The article reviews the topical issue of accelerating the transition to the information modeling of capital construction facilities in the oil and gas industry and ways to address this issue based on developing an «intelligent and lean» approach behind the pattern design methodology. The tool that allows for the reduction of labor costs is the intelligent system for information modeling of Cluster Pads.AI. The article describes the layered architecture of Cluster Pad.AI. It is shown that Cluster Pad.AI is an element of the general IT landscape of design and survey works of Rosneft Oil Company and ensures an optimum transition from the traditional document-oriented approach to the data-oriented one. Cluster Pad.AI provides automation of solutions throughout the value chain – from raw data input to obtaining the finished information model and design documents, which allows reducing time for building the information model for standard cluster pads, eliminating a human factor when building the information model due to the reduction of a number of a design engineer’s routine tasks, issuing the design estimates based on these models, increasing the coverage of the standard cluster pads with the information modeling technology up to 100 %. The article shows that the development and implementation of the Cluster Pad.AI project is a consistent continuation of the implementation of Rosneft Oil Company initiatives on the transition from the traditional design to the information modeling, which in the long run will allow the transition to the use of artificial intelligence tools to improve the design solutions and design documentation management efficiency.
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