial heterogeneous aquifers: Chemical Engineering Journal, v. 431, no. 133451, 23 p., http://doi.org/10.1016/j.cej.2021.133451.

Ershadnia, R., Wallace, C. D., Hosseini, S. A., Dai, Z., and Soltanian, M. R., 2021, Capillary heterogeneity linked to methane lateral migration in shallow unconfined aquifers: Geophysical Research Letters, v. 48, no. 23, article no. e2021GL095685, 12 p., http://doi.org/10.1029/2021GL095685.

Bakhshian, S., Hosseini, S. A., and Lake, L. W., 2020, CO₂-brine relative permeability and capillary pressure of Tuscaloosa sandstone: Effect of anisotropy: Advances in Water Resources, v. 135, no. 103464, 13 p., http://doi.org/10.1016/j.advwatres.2019.103464.

Alfi, M., Hosseini, S. A., Enriquez, D., and Zhang, T., 2019, A new technique for permeability calculation of core samples from unconventional gas reservoirs: Fuel, v. 235, p. 301–305, http://doi.org/10.1016/j.fuel.2018.07.114.

Dashtian, H., Bakhshian, S., Hajirezaie, S., Nicot, J.-P., and Hosseini, S. A., 2019, Convection-diffusion-reaction of CO₂-enriched brine in porous media: a pore-scale study: Computers and Geosciences, v. 125, p. 19–29, http://doi.org/10.1016/j.cageo.2019.01.009.

Hosseini, S. A., 2019, Fault leakage detection and characterization using pressure transient analysis: Journal of Petroleum Science and Engineering, v. 176, p. 880–886, http://doi.org/10.1016/j.petrol.2019.01.099.

Hosseini, S. A., Alfi, M., Nicot, J.-P., and Nuñez-López, V., 2018, Analysis of CO₂ storage mechanisms at a CO₂-EOR site, Cranfield, Mississippi: Greenhouse Gases: Science and Technology, v. 8, p. 469–482, http://doi.org/10.1002/ghg.1754.

Kim, S., and Hosseini, S. A., 2017, Study on the ratio of pore-pressure/stress changes during fluid injection and its implications for CO₂ geologic storage: Journal of Petroleum Science and Engineering, v. 149, p. 138–150, http://doi.org/10.1016/j.petrol.2016.10.037.