Statistically Enhanced Well-to-Tank Greenhouse Gas Model of In Situ Oil Sands: An Evaluation of Variability

Date
2015-09-30
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Abstract
The Canadian oil industry is being scrutinized due to the carbon intensity of oil sands products. Significant variation in greenhouse gas (GHG) emissions of oil sands production has been documented over time due to changing operating parameters. This thesis develops a tool that allows for a detailed, statistically-enhanced variability analysis of the energy use and GHG emissions associated with the production, transportation and processing of in situ oil sands bitumen. Additional modelling capability is added to the previously developed GHG emissions of current Oil Sands Technologies (GHOST) model. Public data-bases are collected to inform Monte Carlo simulations that allow for a better evaluation of variability in monthly GHG emissions across and throughout in situ operating projects. The outcome of this research better assess the nature and degree of variability in GHG emissions of in situ oil sands on a project specific and industry wide basis.
Description
Keywords
Engineering--Chemical, Engineering--Environmental, Engineering--Petroleum
Citation
Orellana Abreu, A. (2015). Statistically Enhanced Well-to-Tank Greenhouse Gas Model of In Situ Oil Sands: An Evaluation of Variability (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27877