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Subject: search.filters.subject.Crude oil

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    Comparative flow behavior of oil sludge and crude oils from algerian storage tanks
    (CNESE, 2025) Souas, Farid; Safri, Abdelhamid; Gueciouer, Abderazak
    This study investigates the flow behavior of tank bottom sludge and two crude oil samples by analyzing the variation of viscosity and shear stress with shear rate and temperature. The flow curves reveal that all samples exhibit non-Newtonian, shear-thinning behavior characterized by a distinct yield stress, particularly prominent in the sludge due to its high content of heavy fractions such as asphaltenes, resins, and solid particulates. Viscosity and shear stress consistently decrease with increasing temperature, a result of the thermal disruption of intermolecular forces and breakdown of microstructural networks. At low shear rates, sludge displays more pronounced shear-thinning behavior than crude oils, while at high shear rates, all samples approach Newtonian flow regimes due to molecular alignment and structural degradation. Model fitting shows the Herschel-Bulkley model best describes the sludge's rheology, whereas the Casson model better fits the crude oils under specific temperature conditions. Temperature sensitivity analysis (10–40 °C) indicates that crude oils experience greater viscosity reduction than sludge, with crude 1 showing the highest response due to its thermally labile composition. Yield stress also diminishes with temperature, reflecting the weakening of internal structural rigidity. These findings underscore the critical influence of composition and temperature on the flow properties of petroleum-derived fluids, with implications for pipeline transport and sludge management
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    Using Machine Learning Algorithms for the Analysis and Modeling of the Rheological Properties of Algerian Crude Oils
    (Taylor and Francis Ltd., 2024) Souas, Farid; Oulebsir, Rafik
    Our research described in this report investigated the rheological behavior of crude oils from the Tin Fouye Tabankort oil field in Southern Algeria, focusing on their viscosity under varying temperatures (10 °C–50 °C). The results show that the oils exhibited non-Newtonian shear-thinning behavior at low shear rates, with the viscosity decreasing as the temperature was increased. At higher shear rates, the Herschel–Bulkley model accurately described the oils’ transition to Newtonian behavior. Machine learning models, including CatBoost, LightGBM, and XGBoost, were trained on the experimental data to predict the viscosity, with CatBoost and XGBoost showing superior performance. We suggest these findings are valuable for improving the efficiency of oil transportation and processing.
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    Rheological behavior and microstructural properties of crude oil and emulsions (water/oil-oil/water)
    (Taylor & Francis, 2024) Yacine, Celia; Safri, Abdelhamid; Djemiat, Djamal Eddine; Benmounah, Abdelbaki
    An experimental study on crude oil (from the Tin Fouye Tabankort oil field in southern Algeria) was carried out. This study allowed us to understand the rheological behavior of this crude oil with these different emulsions and how it reacts under the effects of temperature and the inversion of its phase from E/H to H/E. So we measured the rheological characteristics by tests flow and dynamic mode at different temperatures from 10 °C to 50 °C and at different water concentrations (20.40.50.60 and 70%) at a fixed temperature of 20 °C. The increase in temperature results in a 31.84% reduction in the initial viscosity of the crude oil. The addition of the volumic fractions of water results in an increase in viscosity at the point of inverse, which will decrease the apparent viscosity of these emulsions where the emulsions (W/O) come from (O/W). This crude oil and their emulsions exhibit a non-Newtonian behavior with shear thinning. The dynamic analysis depends on the temperature and the percentages of water added to the crude oil. At the end, a microscopic analysis was added to verify the relationship between the shape and diameter of the water droplets in each emulsion and the viscosity variation.
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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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    Rheological behavior of oil sludge from Algerian refinery storage tanks
    (Elsevier, 2022) Souas, Farid
    Rheological behavior of oil sludge from Algerian refinery storage tanks Farid Souas a, b, * a LEGHYD Laboratory, Faculty of Civil Engineering, University of Science and Technology Houari Boumediene (USTHB), Bab Ezzouar, Alger, Algeria b Research Unit Materials, Processes and Environment (UR-MPE), Faculty of Engineering Science, University M’Hamed Bougara, Boumerdes, Algeria a r t i c l e i n f o Article history: Received 15 August 2021 Received in revised form 20 December 2021 Accepted 28 January 2022 Available online xxx Keywords: Crude oil Rheology Sludge Storage tank Temperature Viscosity a b s t r a c t The consumption and demand for petroleum are increasing dramatically with the rapid development of industry and energy sector. As a result, petroleum refineries produce the greatest amount of oily sludge formed at the bottom of storage tanks during oil storage operations, which has a severely negative impact on the storage capacity and the operational safety of the storage tank. The present study focuses on the rheology of this complex fluid from Algerian crude oil storage tanks. Rheological measurements were performed at different temperatures under steady shear and dynamic oscillometry using AR-2000 Rheometer. The results obtained show that the sludge exhibits yield-pseudoplastic flow behavior at low shear rates, which is adequately described by the Herschel Bulkley model based on the standard error and correlation coefficient values. However, quasi-Newtonian flow behavior occurs at very high shear rates. The increase in temperature had positive effects on the rheological properties of the sludge, including dynamic viscosity, shear stress, yield stress, complex modulus, elastic modulus and viscous modulus. The dynamic rheology studies have shown that the sludge material behaves more like a solid than a liquid under all experimental conditions studied
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    Rheological behavior of an Algerian crude oil containing sodium dodecyl benzene sulfonate (SDBS) as a surfactant : flow test and study in dynamic mode
    (Elsevier, 2015) Djemiat, Djamal Eddine; Safri, Abdelhamid; Benmounah, Abdelbaki; Safi, Brahim
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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%