Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Oil spill surface fate model through random walk method with drifted particles in voronoi diagram
Download
12626217.pdf
Date
2021-1-11
Author
Erdoğan, Metehan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
473
views
460
downloads
Cite This
Oil spilling isahazardous case to the marine environment by increasingthe risk of the destruction continually by flowing on the sea, expanding into sea and mixing into the air. Its potential threats can be prevented after the determination of its pathway. So, knowing the extent of oil contaminated sea as accurately as possible helps to decide the clean-up techniques like using skimmer, boom or dispersants and efficiently perform one of them. A well-defined models with the true reflection of the mechanisms behind the oil fate and transport can supply the oil extentto a great degree. Our main motivation in the study is to approach the oil surface processes with care and to numerically obtain the result from their equations in a good precision for instantaneously and constinuously spilled oils. So, a numerical solutionfor oil spreadingis provided by an algorithm already written and updated in thisstudy. It is compared for many scenarios with an analytical solution, an experiment and another numerical solution applying finite element method. The numerical approach in the algorithm uses Nihoul's equation with the Gaussian random walk technique stepping the particles with a diffusive length for the spreading treated like diffusion. The oil surface contamination is demonstrated by Voronoi diagram. Also, the particles are drifted with a velocity of 3% wind speed for the advection in the algorithm. The flexibility of the algorithm are checked through the slick parameters in this study. Besides, detailed analyzes on the slick shape, oil distribution on the surface and the contribution of the spreading regimes are carried out through the algorithm tried onthe prescribed cases. Finally, the algorithm is evaluated with a software embodying the solution to the main oil spreading processes and proposing the clean-up techniques. This study will be evolved by the addition of dispersion, evaporation and other processes expanding the algorithm to three dimensional model in the future.
Subject Keywords
Oil Spreading
,
Advection
,
Numerical Modeling
,
Voronoi Diagram
,
Random Walk Method
URI
https://hdl.handle.net/11511/89767
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Oil mound spreading and migration with ambient groundwater flow in coarse porous media
Corapcioglu, MY; Tuncay, Kağan; Ceylan, BK (American Geophysical Union (AGU), 1996-05-01)
When a light, immiscible oil leaks above an unconfined aquifer, it spreads and forms a floating mound on the water table. The oil mound migrates in the direction of ambient groundwater how. In this study we present a governing equation for the migrating mound thickness by averaging the oil phase mass balance equation. Analytical and numerical solutions to an advective-dispersive type equation are presented to estimate the temporal and spatial distribution of the migrating oil mound thickness for two problem...
Particle tracking modeling of marine sediment pollution
Özdemir, Rabia Tuğçe; Durgut, İsmail; Department of Petroleum and Natural Gas Engineering (2015)
Drilling cuttings, chemicals and drilling mud that are discharged to the sea during drilling in offshore, affect sediment habitat at sea floor. The main stressors describing the impact of discharges on marine sediment are, burial, toxicity and free oxygen depletion. In order to determine the effects of mixing of the discharged material in the sediment column, one dimensional particle tracking model that utilizes the random walk method was developed for estimating the free oxygen, natural carbon and added ch...
FILLING OF THE MARMARA SEA BY THE DARDANELLES LOWER LAYER INFLOW
BESIKTEPE, S; OZSOY, E; UNLUATA, U (1993-09-01)
The sub-halocline waters of the Marmara Sea are renewed with the incoming Dardanelles lower layer flow. As shown by observations, this inflow takes the form of a turbulent plume which first sinks down and then spreads out into the interior. A ''filling box'' model is developed to test the sensitivity of the Dardanelles-Marmara Sea system to the set of relevant environmental parameters. The seasonal variability of the Dardanelles inflow is shown to play a crucial role in the sub-halocline water mass characte...
Natural gas hydrate potential of the Black Sea
Parlaktuna, Mahmut (2001-04-01)
The Black Sea is among the regions that have been cited in the literature as having conditions suitable for natural gas hydrate reserves. Russian scientists confirmed by seismic studies that there are five regions in the Black Sea which are highly promising for hydrate formation. In this study, conventional petroleum engineering methods are utilized to estimate the possible amount of gas available in one of the Black Sea Basins.
Pollution of an aquifer by produced oil field water
Okandan, E; Gumrah, F; Demiral, B (2001-05-01)
Brine is produced from reservoirs as a waste material from crude oil and gas after processing. Waste water may be discharged at the surface or reinjected underground. When it is reinjected, it may be mixed with an underground fresh water source for several reasons. From this point of view, forecasting the pollutant concentrations by knowing the historical data at several locations on a field has great importance when planning the necessary precautions for environmental safety.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Erdoğan, “Oil spill surface fate model through random walk method with drifted particles in voronoi diagram,” M.S. - Master of Science, Middle East Technical University, 2021.