An adaptive neuro-fuzzy approach for modeling of water-in-oil emulsion formation

Yetilmezsoy K., Fingas M., Fieldhouse B.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS, cilt.389, ss.50-62, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 389
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.colsurfa.2011.08.051
  • Dergi Adı: COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.50-62
  • Anahtar Kelimeler: Water-in-oil emulsion, Stability, Adaptive neuro-fuzzy inference system, Regression model, CRUDE-OIL, PREDICTION, PERFORMANCE, NETWORK
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Oil composition and properties including density, viscosity, asphaltene, saturate, aromatics and resin contents are responsible factors for the formation of water-in-crude-oil emulsions. These factors can be used to develop an stability index which determines states of water-in-oil emulsion in terms of either an unstable, entrained, mesostable or stable conditions. It is important to note that most of the regression models cannot capture the non-linear relationships involved in the formation of these emulsions. This study deals with the prediction of water-in-oil emulsions stability by an adaptive neuro-fuzzy inference system (ANFIS) with basic compositional factors such as density, viscosity and percentages of SARA (saturates, aromatics, resins, and asphaltenes) components.