Algorithm Matches Complexity With Capacity For Refining In Middle East And Africa
International Journal of Engineering Trends and Technology (IJETT) | |
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© 2019 by IJETT Journal | ||
Volume-67 Issue-7 |
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Year of Publication : 2019 | ||
Authors : Eric O.Okeke |
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DOI : 10.14445/22315381/IJETT-V67I7P216 |
Citation
MLA Style: Eric O.Okeke"Algorithm Matches Complexity With Capacity For Refining In Middle East And Africa" International Journal of Engineering Trends and Technology 67.7 (2019): 85-88.
APA Style:Eric O.Okeke(2019). "Algorithm Matches Complexity With Capacity For Refining In Middle East And Africa"International Journal of Engineering Trends and Technology, 67(7), 85-88.
Abstract
Many consultants, researcher and companies have been studying world-wide developments in the downstream sector from distillation to consumption of refined products. This study has focused directly on Middle East and Africa to preview and determine the trend in growth, and attempt to match refinery complexity with capacities. The parameters for the study include the main drivers for the growth, i.e. refined products consumption and specifications, and the announced refinery projects 2010-2015. Evaluating from available base refining data of 2009, defined relationships, factors and indices were applied to project to 2015 and determine the match between complexity and capacity. The outcome of the match showed difference of growth in Middle East complexity (CCI) and distillation capacity of 4% and Africa, 14%. It is worthy to note that Africa’s projected distillation capacity growth of 0.474 mbpd for the period is 21% of Middle East with 2.226 mbpd capacity. In general, the prospects for growth in refining complexity and capacities in Middle East and Africa are apparent from this study. The match of complexity with capacity is closer in the case of Middle East than Africa for same period.This concept can be applied with appropriate assumptions to predict refineries complexities and capacities in these regions beyond 2015.
Reference
[1] Energy Information Administration publications 2009. www.iea.doe.gov/iea,
[2] Hart Energy Consulting. World refining and fuels service 2008-2030.
[3] Koottungal, Leena (Survey Editor/News writer): 2009 Worldwide Refining Survey. Oil & Gas Journal 21 December, 2009
[4] DOE/IEA: Report # DOE/EIA-0554 (2010) April, 2010. International Energy Module.
[5] Okeke, Eric Obiora: The dynamics of refining in Middle East & Africa: capacities, complexities and challenges. OPEC Summer Fellowship Programme 2010. OPEC Secretariate, Helferstorferstrasse 17, A-1010 Vienna, Austria.
Keywords
Refining, modelling, algorithm, complexity, capacity