Abstract
Development processes in the Arctic zone require that a set of tasks related to the development or improvement of technologies, as well as to the optimization of project management methods be solved. It has been noted that in order to solve the tasks, fast updated Big Data is needed, the timely acquisition and processing of which will allow for unbiased assessment of the current situation, taking appropriate management decisions, and prompt adjusting as new factors arise. It has been concluded that the introduction of Big Data technology is considered to be the most efficient Industry 4.0 tool for geological survey, and data arrays on the state of exploration of the territories and the results of exploration drilling can serve as the basis for an information model of oil and gas exploration. It has also been found that the array accumulated by subsoil users in the course of scientific research makes it possible to significantly increase the state of exploration of the natural Arctic environment and assess in an unbiased manner the natural processes that occur in the areas of the northern seas. Based on the analysis of the collected data, to predict the state of the natural environment and further develop optimal technical and managerial solutions for the development of the Arctic fields is possible.
Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology