DocumentCode
710801
Title
Domestic oil by rail distribution analysis
Author
Czenczek, Alexander ; Clatterbuck, Victoria ; Oh, Iksu ; Hutson, Thomas ; Williams, Preston ; Scherer, William
Author_Institution
Univ. of Virginia, Charlottesville, VA, USA
fYear
2015
fDate
24-24 April 2015
Firstpage
7
Lastpage
12
Abstract
The United States has seen a massive increase in oil production over the last ten years due to new fracking technologies that can extract previously unreachable oil. These new fields are not as well connected with traditional mid-stream infrastructure, such as pipelines, and as a result have started to be transported by train car. This paper focuses on analyzing how new and expanding oil refineries and terminals affect the current domestic oil system with a specific focus on those facilities that are using the oil by rail system. Two models were created utilizing crude oil volume flows and netback data for refineries receiving Bakken oil by rail, one that can use given data to mimic the current system, and a second that is able to predict the oil flow when there are changes in the current system. The results will then be analyzed to show the carbon impact that proposed terminals and refineries create and the associated environmental risk. This information will then be used by RFF to help guide their funding decisions to climate advocates and organizations who are working on preventing such projects from occurring throughout the United States.
Keywords
climate mitigation; crude oil; environmental factors; oil refining; optimisation; petroleum industry; pipelines; railway rolling stock; bilevel optimization; climate advocacy; crude oil volume flow; domestic oil system; environmental risk; oil pipeline; oil production; oil refinery; rail distribution analysis; train car; Analytical models; Biological system modeling; Meteorology; Optimization; Predictive models; Proposals; Rails; Bi-level optimization; Decision Analysis; Environmental Systems; Oil by Rail;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Information Engineering Design Symposium (SIEDS), 2015
Conference_Location
Charlottesville, VA
Print_ISBN
978-1-4799-1831-7
Type
conf
DOI
10.1109/SIEDS.2015.7117014
Filename
7117014
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