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Application of Fuzzy C-means algorithm as a novel approach to predict solubility of hydrocarbons in carbon dioxide

Darvish, H ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1080/10916466.2017.1421972
  3. Publisher: Taylor and Francis Inc , 2018
  4. Abstract:
  5. In the recent years, declination of oil reservoir causes the importance of researches on enhancement of oil recovery processes become more important. One of wide applicable approaches in enhancement of oil recovery is carbon dioxide injection which becomes interested because of relative low cost, good displacement and environmentally aspects. The injection of carbon dioxide to oil reservoir causes the lighter hydrocarbons of crude oil are extracted by CO2. This phenomena can be affected by various factors such the solubility of hydrocarbons in carbon dioxide so in the present investigation Fuzzy c-means (FCM) as a novel approach for estimation of solubility of alkanes in carbon dioxide in terms of temperature, pressure and carbon number of alkane were utilized. The predicting algorithm FCM has reliable ability to estimate solubility based on graphical and statistical results. The coefficient of determination (R2) for training and testing data are calculated as 0.9856 and 0.9529 respectively. © 2018 Taylor & Francis Group, LLC
  6. Keywords:
  7. Alkane ; EOR ; FCM ; Clustering algorithms ; Copying ; Crude oil ; Fuzzy clustering ; Fuzzy systems ; Hydrocarbons ; Oil well flooding ; Paraffins ; Petroleum reservoir engineering ; Petroleum reservoirs ; Solubility ; Carbon dioxide injection ; Carbon number ; Coefficient of determination ; Fuzzy C-means algorithms ; Oil recoveries ; Oil recovery process ; Oil reservoirs ; Training and testing ; Carbon dioxide
  8. Source: Petroleum Science and Technology ; Volume 36, Issue 4 , 2018 , Pages 308-312 ; 10916466 (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/10916466.2017.1421972