Nastaran Khazali

I am a passionate reservoir engineer with a deep expertise in analytical modeling and a strong focus on the transport and flow dynamics within porous media. My primary research interests revolve around the analytical modeling of suspension colloidal flow in porous media, transport phenomena in porous media, and the application of data-driven modeling techniques to petroleum engineering and subsurface systems. My work also integrates machine learning and data mining approaches to advance production forecasting and optimize subsurface processes.

As a programmer, I specialize in developing software solutions using Python, enabling more efficient analysis and simulation of reservoir systems. This programming expertise supports my work in modeling and simulation, where I leverage computational tools to explore complex subsurface behavior and predict production outcomes.

I earned my bachelor's degree in a dual degree program in Petroleum Engineering and Industrial Engineering from Amirkabir University of Technology (Tehran Polytechnic). Following this, I pursued a master's degree in Reservoir Engineering at the same institution, where I developed a strong foundation in reservoir modeling and engineering principles. I then completed my PhD in the School of Chemical Engineering, within the Mining and Petroleum Engineering discipline at the University of Adelaide. During my PhD, I further honed my expertise in subsurface flow dynamics and advanced analytical modeling techniques.