Investments Decision Making on the Basis of System Dynamics

The rapid increase in the volume of incoming and processed information in oil companies has led to a change not only in the automation of the process of data processing and research, but also in the intellectualization of informational and organizational processes, building and implementing effective methods and intellectual supporting technologies of decision-making. Oil companies have always paid great attention to making the scientific and reasonable decisions about the investment scale and structure in the extraction sector to enable them to minimize business risks and make high profit. According to the theories and methods of system dynamics, a dynamic model for analyzing forecasting the scale and structure of investments for the oil industry has been built and presented in this article. As well as the problem of data extraction in intellectual information systems is described. The formulated model can be applied to analyze and predict the structure and size of the investment process as a new method and provide a basis for decision-making.