1 INTRODUCTION Application of digital models for project information management is the basic tendency in im- proving generated business-processes for implementation of complex engineering projects, en- hancement of performance efficiency at every stage of the industrial project life, as well as op- timization of costs and time for design/construction of facilities (Weygant, 2011). The first to turn to this subject were developed countries with a strongly pronounced and closely integrated interactive system of industrial structures (engineering, producing organiza- tions), academic community, regulatory and industrial agencies - UK, USA and EU nations. Currently, a substantial base of industry and civil standards, guidelines on the use of compo- nents and information modeling technologies has been built up, finding its application in such industries as oil and gas, power generation (for the most part, nuclear and alternative), ship- building, metallurgy and mining. In the Russian Federation digital models of project information management are in the mak- ing, international standards are under adaptation, pilot projects are under implementation using means of automation and production management, engineering and technical data acquisition, knowledge and workflow management at all life-cycle stages (Digital McKinsey, 2017). Oil- and-gas holding companies, metallurgical and mining enterprises, civil engineering developers are in the initial testing of these technologies. Market presence of software solutions and technologies ensuring integrated use of digital models allows design and producing companies to decide in favor of priority goals of business processes optimization, without unnecessary adaptation to the architecture of software plat- forms, but rather relying solely on guidance methodologies (McKinsey&Company, 2016) . The use of CAD tools for the management of workflow, requirements and knowledge, visual- ization of an integrated model, systems of scheduling-and-network planning and project man- agement, etc. is the basis for digital model applications, yet not being a limiting factor in execu- tion of works. Processes and problems solved within the life cycle are abstract from specific software and can be implemented using various types and combinations of software products. Studies of international consulting companies and developers of standards first evaluate the importance of shaping and rebuilding of existing business-processes while software application for solving applied problems is just an extra advantage (PAS 1192-2:2013). Digital model of project information management R. Khakimov & V. Kapustin Gubkin State University of Oil and Gas (National Research University), Moscow, Russia ABSTRACT: Worldwide practice of major companies proves the importance of digital models as the basis of engineering information management systems and the pattern of complex pro- jects, data integrated both with entities involved in the project life cycle and a set of information systems applied (Eastman, 2011). The paper suggests the draft of a typica l design “A Digital Model of Project Information Management”, which is a complex of architectural-and-technical, organizational and regulatory decisions defining the project MIS structure and principles of its operation.