معرفی
Son Dang is an Assistant Professor of Petroleum and Geological Engineering at the University of Oklahoma, focusing on advanced energy systems and subsurface fluid dynamics. His research bridges experimental and computational techniques to address critical challenges in energy production and carbon neutrality.
Education:
- B.S., Petroleum Engineering, University of Oklahoma, 2012
- M.S., Petroleum Engineering, University of Oklahoma, 2015
- Ph.D., Petroleum Engineering, University of Oklahoma, 2019
Research Interests span material characterization, petrophysics, enhanced oil recovery (EOR), geo-storage, and mass transport in nanoporous media. His work emphasizes hydrogen storage, CO2 sequestration, and unconventional reservoir optimization.
Scientific Contributions include pioneering studies on hydrogen diffusivity in depleted reservoirs, CO2 injection-induced geomechanics, and machine learning applications for rock typing. He employs nuclear magnetic resonance (NMR) spectroscopy and molecular simulations to unravel fluid-rock interactions at microstructural scales.
Publications reveal a focus on energy transition technologies, with 15 recent works covering topics from supercritical CO2 fracturing to NMR-based diffusion analysis. These studies highlight his expertise in integrating experimental data with computational models to improve subsurface energy systems.
