Dr. Seyyed A. Hosseini

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)
Hosseini, S.A., Larson, R., Shokouhi, P., Kumar, V., Prathipati, S., Kifer, D., Garcez, J., Ayala, L., Reidl, M., Hill, B., and and three others, 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.
Zahid, K., Hosseini, S. A., Nuñez López, Vanessa, 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.
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, doi: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.
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.
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.
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.
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, doi:10.1029/2011WR011051, 11 p.
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. doi: 10.2118/116113-PA.
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.