KazNU scientists use quantum computing to optimize oil production

Scientists at Al-Farabi Kazakh National University are conducting research on modeling oil production processes using quantum computers.

Currently, various technologies are used in oil production. Among them, methods of pumping water into an oil reservoir and exposing it to high pressure are widespread. However, such processes require accurate and correct modeling. Errors in calculations can lead to a decrease in production efficiency, as well as an increase in the proportion of water in the produced oil. Excessive water content negatively affects the physico-chemical properties of raw materials and complicates the processes of its transportation and processing.

In turn, the use of high pressure during oil production can pose a threat to human life and health, as well as harm the environment.

In this regard, KazNU scientists are exploring new approaches to modeling and optimizing oil production using the capabilities of quantum computing. The use of quantum algorithms makes it possible to speed up complex calculations and select the optimal combination of production parameters.

"Currently, physically informed neural networks are used to solve such problems. However, we went further and developed a quantum PINN model. Quantum computing is not just a scientific tool, but a new stage in the development of science and technology. Thanks to the integration of quantum algorithms, we were able to effectively optimize the model and achieve high parametric efficiency. In the future, we plan to continue research in the field of quantum computing",- said Aksultan Mukhanbet, Acting Associate Professor at KazNU.

Press-service of Al-Farabi Kazakh National University