Our proposed process allows developers to: (i) build or select existing components and compose them to formulate conceptual models of complex systems (ii) automatically transform the conceptual models for the rapid implementation and simulation and (iii) automatically verify them as per the requirement specifications. In this paper, we propose a framework grounded in a combination of Component-based and Model Driven approaches to promote rapid prototyping of complex systems through the effective reuse of simulation models. Both approaches have numerous complementary benefits in rapid prototyping of complex systems using model reuse. Model driven development suggests: (i) the realization of a complex system using a conceptual model (ii) its automatic transformation into an executable form using transformation rules, and (iii) its automatic verification using a formal analysis technique for an accurate assessment of its correctness. The discipline of component-based modeling and simulation offers promising gains in reducing cost, time, and the complexity of model development, through the (re)use of modular components. The limited scope of functioning and technological capabilities of Russian companies is explained by the lack of necessary investment in development and expansion of business, as well as interest on the part of the state and corporate sectors in the development and replica-tion of domestic technologies and the formation of a full-fledged oilfield services market in Russia. It has been proven that, unlike the world's leading companies in oilfield services segment, independent domestic oilfield service companies provide mainly traditional service technologies in a fairly narrow range. The information base is made up of data from oilfield service and oil and gas producing companies, presented on the official websites of companies in the public domain on the Internet. The main factors that determine processes of digital transformation in the oil and gas industry are considered the results of digitalization processes in the largest foreign and Russian industry companies of the upstream and oilfield services segments are presented. The research is based on logical-theoretical and empirical analyses. The subject of the research is the process of the formation of key technological lines of "Industry 4.0" and their impact on the domestic oil and gas sector. The purpose of this study is to assess the prospects for innovative development of the domestic oilfield service industry in the context of the digitalization of the oil and gas industry. Prospects for innovative development of oilfield service companies are the key technological areas within the first project of the Hi-Tech Strategy of the German Government until 2020-"Industry 4.0". The digital transformation of the economy as the most important stage of scientific and technological progress and transition to a new technological structure is becoming one of the determining factors in the development and competitiveness of the domestic upstream sector. The main idea is to update the pipeline system and fittings so that they can pump oil products more quickly. People have come up with ideas for how to put the technical solution into action. The process of the terminal operation was optimized as a result, to increase the absolute throughput capacity, it was proposed to increase the unloading speed, which will decrease the tankers' servicing time and thereby increase the throughput capacity practically twice. A simulation model has been created in AnyLogic software that uses Agent-Based and Discrete Event Methods (ABM and DEM) A computational experiment was conducted based on the developed full-factor plan using a simulation model. Petersburg, which is a part of Russia's Multimodal Transportation System (MTS) in the North-West, was chosen as the study subject. This paper is devoted to the study of the efficiency of solving logistic problems of mineral complexes by system modeling methods using the AnyLogic software environment.
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