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<strong>PSO-Fuzzy eliminates deficiency of neuro-fuzzy in assessment of asphaltene stability</strong>

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Title Statement <strong>PSO-Fuzzy eliminates deficiency of neuro-fuzzy in assessment of asphaltene stability</strong>
 
Added Entry - Uncontrolled Name Zargar, Ghassem
Gholami, Amin
Asoodeh, Mojtaba ; Islamic Azad University, Birjand Branch
Bagheripour, Parisa
 
Uncontrolled Index Term Asphaltene stability; Particle swarm optimization; Refractive index; SARA fraction data
 
Summary, etc. Precipitation and deposition of asphaltene during petroleum production is a challenging problem confronted by the oil industry compromising the profitability of production fields through loss efficiency of recovery process as well as create remedial cost. Hence, developing a robust model for assessment of asphaltene stability in crude oil is necessary. Δ<em>RI</em> (Δ<em>RI</em> = <em>RI</em> - <em>PRI</em>) is a novel criterion for stability determination of asphaltene in crudes. An integrated intelligent method, called neuro-fuzzy (NF) has been used in this study for estimation of Δ<em>RI </em>from SARA fraction data. NF develops a fuzzy inference system which is subsequently optimized by virtue of learning capability of neural network (NN). Since NN structure, embedded in NF systems is highly at risk of sticking in local minima, another improved fuzzy model is constructed and is subsequently optimized by virtue of particle swarm optimization (PSO) technique. Correlation coefficients for neuro-fuzzy and PSO-fuzzy model are found to be 0.857 and 0.9102, respectively. Comparison between constructed models show optimization of fuzzy model by virtue of PSO technique significantly improves accuracy of final prediction. Implementation of the proposed method indicate that PSO-fuzzy model is capable of accurately predicting asphaltene stability
 
Publication, Distribution, Etc. Indian Journal of Chemical Technology (IJCT)
2016-05-18 13:48:41
 
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http://op.niscair.res.in/index.php/IJCT/article/view/4598
 
Data Source Entry Indian Journal of Chemical Technology (IJCT); ##issue.vol## 22, ##issue.no## 3-4 (2015): IJCT Vol.22(3-4) [May-July 2015]
 
Language Note en
 
Nonspecific Relationship Entry http://op.niscair.res.in/index.php/IJCT/article/download/4598/0
http://op.niscair.res.in/index.php/IJCT/article/download/4598/13705