Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

Vygodchikova, I. Yu.; Gordienko, Mikhail; Natocheeva, Natalia; Rud, Natalia; Намитулина, А. З.

doi:10.3390/en15030877

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…The asset optimization process involves utilizing appropriate evaluation methods to optimally select oil and gas assets, with the development of disciplines such as probability theory, mathematical programming, fuzzy mathematics, and multi-attribute evaluation. A plethora of methods have been employed by previous researchers for project evaluation in the oil and gas field, such as gray theory [6,7], grey fuzzy that combines grey theory with fuzzy evaluation [8], cyclical convolution [9], Multi-Attribute Decision Making (MADM) in conjunction with Analytic Hierarchy Process (AHP) [10], Multi-Criteria Decision Analysis (MCDA) [11], as well as the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Fuzzy-TOPSIS [12,13].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Asset Evaluation Method for Oil and Gas Projects

et al. 2023

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The rapid and accurate evaluation of oil and gas assets, specifically for new development projects, poses a significant challenge due to the various project types, limited data availability, brief periods for assessment and decision making, and constraints arising from varying contractual and taxation conditions, political stability, and societal factors. This study leverages the grading standards of the evaluation index system for new oil and gas field development projects, along with relevant mathematical theories and methods for project evaluation and optimization. We developed an asset evaluation approach for new oil and gas projects by analyzing the assets of six new oil and gas field development projects in Brazil. This analysis resulted in the grading and ranking of new projects, and we tested and demonstrated four asset optimization techniques. After a comparative analysis with conventional evaluation results, we established an oil and gas project asset optimization approach centered on the cloud model comprehensive evaluation and linear weighted ranking, exhibiting Kendall’s tau coefficient of 0.8667 with conventional methods. The findings suggest that the combination of the cloud model comprehensive evaluation method with the linear weighted ranking method can facilitate asset optimization for oil and gas field development projects, meeting the practical needs for fast selection among various new projects. Furthermore, this research offers a technical and theoretical foundation for rapid evaluation and decision making regarding new assets.

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Section: Introductionmentioning

confidence: 99%

A Comprehensive Asset Evaluation Method for Oil and Gas Projects

et al. 2023

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“…The ranking of companies is necessary to determine the directions and vectors for stimulating the investment activity of high-tech, innovative projects implemented by the government in the oil and gas sector and the electric power industry. The monitoring of the innovative activity of energy companies was carried out by the authors on the basis of an integrated approach, including the aggregation of multidimensional data and the clustering of companies into leading groups [8,9].…”

Section: Introductionmentioning

confidence: 99%

Rating of Stability of Russian Companies in Oil and Gas and Electric Power Industries Based on Interval Volatility

et al. 2023

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The authors propose an instrumental apparatus for calculating the ratings of Russian companies in the oil and gas and electric power industries based on a weighting method, risk assessment using the minimax criterion and an intellectual tree structure. The relevance of the developed system is justified by the need to create Russian rating systems for companies that will represent their actual state and place in the analyzed group. The problem of data redundancy has been solved by using the hierarchical principle for the isolated indexing of absolute and relative indicators from the financial statements of the companies in question into sub-indexes, with further integral indexing and correction for the volatility of changes over the past three years. The authors used a financial analytics apparatus based on the regular financial (accounting) statements of companies according to accepted forms, and balance sheets and reports on financial results were applied. The authors developed and tested a methodology for sub-indexing important indicators of financial statements: capital structure—equity, debt capital, highly liquid assets (cash and settlement accounts in reliable banks, short-term financial investments) and net profit. Based on the results of the analysis, recommendations are provided for the long-term development of the energy business.

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“…В таком подходе оптимально будут учитываться наиболее важные (ключевые) показатели развития компаний [17,18].…”

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Analysis of balance indicators of innovative development of oil-gas Russian companies

Vygodchikova¹

2022

Druk. Vest.

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The article discusses the methodology for assessing the balance of development of companies in the energy and oil and gas complex, considering the pattern based on the model of leading companies. The use of mathematical apparatus allows you to significantly save time on the justification and algorithmic structure of the simulated process. End-to-end technologies require abandoning the personal influence of the decision-maker in favor of mathematical modeling of the optimization approach. At the same time, the decision should be thought out and justified both analytically and visually. According to the authors of the work, the optimal is a graphical solution that can be used for any group of companies, considering smart merchandising and the use of analytical calculations, correlation models and image recognition programs in the group. The prospect of using this complex is the evaluation of end-to-end technological projects of smart Internet monitoring. The paper presents a general pattern of solving the issue of balance in the oil and gas complex, considering end-to-end technologies that allow us to develop a method for analyzing the balance of indicators for the long-term development of energy-intensive companies in Russia, considering the large-scale influence of the regional level. The authors analyzed data on the two most effective industries in terms of developing new technological solutions: oil and gas and electricity, the largest companies in each industry were selected for analysis. The practical implementation of the methodology of the authors of the article will optimize the process of allocating investment resources and will contribute to maintaining the expansion of production of high-tech products produced by leading companies of the most important sectors of the Russian economy, oil and gas and electric power. The proposed method is advisable to use when developing an investment strategy for the development of high-tech projects in these industries.

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Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

Cited by 7 publications

References 25 publications

A Comprehensive Asset Evaluation Method for Oil and Gas Projects

A Comprehensive Asset Evaluation Method for Oil and Gas Projects

Rating of Stability of Russian Companies in Oil and Gas and Electric Power Industries Based on Interval Volatility

Analysis of balance indicators of innovative development of oil-gas Russian companies

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