Seyyed A. Hosseini

Seyyed A. Hosseini is a Research Professor at the Bureau of Economic Geology (BEG), Jackson School of Geosciences, University of Texas at Austin. His work focuses on subsurface fluid dynamics with applications to geological carbon storage (CO₂ sequestration) and underground hydrogen storage.

Education:

• Ph.D. in Petroleum Engineering (University of Tulsa, 2008)
• M.S. in Biotechnology (Sharif University of Technology, 2005)
• B.S. in Chemical Engineering (University of Isfahan, 2002)

Research Interests include:

• Multiphase fluid flow in porous media
• Pressure-pulse testing for CO₂ monitoring
• Reservoir engineering fundamentals
• Machine learning for subsurface energy projects
• Geomechanical impacts of fluid injection
• Environmental risk assessment for CO₂ and hydrogen storage

Article Trends reveal his expertise in developing applied methodologies for CO₂ and hydrogen storage, emphasizing machine learning integration, 3D modeling, and fault leakage detection. Recent work explores deep learning workflows and microfluidic experiments for subsurface energy systems.

Grants and Funding

• PI on a $1.5M DOE/NETL grant (2015) to study brine extraction for CO₂ storage pressure management

Collaborative Initiatives include the SMART program for machine learning in CCS and partnerships with institutions in Mississippi, Texas, and the Gulf Coast. His research extends to laboratory experimentation following BEG's facility upgrades.