Record Details

Blowout and spill occurrence model

ScholarsArchive at Oregon State University

Field Value
Title Blowout and spill occurrence model
Names Sim, Lawrence H. (creator)
Graham, James (advisor)
Date Issued 2013-09-13 (iso8601)
Note Graduation date: 2014
Abstract To assist with risk-assessment with deepwater and ultra-deepwater prospects for offshore energy extraction as well as provide a useful tool for oil spill response, a spatially-explicit model was developed for comprehensive simulations of a blowout event from the wellhead to final fate and degradation. The Blowout and Spill Occurrence Model (BLOSOM) was created to handle deepwater jets and plumes, equations of state for crude oil mixtures and gases at great pressures, hydrate kinetics, non-surfacing plumes, and comprehensive weathering and degradation processes while maintaining the flexibility and adaptability required for risk assessment simulations.

BLOSOM is comprised of several components working in tandem to accurately simulate the various states and phases experienced by such a spill both through time and in light of the extreme pressures and physical conditions that a blowout event in great water depths will be subjected to. These components include the crude oil model, the gas/hydrates model, the jet/plume model, the transport model, the weathering model, and the hydrodynamic handler.

Though their individual physics and algorithms works independently, they have been designed to coordinate and work in tandem to simulate the complexities and multi-phase physics of a blowout event. An integration of all separate parts, modifications to improve simulations in great water depths, attention to accurately handling conversions and transfers of data between models, a goal of adapting outputs for impact models, and an overarching design philosophy of flexibility for various locations and blowout conditions impart upon BLOSOM greater accuracy and ability to provide risk assessment capabilities.
Genre Thesis/Dissertation
Topic Oil spills -- Mathematical models
Identifier http://hdl.handle.net/1957/43336

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