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dc.contributor.advisorPål Østebø Andersen
dc.contributor.advisorMohammad Ghasemi
dc.contributor.authorStychlerz Jan
dc.date.accessioned2021-10-15T15:51:22Z
dc.date.available2021-10-15T15:51:22Z
dc.date.issued2021
dc.identifierno.uis:inspera:78834591:69668708
dc.identifier.urihttps://hdl.handle.net/11250/2823416
dc.description.abstractOver the years carbon dioxide has been gaining immense attention. Being one of the main greenhouse gases, it contributes to the increment of the global temperature more and more significantly. Existing as a by-product of fuel combustion, technological industries productions, or as a part of natural gas – it is ubiquitous. But CO2 has been found to surprisingly effectively interact with the crude oil in the reservoir, making it an interesting agent in enhanced oil recovery processes. Injecting CO2 as the gas or supercritical fluid into the reservoir has some drawbacks though. One of them is the precipitation of asphaltenes from a crude oil-CO2 mixture. This can lead to severe complications in flow in porous media like reduced permeability, ultimately leading to a decline in the production or injectivity. The study of carbon dioxide volume-pressure influence on the hydrocarbons in terms of asphaltene precipitation is the primary objective of this work. Main controls of the process will be deeply studied and modeled to get a better understanding of CO2 influence. With this study, we want to study the main controls of the asphaltene precipitation during CO2 injection and explore the dependence of the pressure, temperature, and gas content on the process. Series of laboratory measurements performed enabled us to build an accurate PVT model in PVTsim, that can predict asphaltene precipitation in various conditions. Hopefully, this work can deliver a better understanding of the potential asphaltene onset in the CO2-oil mix, making the CO2-EOR and CCS projects more feasible in the future.
dc.description.abstract
dc.languageeng
dc.publisheruis
dc.titleEvaluation of asphaltene deposition during CO2 enhanced oil recovery
dc.typeMaster thesis


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