Scientists at Al-Farabi Kazakh National University (KazNU) have developed a model for calculating and optimising oil production processes. The model aims to help engineers predict processes within an oil reservoir more accurately. This development was reported by Kazinform, a partner of TV BRICS. The new model combines physical laws, neural networks, and quantum computing methods to improve the accuracy of calculations and optimise oil production parameters.
The computational model is designed to tackle complex problems in oil production, such as optimising reservoir stimulation and controlling water content in extracted oil. According to Aksultan Mukhanbet, Acting Associate Professor at KazNU, the area of quantum computing in applied scientific research is one of the most promising in Kazakhstan. The scientists plan to continue their research and expand the capabilities of quantum models to solve problems related to oil production processes.
Various technological methods are used in oil production, including water injection into the reservoir and maintaining reservoir pressure. To improve their efficiency, accurate modelling of physical processes and optimal management of production parameters are necessary. The Kazakhstani scientists' approach can improve the accuracy of calculations and help optimise oil production parameters. This development is expected to contribute to the implementation of domestic scientific solutions in high-tech manufacturing and the development of quantum technologies in Kazakhstan.
Quantum computing in the oil and gas industry opens up new opportunities for solving complex problems that require powerful computing resources. The researchers believe that their development will have a significant impact on the industry. The model will enable more effective production decisions to be made. The scientists' work is focused on implementing quantum computing in applied scientific research in Kazakhstan.
The development of the quantum model is part of a broader effort to implement domestic scientific solutions in high-tech manufacturing. The Kazakhstani government is interested in developing quantum technologies, and this project is expected to contribute to that goal. The scientists plan to continue their research and expand the capabilities of quantum models.
Aksultan Mukhanbet emphasised the significance of the project, highlighting the potential of quantum computing in applied scientific research. The project demonstrates the potential for collaboration between academia and industry in developing innovative solutions. The scientists' work has the potential to improve the efficiency of oil production processes and contribute to the development of quantum technologies in Kazakhstan.
The Kazakhstani scientists' development of a quantum model for oil production is a significant achievement in the field of quantum computing. The model has the potential to improve the accuracy of calculations and optimise oil production parameters. The project is expected to contribute to the development of quantum technologies in Kazakhstan and demonstrate the potential for innovation in the oil and gas industry.
Key points
- Kazakh scientists develop quantum model to optimise oil production processes
- Model combines physical laws, neural networks, and quantum computing methods
- Development expected to contribute to implementation of domestic scientific solutions in high-tech manufacturing
