Theoretical Substantiation of Risk Assessment Directions in the Development of Fields with Hard-to-Recover Hydrocarbon Reserves DOI Creative Commons
Т. В. Семенова,

I. P. Sokolov

Resources, Journal Year: 2025, Volume and Issue: 14(4), P. 64 - 64

Published: April 11, 2025

This article presents a methodology for risk assessment and management in the development of hard-to-recover hydrocarbon reserves. The proposed integrates Monte Carlo simulation fuzzy logic methods, which allows consideration both quantitative stochastic risks (e.g., fluctuations oil prices, variability costs, production volumes) qualitative uncertainties environmental, social, technological risks) that are traditionally difficult to formalize. approach facilitates incorporation associated with complex field developments aims improve managerial decisions through comprehensive assessment. elaborates on theoretical aspects methodology, including identification stages, formalization data using logic, application method integrating various categories. results confirm potential this as tool enhance resilience economic efficiency projects involving

Language: Английский

Multi-slotted airfoil design for enhanced aerodynamic performance and economic efficiency DOI Creative Commons
Mohamed A. Aziz,

Mohamed A. Khalifa,

M.A. Abdelrahman

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 4, 2025

Language: Английский

Citations

2
An Analytical Risk Mitigation Framework for Steel Fabrication Supply Chains Using Fuzzy Inference and House of Risk DOI Creative Commons
Fadillah Ramadhan, Agus Mansur, Nashrullah Setiawan

et al.

Supply Chain Analytics, Journal Year: 2025, Volume and Issue: unknown, P. 100122 - 100122

Published: April 1, 2025

Language: Английский

Citations

0
Theoretical Substantiation of Risk Assessment Directions in the Development of Fields with Hard-to-Recover Hydrocarbon Reserves DOI Creative Commons
Т. В. Семенова,

I. P. Sokolov

Resources, Journal Year: 2025, Volume and Issue: 14(4), P. 64 - 64

Published: April 11, 2025

This article presents a methodology for risk assessment and management in the development of hard-to-recover hydrocarbon reserves. The proposed integrates Monte Carlo simulation fuzzy logic methods, which allows consideration both quantitative stochastic risks (e.g., fluctuations oil prices, variability costs, production volumes) qualitative uncertainties environmental, social, technological risks) that are traditionally difficult to formalize. approach facilitates incorporation associated with complex field developments aims improve managerial decisions through comprehensive assessment. elaborates on theoretical aspects methodology, including identification stages, formalization data using logic, application method integrating various categories. results confirm potential this as tool enhance resilience economic efficiency projects involving

Language: Английский

Citations

0