The digital twins are one of the necessary attributes of digitalization of the industrial facilities and technological processes. Gathering data from sensors and measuring devices they model behavior of the facility or the process and marks risks and deviations from the normal work and provide the optimal way of the system operation. Oil and gas production today is one of the industry leaders in the application of digital twins to improve the production efficiency. This is so because such factors, as the diversity of output processes (reservoir engineering, well construction, artificial lift, oil transport and treatment, refining of hydrocarbon raw materials), the existence of large volume of industrial information and high level of automation (high accuracy sensors and analyzers, systems of telemechanic and telemetry, industrial databases, special software for modeling), high return on investment (by increasing of oil production and decreasing OPEX and CAPEX). In Bashneft PJSOC the concept of maximum involvement of the digital twins in oil and gas production processes is taken into service.
In this paper, the description of a digital twin of an artificial lift well equipped by the electric submersible pump is presented, which allows minimizing risks of complications during bringing the well on to stable production and to reduce the oil losses. The digital twin contains the model of elements of the well and pump installation, algorithms of adjustment to field measurements and algorithms of the forecast of the well and equipment operation. All this together enables to use it during all the stages of bringing the well on to stable production starting from initial state up to the moment of bringing the well on to stable production.
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