Статья

Process optimization of reservoir fines trapping by mesoporous silica nanoparticles using Box-Behnken design

Augustine AgiDepartment of Petroleum Engineering, School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, MalaysiaRadzuan JuninDepartment of Petroleum Engineering, School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, MalaysiaMohd Zaidi JaafarDepartment of Petroleum Engineering, School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, MalaysiaNor Aishah Saidina AminChemical Reaction Engineering Group (CREG), School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, MalaysiaAkhmal SidekDepartment of Petroleum Engineering, School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, MalaysiaFaruk YakasaiDepartment of Chemical and Petroleum Engineering, Faculty of Engineering, Bayero University, Kano PMB 3011, NigeriaAzrul Nurfaiz Mohd FaizalCentre of Lipids Engineering & Applied Research (CLEAR), Ibnu-Sina Institute for Scientific & Industrial Research (ISI-SIR), Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, MalaysiaAfeez GbadamosiDepartment of Chemical and Petroleum Engineering, College of Engineering, Afe Babalola University, PMB 5454 Ado-Ekiti, Ekiti State, NigeriaJeffrey O. OsehDepartment of Petroleum Engineering, School of Engineering and Engineering Technology, Federal University of Technology, P.M.B. 1526 Owerri, Imo State, Nigeria

2022en

ABI

Аннотация

Mesoporous silica nanoparticles (MSNP) were used to trap reservoir fines and adsorption capacity of MSNP was optimized. Box-Behnken design was used to model effect of concentration, time, salinity and pH on adsorption capacity of reservoir fines. Multiple response surface method was applied to optimize any combination of variables at which the maximum adsorption of the reservoir fines occurred. Microstructural analysis shows a mesoporous structure ranging from 2.88 to 44.8 nm with high specific surface area of 332 m2/g and purity of 94%. Pseudo-second order with regression coefficient (R2) of 0.99 shows that the model best defines reservoir fines adsorption. Langmuir isotherm model with R2 of 0.985 best fitted the equilibrium adsorption of kaolinite whereas high R2 of 0.98 and lower sum of squared errors of illite for Freundlich model indicates it is better than Langmuir model. Heterogeneity factor value of 1/n < 1 and n values of 5–11 shows sufficient site for adsorption. Predicted reservoir fines adsorption with R2 of kaolinite (98.77%) and illite (99.32%) close to unity indicates that the model is highly consistent with the experimental results with high precision and reliability. Experimental and statistical analysis proved that MSNP can fixate reservoir fines and has adequate capacity to be rejuvenated and reused.

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Идентификаторы

DOI: 10.1016/j.aej.2022.02.016

Цитирования и источники

Цитирований: 2Использованных источников: 0

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