Publications Scientifiques

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Author: search.filters.author.Hamada, BoudjemaSubject: search.filters.subject.Crude oil

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    Prediction of Wax Appearance Temperature Using Artificial Intelligent Techniques
    (Springer, 2020) Benamara, Chahrazed; Gharb, Kheira; Nait Amar, Menad; Hamada, Boudjema
    The paraffin particles can promote and be involved in the formation of deposits which can lead to plugging of oil production facilities. In this work, an experimental prediction of wax appearance temperature (WAT) has been performed on 59 Algerian crude oil samples using a pour point tester. In addition, a modeling investigation was done to create reliable WAT paradigms. To do so, gene expression programming and multilayers perceptron optimized with Levenberg–Marquardt algorithm (MLP-LMA) and Bayesian regularization algorithm were implemented. To generate these models, some parameters, namely density, viscosity, pour point, freezing point and wax content in crude oils, have been used as input parameters. The results reveal that the developed models provide satisfactory results. Furthermore, the comparison between these models in terms of accuracy indicates that MLP-LMA has the best performances with an overall average absolute relative error of 0.23% and a correlation coefficient of 0.9475.
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    Carbone nanospheres synthesis by pyrolysis of crude oil and optimization of parameters growth by response surface methodology (RSM)
    (Applied Chemistry, 2015) Boufades, Djamila; Pemanos Yelda, Bakoz; Mousidene, Anissa; Benmebrouka, Hafsa; Doumandji, Lotfi; Hamada, Boudjema
    Algerian oil as a new source of carbon is used to prepare the carbon nanospheres (CNSs) by pyrolysis method. A mixture of crude oil and FeCl3.6H2O solution as catalyst was injected into the reaction furnace to produce CNSs in an inert atmosphere, followed by multi step purification to remove different impurities. The carbon nanospheres have been characterized by scanning electron microscopy (SEM), energy dispersive X-rays spectroscopy (EDAX), X-ray diffraction(XRD), Raman spectroscopy and FTIRspectrum. The SEM image reveals that these CNSs have smooth surfaces and uniform particles with a diameter lower than 500 nm. the XRD and Raman studies shows that the graphitization degree of CNSs is not high , while the EDAX analysis shows that more than 98 % of the CNSs is carbon, FTIR proved the presence of new functions after samples treatment such as acid function. This study reports the optimization of various process parameters such as, temperature of reaction (860-940°C), process Time (90-150min)and mass ratio catalyst/Crude oil (0.83 10-3-2.4810-3 g/g) for increasing the Yield of CNSs. A MODDE 6.0 experimental design was employed for the optimization of synthesis of crude oil to ensure high production of carbon nanospheres in a low catalyst concentration and high temperature for a short length of time. The analysis of variance showed a high coefficient of determination value (R2 = 0.965) and Maximum CNSs production was predicted and experimentally validated, the optimized process conditions were identified to be reaction temperature of 900°C, duration synthesis of 113min and mass ratio catalyst /crude oil of 0.8 10-3 g/g with a yield of 13.23%