Optimization of development of new licensed intelligent sites: risk analysis and assessment of economic efficiency

The relevance of the research topic is due to the high capital intensity and risks in the development of new license areas in the oil and gas industry. Traditional assessment methods have become problematic: the use of outdated documentation, the lack of a developed infrastructure for field development, the need to simultaneously take into account a huge array of various parameters and colossal time costs. This requires the development of new, intelligent tools for making effective investment decisions. The purpose of the study is to assess the possibilities and effectiveness of using specialized software complexes to analyze and optimize the development of new license areas in order to minimize risks and maximize the economic effect. Research methods included analysis of existing risks, description and evaluation of the work of smart modules of domestic development using Monte Carlo and k-means methods for clustering and optimization, as well as testing of modified algorithms at a real facility. Key risks associated with the assessment of new sites are systematized. The principles of operation of corporate intelligent control systems and their modules are described. Advantages and disadvantages of clustering algorithms are analyzed, modifications are proposed to neutralize negative effects. It is proposed to use modified algorithms within the framework of intelligent systems for a comprehensive assessment of sites, optimization of the well stock and engineering infrastructure, which can significantly increase the technical and economic indicators of investment projects in the oil industry.