Laboratory of Data Analysis and Machine Learning in Oil and Gas Industry
At the present time, the largest oil fields in Russia are characterized by significant depletion of petroleum reserves and high water content in extracted products. Therefore, oil fields of complex structure (e.g., fractured-porous collectors contained bottom water) saturated with hard-to-recover non-Newton oil are increasingly involved in oil production. As the share of them grows constantly, the problems of oil recovery from such oil reservoirs and the choice of a rational regime of their operation are of particular relevance.
Laboratory Activities
Research areas:
— Underground hydromechanics
— Mechanics of multiphase media
— Nonlinear differential equations
— Numerical methods
— Parallel computing technologies
— Scientific visualizations
— 3D modeling / prototyping
— Programming for microcontrollers and embedded devices