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

Development of a Quantitative Assessment Algorithm for Operational Risks in Mining Engineering DOI Creative Commons
Marina Nevskaya, Anna Shabalova, Liubov Nikolaichuk

et al.

Resources, Journal Year: 2025, Volume and Issue: 14(4), P. 53 - 53

Published: March 25, 2025

Whenever any type of ore deposit is developed, it comes with significant risks, such as uncertain reserves, harsh climate conditions, and other uncontrollable factors. To manage these risks effectively, companies need to quickly adapt changing conditions. This paper presents a method for evaluating using simulation model. The main objective identify factors operational risk determine the project parameters that have greatest impact on probability event. includes classification based way they arise; creation decomposition matrix dividing by production tasks; construction mathematical model identified was tested developing an underground mine conveyor network in Anylogic (8.9.2) software. A experiment showed shutdowns could result 11.23% reduction annual revenue. Based results, recommendations were made how can be reduced implement transport system increase resilience.

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