Browsing by Author "Friday, Joel Ogbonna"
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Item Adsorption of Heavy Metals Contaminants in Used Lubricating Oil Using Palm Kernel and Coconut Shells Activated Carbons(2020-03-10) Opoku, Boadu Kwasi; Friday, Joel Ogbonna; Kofi, Essumang DavidAbstract: This research work investigated the adsorption of some heavy metals contaminants in used lubricating oil using chemically activated carbon adsorbents produced from palm kernel and coconut shells. The adsorption mechanism was able to remove some heavy metals such as zinc, chromium, cadmium and magnesium contaminants from the used lubricating oil to appreciable levels. For instance, zinc from initial concentrations of 16.475±0.950 ppm before to 10.375±0.171 ppm after filtration processes for used lubricating oil sample A. Also, for coconut shell from an initial concentration of 14.575±0.272 ppm to 5.450±0.3000 ppm after filtration processes. It was observed that the coconut shell activated carbons was effective in the removal of lead metals while palm kernel cannot. However, the activated carbons produced from palm kernel and coconut shells are not suitable for the removal of both copper and iron metals. For example, after the filtration process with the palm kernel shell activated carbon, the mean concentration of copper metal increases for virgin (C) 0.001± 0.000 to 0.075±0.013 ppm and used lubricating oil samples (A&B) from 0.150±0.008 to 0.400±0.018 ppm and from 0.220±0.096 to 0.230±0.008 ppm respectively. Also, in the case of the coconut shell activated carbon, the mean concentration of copper in virgin lubricating oil remains the same 0.001±0.000 whereas for used lubricating oils samples (i.e. A&B) it increases from 0.150±0.008 to 0.780±0.014 and from 0.220±0.096 to 0.790±0.026 respectively. Also, the equilibrium adsorption data were analysed using the Langmuir isotherm model. The fit of this isotherm model to the equilibrium adsorption data was determined, using the linear coefficient of correlation (R2). The following R2 values were obtained; Copper (0.8185), Cadmium (0.8347), Lead (0.9349), Chromium (0.9378), Iron (0.9927), Zinc (0.9953), and Magnesium (0.9997) respectively. From the results obtained and statistics point of view, it can be concluded that the Langmuir model shows a better fit due to the high coefficient of correlation (R2 ≈ 1). The recovered oil could be also re-used.Item Modelling and Evaluation of the Effect of Temperature on the Rheological Properties of Drilling Mud Formulated with Local Barite(SSRG International Journal of Chemical Engineering Research, 2021-04-26) Ngoz, Nnadi Chidiebere; Koyejo, Oduola Mujeeb; Friday, Joel OgbonnaThis research paper assesses the effect of temperature on the rheological properties of Water-Based and Oil-Based Muds. The Muds were formulated with locally sources barite from 5 locations in Nigeria.Third order polynomial models have been considered to model the rheological properties as a function of SG (Specific gravity) which were generated using least square method and regressed with the Excel GRG (Generalized Reduced Gradient) Non-Linear Forward derivative solver. The absolute mean percentage error of the model data and measured data were calculated for all rheological properties and WBM 10” Gel strength had the highest error of 6.578% followed by OBM Yield Point of 4.443%. WBM Plastic viscosity showed the least error of 0.315%, seconded by WBM 10’ Gel strength with error of 0.339%. Findings from this work indicated that barites Samples B3 and B5 are good barites for WBM formulation as their rheology withstood increasing temperature the most and B4 is better for OBM formulation. Also, B1 and B2 will be good for OBM formulation if beneficiated to increase its SG and remove impurities.Item Modelling and Evaluation of the Effect of Temperature on the Rheological Properties of Drilling Mud Formulated with Local Barite(SSRG - IJCER Journal, 2021) Ngozi, Nnadi Chidiebere; Koyejo, Oduola Mujeeb; Friday, Joel Ogbonna