Roohollah (Radwin) Askari
- Dow 621
- Assistant Professor, Geological and Mining Engineering and Sciences
- PhD, Geophysics, University of Calgary
- MS, Geophysics, University of Tehran
- BS, Applied Physics, University of Hormozgan, Iran
Dr. Askari joined Michigan Tech’s Department of Geological & Mining Engineering & Sciences as an Assistant Professor of Petroleum Geophysics in August 2015. Dr. Askari is interested in both experimental and numerical analyses of petrophysical and geophysical data.
Prior to his appointment in Michigan Tech, Dr. Askari was a postdoctoral fellow at the Department of Chemical and Petroleum Engineering, University of Calgary, Canada. In his postdoctoral work, he participated in an industry-sponsored research project aimed at enhanced oil recovery from Alberta tar sands, in which the effective thermal conductivity is the critical factor in forecasting oil production rates from Steam Assisted Gravity Drainage (SAGD) techniques. Dr. Askari assisted in designing an apparatus to measure the effective thermal conductivity of samples across a wide variety of fluid saturations, pressures, and temperatures. In addition, he was involved in developing a novel numerical algorithm based on pore-scale modeling (estimating petrophysical parameters of porous media by modeling their microstructures) to better characterize heat transfer in porous media, which ultimately results in enhanced heavy oil recovery.
In his PhD program, Dr. Askari conducted an industrial-scale research project to address S-wave static correction (a challenging step in multi-component data processing) using the dispersion properties of surface waves. In addition to introducing novel techniques for the estimation of the phase and group velocities of surface waves, he streamlined the CMP Cross-Correlation of Surface Waves to calculate S-wave static corrections.
Prior to commencing his PhD program, Dr. Askari served as an instructor of geophysics at the Institute for Advanced Studies in Basic Sciences, Zanjan, Iran
- Fractured media characterization using core analysis and seismic data
- Petrophysical characterization of porous media using numerical and experimental approaches
- Near surface geophysics
- Seismic data processing and imaging