EVALUATION OF CRUDE OIL PROPERTY USING INTELLIGENCE TOOL: FUZZY MODEL APPROACH

Viscosity is one of themost important governing parameters of the fluid flow, either in the porousmedia or in pipelines. So it is important to use an accurate method to calculate the oil viscosity at various operating conditions. In the literature, several empirical correlations have been proposed for predicting undersaturated crude oil viscosity. However these correlations are not able to predict the oil viscosity adequately for a wide range of conditions. In present work, an extensive experimental data of undersaturated oil viscosities from different samples of Iranian oil reservoirs was applied to develop a Fuzzy model to predict and calculate the undersaturated oil viscosity. Validity and accuracy of these models has been confirmed by comparing the obtained results of these correlations and with experimental data for Iranian oil samples. It was observed that there is acceptable agreement between Fuzzy model results with experimental data.