Modeling the Critical Properties of Organic Substances Using Adaptive Neuro-Fuzzy Inference System

AuthorsSeyed Abolfazl Sajjadi Nooshabadi, Ebrahim Nemati Lay
Conference TitleThird National Conference and First International Conference on Applied Research in Chemistry and Chemical Engineering
Holding Date of Conference2016-4-22
Event Placeتهران
PresentationSPEECH
Conference LevelInternational Conferences

Abstract

Understanding the critical properties of materials is essential in all hydrocarbon production and process operations. In the present study, critical properties modeling (temperature, pressure and volume) on 7000 organic matter was performed by Neuro-fuzzy Adaptive Inference System. The mean relative error and squared correlation coefficients of the final model for the critical temperature are 0), indicating the mean (0/5) 96/65/15/15, 2/94 (94/94) and the critical pressure to The order has a good accuracy of 95 to estimate the critical properties of organic matter.