A novel ANFIS model to prediction of the density of n-alkane in different operational condition

Published on Oct 1, 2019in Petroleum Science and Technology0.976
· DOI :10.1080/10916466.2019.1616756
Hossein Rajabi Kuyakhi3
Estimated H-index: 3
(University of Gilan),
Ramin Tahmasbi Boldaji1
Estimated H-index: 1
(UI: University of Isfahan)
Sources
Abstract
AbstractThe density has an important role in the oil and gas industries calculation. In this study, an adaptive neuro-fuzzy interference system (ANFIS) model was employed to predict the density of ...
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In this paper, two types of machine learning, namely neuro-fuzzy inference system (ANFIS) and multilayer perceptron (MLP), have been studied to model light hydrocarbons’ solubility solvent in bitum...
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Abstract The solvent diffusivity is considered as a key factor in the design of solvent assisted processes in the bitumen field. In this study, a novel Adaptive neuro-fuzzy interference system (ANFIS) is employed to evaluate the diffusivity of the light hydrocarbons in the bitumen system. The particle swarm optimization (PSO) and genetic algorithm (GA) are adopted to promote ANFIS efficiency. The proposed models are established by a prepared dataset from multiple papers in the literature. Temper...
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