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    Application of ANFIS-GA algorithm for forecasting oil flocculated asphaltene weight percentage in different operation conditions

    , Article Petroleum Science and Technology ; Volume 36, Issue 12 , 2018 , Pages 862-868 ; 10916466 (ISSN) Keybondorian, E ; Soltani Soulgani, B ; Bemani, A ; Sharif University of Technology
    Taylor and Francis Inc  2018
    Abstract
    Asphaltene which cover range of 1% to over 10% of oil by weight, is well-known as most problematic part of oil that can deposit during production in reservoir, well tubing, and surface production lines, and consequently impose a serious restriction on production which in turn increases total cost of entire operation. Through decades an extensive research has been performed in order to identify asphaltene molecular structure, its behavior at different condition, and its separation mechanism from oil. One of most critical parameter associated with asphaltene precipitation modeling is flocculated asphaltene weight percentage in oil at given operation condition. In this study, to eliminate cost...