Numerical 3D modelling of oil dispersion in the sea due to different accident scenarios

Guandalini, Roberto; Agate, Giordano; Moia, F.

doi:10.1016/j.egypro.2017.08.165

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…Mathematical models of the distribution of pollutants in water bodies are considered, for example, in [6][7][8][9][10][11]. At the same time, the presented works are mainly devoted to the study of oil spills in coastal waters, taking into account various factors.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, the presented works are mainly devoted to the study of oil spills in coastal waters, taking into account various factors. Thus, in [7] in a threedimensional setting, two different scenarios of an oil spill into the sea are studied, which assume both low and high intensity of its outflow. At the same time, the model under consideration also took into account meteorological conditions, as well as sea water parameters (temperature, salinity).…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of distribution of pollutant in channel

Gimaltdinov,

Stolpovskij,

Kochanova

et al. 2024

E3S Web Conf.

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The paper presents the problem of the propagation of a pollutant (phenol) emission in a channel through which pure water flows. The mathematical model of the presented problem is based on the continuity equations. The distributions of the main parameters of the system are constructed. It is shown that in the absence of ledges, the pollutant flow moves in the channel in the form of a jet with a clearly defined core. In this case, the presence of ledges, due to the turbulence of the flow, leads to the emergence of rather large areas of pollution along the height of the channel. The dynamics of changes in the concentration of a pollutant along the height of the channel has been studied. It is shown that in the case of a working pollution source, the highest concentration is observed near the free surface of the channel. In the case when the source is not working, the highest concentration is observed at the bottom.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical simulation of distribution of pollutant in channel

Gimaltdinov,

Stolpovskij,

Kochanova

et al. 2024

E3S Web Conf.

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“…According to our analysis of accidents their main causes are (Figure 1): The problems of regulating the use of contaminated land and water bodies have been covered in the works of the following authors [1][2][3]. The issues of regulating the rational use of natural resources and ecology have been discussed in the works of the authors [4][5]. However, in general, the task of assessing the risks of emergencies in the northern territories is far from being completed.…”

Section: Introductionmentioning

confidence: 99%

Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting

Moskalev

Grebnev

2021

E3S Web Conf.

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Industrial development and active development of resources in the territory of the fragile Arctic ecosystem requires proper control of technological processes at enterprises located in these areas. Analysis and subsequent modelling of oil and oil products spills are performed in order to elaborate preventive measures concerning emergencies, means and methods of their liquidation being constantly ready to ensure safety of people and territories, as well as to reduce damage and losses as much as possible in case of their occurrence. The methods of oil product spill area assessment used at present, especially in the Arctic zone, have a number of limitations. This article presents modelling of the process of oil products spill to calculate pollutants concentration distribution and prediction of pollution area up to the moment of its localization with the application of neural network methods. The empirical results were got with NeuroPro neural network simulator and the PHOENICS software product were chosen. The simulation results were correlated with the data obtained in the analysis of an accident caused by depressurization of an aircraft fuel transfer pipeline from on an oil-loading pier on a river in the Arctic zone of Krasnoyarsk Krai.

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“…Based on that, Guandalini et al [9] studied the development of a method that can be used to evaluate the dynamics of hydrocarbon dispersion in the sea. The developed 3D numerical model was applied to hypothetical spill scenarios and it was discovered that the model was able account for the dispersion process involved in the complexity of the sea system.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Crude Oil Dispersion in Water

Ogunyemi

Abisuwa

Omotara

et al. 2020

JERA

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Dispersion is one of the fate processes of oil spill. This research has been carried out on the numerical simulation of the dispersion of crude oil using the model obtained from the work of Hamam (1987). The model was solved with the explicit, implicit and Crank-Nicolson methods of solution of partial differentiation equations with the aid of MATLAB, and the concentration of the crude oil dispersed in water was obtained. The results obtained revealed that the three methods could be used to study the process because the profiles given by all of them were very similar. Also discovered from the investigations carried out was that the concentration of crude oil was decreasing with time for a particular spatial point while, for a particular time, it was increasing along the length of the water body. It was also discovered that experiments would be very necessary in order for the validation of the results obtained from the simulations.

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Numerical 3D modelling of oil dispersion in the sea due to different accident scenarios

Cited by 7 publications

References 5 publications

Numerical simulation of distribution of pollutant in channel

Numerical simulation of distribution of pollutant in channel

Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting

Numerical Simulation of Crude Oil Dispersion in Water

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