Factor analysis in the economic module of integrated asset modeling

Aim. This review article discusses the methods of calculating the economic effect in integrated asset modeling. The main objective of the paper is to develop a software module capable of performing economic calculations and forecasts efficiently. During the research process, factor analysis has also been conducted in order to optimize the economic module and reduce time and resource costs. This paper provides an overview of various methods aimed at improving asset management through the application of more accurate and efficient economic calculations.

Materials and methods. Both direct and indirect methodologies were employed to assess free cash flow (FCF) and compute net present value (NPV). The direct approach, drawing from cash flow statements, facilitated the evaluation of operational efficiency in fund utilization. Meanwhile, the indirect method, utilizing data from profit and loss statements and balance sheets, unveiled profit generation sources and areas of potential fund stagnation. NPV computation involved aggregating discounted cash flows. Sensitivity analysis encompassed both local and global techniques. This holistic method yielded a comprehensive understanding of factors influencing financial outcomes, forming the foundation for informed conclusions and recommendations.

Results. The research has achieved the development of a software module implementing an economic component for integrated asset models using the Python programming language. This software enables efficient computation of net present value (NPV) and free cash flow (FCF) for economic analysis within the integrated asset modeling context. By processing input data and visualizing results, the software greatly simplifies the analysis of financial performance. Its introduction facilitates factor analysis for optimizing integrated asset models, leading to more precise and sustainable economic decision-making within this framework.

Conclusions. The developed software module is an effective tool for analyzing the financial performance of an oil and gas asset, which provides the calculation of net present value and free cash flow, which allows you to make informed decisions regarding investments in new fields, equipment modernization and improving the efficiency of production processes at mature assets. This module allows for analysis in various scenarios and is easily integrated into projects, meeting the needs of IMA specialists and providing convenient tools for visualizing results. Using this module contributes to accurate and informed management of oil and gas assets, which is a key factor in achieving successful results in the industry.

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