Energy consumption issues have dual economic and environmental attributes. Rational resource utilization not only enhances corporate profitability but also reduces carbon footprints and minimizes negative environmental impacts, holding significant importance for industries such as transportation, energy, and oil and gas. In the oil and gas industry, the raw material extraction phase is particularly resource-intensive.

In oil production, electric submersible pumps are commonly used to lift oil from wells to the surface. It draws power from an electric motor to pump liquid, which then flows upward through pipes—this is one of the common artificial lift methods, widely applied in oil fields where wells are partially filled with water or reservoir pressure is low, making production difficult. However, such devices consume a lot of energy yet cannot operate at full load, losing about 50% of electricity. The reason lies in the equipment not always being in its optimal configuration, and achieving optimal configuration requires considering over 40 input parameters and extensive calculations. Existing software runs slowly and does not cover all factory operation scenarios.

Recently, scientists at Perm National Research Polytechnic University (Perm Polytechnic University) have made a new breakthrough, developing a program that calculates pump energy efficiency 75% faster while considering different operating modes.

Project manager and associate professor in the Department of Microprocessor Automation Tools at Perm National Research Polytechnic University, Sergey Mishurinskikh, introduced that their developed "UESP Periodic" program (original text may have a transcription error; based on context, this is presumed to be the program name) can analyze key components of oil production. Users input data on reservoir fluid inflow, pump characteristics (such as power and pressure), and parameters of the drilling platform's motor, cables, and transformers, and can make adjustments as necessary. The software considers the mutual influences of electrical and technical characteristics, improving calculation accuracy, with computations taking only 15 minutes compared to an hour for similar competing programs.

Project programmer and senior lecturer in the Department of Microprocessor Automation Tools at Perm National Research Polytechnic University, Andrei Batyulin, noted that the unique aspect of the "UESP Periodic" program is its ability not only to simulate continuous operation of oil equipment but also periodic operation, where the pump does not run continuously but stops intermittently—this technology is suitable for low-production wells. The program can calculate optimal pump on-off intervals, reducing energy consumption without sacrificing oil yield.

According to the developers, implementing this software allows oil production companies to cut computation time by 75%, lower equipment operating costs, and reduce unit energy consumption by 5%. For the oil industry, where annual energy consumption reaches tens of billions of kWh, even a small percentage savings translates to tens of millions of rubles in cost reductions.

The software targets Russian oil companies, such as Lukoil and Gazprom Neft, and other oil production and service companies. Its application not only boosts corporate profits through lower energy costs but also reduces the carbon footprint of oil production, aligning with global sustainable development trends. In the future, the developers plan to attract funding through the START competition and the Russian Science Foundation (RSF) to develop a "boxed" version of the program.