The study is dedicated to developing a gas transport system’s digital twin to simulate and optimize its hydraulic modes. Such a twin includes static and dynamic datasets and computer aids: models and algorithms. The article provides its proposed structure. The considered digital twin consists of several blocks: information, digital twin adaptation and simulating. The first one includes static (the gas transport system scheme) and dynamic (a set of actual mode parameters of gas transport system objects) data. The block of digital twin adaptation includes identification of non-measured parameters (hydraulic efficiency factor, heat transfer coefficient for linear sections as well as serviceability factor of gas pumping units) and the actual gas transport system mode. The third block represents a set of computer aids for simulating and optimization of system operation modes. This article shows standard steps in short-term forecast modeling of the gas transport system operation (for example, for a day ahead), performed by a gas transport company. It is described the main tasks arising in dispatch control, which can be solved by the developed digital twin. The gas transport system of Gazprom transgaz Yugorsk LLC was selected as a modeling object and it is used as an example to demonstrate the operation of the actual mode identification algorithm and make forecast calculations for three days in advance. For comparison, a brief description of examples of other digital twins existing in the Russian gas industry is given: Astra-gas, Vesta, Volna [Wave].
Keywords: GAS TRANSPORT SYSTEM, HYDRAULIC MODE SIMULATION, HYDRAULIC MODE OPTIMIZATION, DIGITALIZATION, DIGITAL TWIN.