Modelling and Simulation of Chemical and Biochemical Reaction Systems, Computational Fluid Dynamics, Adsorption, Separation Processes, Environmental Engineering and Optimization studies.
26
Scopus Publications
804
Scholar Citations
16
Scholar h-index
23
Scholar i10-index
Scopus Publications
Integration of Machine Learning and Feature Analysis for the Optimization of Enhanced Oil Recovery and Carbon Sequestration in Oil Reservoirs Bukola Mepaiyeda, Michal Ezeh, Olaosebikan Olafadehan, Awwal Oladipupo, Opeyemi Adebayo, et al. Chemengineering, 2026 The dual imperative of mitigating carbon emissions and maximizing hydrocarbon recovery has amplified global interest in carbon capture, utilization, and storage (CCUS) technologies. These integrated processes hold significant promise for achieving net-zero targets while extending the productive life of mature oil reservoirs. However, their effectiveness hinges on a nuanced understanding of the complex interactions between geological formations, reservoir characteristics, and injection strategies. In this study, a comprehensive machine learning-based framework is presented for estimating CO2 storage capacity and enhanced oil recovery (EOR) performance simultaneously in subsurface reservoirs. The methodology combines simulation-driven uncertainty quantification with supervised machine learning to develop predictive surrogate models. Simulation results were used to generate a diverse dataset of reservoir and operational parameters, which served as inputs for training and testing three machine learning models: Random Forest, Extreme Gradient Boosting (XGBoost), and Artificial Neural Networks (ANN). The models were trained to predict three key performance indicators (KPIs): cumulative oil production (bbl), oil recovery factor (%), and CO2 sequestration volume (SCF). All three models exhibited exceptional predictive accuracy, achieving coefficients of determination (R2) greater than 0.999 across both training and testing datasets for all KPIs. Specifically, the Random Forest and XGBoost models consistently outperformed the ANN model in terms of generalization, particularly for CO2 sequestration volume predictions. These results underscore the robustness and reliability of machine learning models for evaluating and forecasting the performance of CO2-EOR and sequestration strategies. To enhance model interpretability and support decision-making, SHapley Additive exPlanations (SHAP) analysis was applied. SHAP, grounded in cooperative game theory, offers a model-agnostic approach to feature attribution by assigning an importance value to each input parameter for a given prediction. The SHAP results provided transparent and quantifiable insights into how geological and operational features such as porosity, injection rate, water production rate, pressure, etc., affect key output metrics. Overall, this study demonstrates that integrating machine learning with domain-specific simulation data offers a scalable approach for optimizing CCUS operations. The insights derived from the predictive models and SHAP analysis can inform strategic planning, reduce operational uncertainty, and support more sustainable oilfield development practices.
Modeling and Simulation of Partial Oxidation of Methanol to Formaldehyde on FeO/MoO3 Catalyst in a Catalytic Fixed Bed Reactor A. O. Olatunde, O. A. Olafadehan, M. Usman Iranian Journal of Chemistry and Chemical Engineering, 2021 A two-dimensional mathematical model was developed for a porous heterogeneous catalytic fixed bed reactor. The model took into account the effect of heat generated by adsorption of reactants on the catalyst surface and heat transfer from the fluid phase to the surroundings which have significant effect on reactor performance especially at reactor hotspot. The developed model predicted the partial oxidation of methanol to formaldehyde on FeO/MoO3 catalyst, a complex reaction system. Excellent agreement was achieved when the resultant simulated results were compared with experimental data in the literature. The proposed model predicted the location of hotspot at a dimensionless distance of 0.4413 (= 0.0309 m) the same as the experiment value but with a temperature of 619 K compared with experimental value of 622 K. The conventional heterogeneous and pseudo-homogeneous models predicted the hotspot temperature to be about 8 K and 34 K lower than the experimental value respectively.
Optimum Conditions for Extraction of Chitin and Chitosan from Callinectes amnicola Shell Waste O. A. Olafadehan, T. O. Ajayi, K. O. Amoo Theoretical Foundations of Chemical Engineering, 2020 The optimization of process variables for the extraction of chitin and chitosan from crab (Callinectes amnicola) shell waste and for the degree of deacetylation (DDA) of extracted chitosan was investigated using response surface methodology (RSM). The respective effects of four and three process parameters on the extraction yields of chitin and chitosan and on the DDA of chitosan were examined. The optimized chitin extraction conditions based on the yield (4.84 g or 19.36%) were obtained to be 3.25 M HCl solution, 18.55 h demineralization time, 2.39 M NaOH solution and 2 h deproteinization time, while the maximum chitosan yield (5.98 g or 13.29%) was obtained at modelled optimized conditions of 50% w/w NaOH solution, 85.05°C deacetylation temperature, and 133.64 min deacetylation time. The modelled optimization conditions for the highest DDA of chitosan produced from crab shell waste were 50% w/w NaOH solution, 84.46°C deacetylation temperature, and 187 min deacetylation time, with the corresponding predicted DDA of 84.20%. Excellent agreement was obtained between experimental DDA of chitosan (84.50%) and the predicted value, with the percentage error being ±0.36. Independent predicted robust quadratic models for predicting the yields of chitin and chitosan extraction and the DDA of chitosan from the crab shell waste were obtained, validated and verified.
Numerical solution of steady state dispersion flow model for lactose-lactase hydrolysis with different kinetics in fixed bed Journal of Engineering Science and Technology, 2010
Optimisation Studies of Naphthalene Adsorption on Bentonite Clay Impregnated on Chitosan and Surfactant using RSM–CCD, ANN–BP and ANN–PSO Techniques OA Olafadehan Journal of Engineering Research 31 (1), 111-133 , 2026 2026
Modelling an End-of-Pipe Technology for Processing Petroleum Oily Sludge OA Olafadehan, KE Abhulimen, NB Eze, AM Bello, QO Olafadehan Journal of Chemical and Petroleum Engineering , 2026 2026
Integration of Machine Learning and Feature Analysis for the Optimization of Enhanced Oil Recovery and Carbon Sequestration in Reservoirs B Mepaiyeda, M Ezeh, O Olafadehan, A Oladipupo, O Adebayo, E Osaro ChemRxiv 2025 (0826) , 2025 2025 Citations: 3
Dynamic Studies of Binary Adsorption System in Fixed Beds using Orthogonal Collocation on Finite Element Method OA Olafadehan, KO Amoo, KFK Oyedeko, AJ Adesina International Journal of Applied and Computational Mathematics 10 (3), 108 , 2024 2024 Citations: 1
Adsorption of cobalt (II) ions from aqueous solution using cow bone and its derivatives: Kinetics, equilibrium and thermodynamic comparative studies KO Amoo, TE Amoo, OA Olafadehan, EE Alagbe, AJ Adesina, ... Results in Engineering 20, 101635 , 2023 2023 Citations: 25
Effect of catalyst-to-oil ratio and catalyst temperature on determining the yield of gasoline in the riser reactor OG Abatan, OA Olafadehan, VE Efeovbokhan, O Oladokun, AO Ayeni Results in Engineering 19, 101224 , 2023 2023 Citations: 3
Dynamic studies of binary adsorption system in fixed beds OA Olafadehan, KO Amoo, KFK Oyedeko, AJ Adesina 2023
Comparative analysis of machine learning algorithms in predicting rate of penetration during drilling OA Olafadehan, ID Ahaotu Journal of Petroleum Chemistry and Engineering 1 (1), 32-47 , 2023 2023 Citations: 6
Production and characterization of composite nanoparticles derived from chitosan, CTAB and bentonite clay OA Olafadehan, VE Bello, KO Amoo Chemical Papers 76 (8), 5063-5086 , 2022 2022 Citations: 10
Evaluation of Heterocyclic Aromatic Compound Dye (Methylene Blue) on Chitosan Adsorbent Sourced from African Snail Shell: Modelling and Optimization Studies OAO Victor Ehigimetor Bello Journal of Applied Science & Process Engineering 9 (1), 1054–1090 , 2022 2022 Citations: 4
Comparative Studies of RSM, RSM–GA and ANFILS for Modeling and Optimization of Naphthalene Adsorption on Chitosan–CTAB–Sodium Bentonite Clay Matrix VEB Olaosebikan Abidoye Olafadehan Journal of Applied Science & Process Engineering 9 (2), 1242–1280 , 2022 2022 Citations: 2
Mechanistic Kinetic Models for Catalytic Alkylation of Toluene with Methanol for Xylene Production LSDBAM Olafadehan OA Petroleum and Petrochemical Engineering Journal 6 (1), 1–16 , 2022 2022
Binary Adsorption of Phenol and 2-Chlorophenol on Chitosan Derived from Pink Shrimp Shell BVEASG Olafadehan O. A., Amoo K. O, Oyedeko K. F. K., Bello A. M. Petroleum and Petrochemical Engineering Journal 6 (1), 1–18 , 2022 2022 Citations: 4
Isotherms, kinetic and thermodynamic studies of methylene blue adsorption on chitosan flakes derived from African giant snail shell OA Olafadehan, VE Bello, KO Amoo, AM Bello African Journal of Environmental Science and Technology 16 (1), 37-70 , 2022 2022 Citations: 20
Modeling and simulation of partial oxidation of methanol to formaldehyde on feo/moo3 catalyst in a catalytic fixed bed reactor AO Olatunde, OA Olafadehan, MA Usman Iranian Journal of Chemistry and Chemical Engineering 40 (6), 1800-1813 , 2021 2021 Citations: 7
Comparative investigation of RSM and ANN for multi-response modeling and optimization studies of derived chitosan from Archachatina marginata shell VE Bello, OA Olafadehan Alexandria Engineering Journal 60 (4), 3869-3899 , 2021 2021 Citations: 51
Kinetic studies of corrosion of mild steel in acidic medium using grewa venusta leaves extract as inhibitor. L Salami, OA Olafadehan, RJ Patinvoh, NA Folami 2021
Characterization and Beneficiation of Clays from Ewekoro for use as Drilling Mud AO Olatunde, OA Olafadehan, MA Usman, TA Adeosun World Scientific News 159, 45-58 , 2021 2021 Citations: 3
Extraction and characterization of chitin and chitosan from Callinectes amnicola and Penaeus notialis shell wastes OA Olafadehan, KO Amoo, TO Ajayi, VE Bello Journal of Chemical Engineering and Materials Science 12 (1), 1-30 , 2021 2021 Citations: 61
Optimum Conditions for Extraction of Chitin and Chitosan from Callinectes amnicola Shell Waste OA Olafadehan, TO Ajayi, KO Amoo Theoretical Foundations of Chemical Engineering 54 (6), 1173-1194 , 2020 2020 Citations: 19
MOST CITED SCHOLAR PUBLICATIONS
Improvement of rheological properties of drilling fluid using locally based materials. AO Olatunde, MA Usman, OA Olafadehan, TA Adeosun, OE Ufot Petroleum & Coal 54 (1) , 2012 2012 Citations: 108
Treatment of brewery wastewater effluent using activated carbon prepared from coconut shell OA Olafadehan, OW Jinadu, L Salami, LT Popoola International Journal of Applied Science and Technology 2 (1), 165-178 , 2012 2012 Citations: 72
Extraction and characterization of chitin and chitosan from Callinectes amnicola and Penaeus notialis shell wastes OA Olafadehan, KO Amoo, TO Ajayi, VE Bello Journal of Chemical Engineering and Materials Science 12 (1), 1-30 , 2021 2021 Citations: 61
Characterisation study of solid wastes: a case of Lagos state L Salami, AA Susu, RJ Patinvoh, OA Olafadehan International Journal of Applied Science and Technology 1 (3) , 2011 2011 Citations: 53
Comparative investigation of RSM and ANN for multi-response modeling and optimization studies of derived chitosan from Archachatina marginata shell VE Bello, OA Olafadehan Alexandria Engineering Journal 60 (4), 3869-3899 , 2021 2021 Citations: 51
Treatment of industrial wastewater effluent OA Olafadehan, DS Aribike Journal of Nigerian Society of Chemical Engineers 19, 50-53 , 2000 2000 Citations: 35
Optimization studies of chitin and chitosan production from Penaeus notialis shell waste KO Amoo, OA Olafadehan, TO Ajayi African Journal of Biotechnology 18 (27), 670-688 , 2019 2019 Citations: 31
Adsorption of cobalt (II) ions from aqueous solution using cow bone and its derivatives: Kinetics, equilibrium and thermodynamic comparative studies KO Amoo, TE Amoo, OA Olafadehan, EE Alagbe, AJ Adesina, ... Results in Engineering 20, 101635 , 2023 2023 Citations: 25
Equilibrium, kinetic and thermodynamic studies of biosorption of zinc ions from industrial wastewater using derived composite biosorbents from walnut shell OA Olafadehan African Journal of Environmental Science and Technology , 2018 2018 Citations: 23
Modeling of fixed bed adsorption of phenols on granular activated carbon DS Aribike, OA Olafadehan Theoretical Foundations of Chemical Engineering 42 (3), 257-263 , 2008 2008 Citations: 21
Isotherms, kinetic and thermodynamic studies of methylene blue adsorption on chitosan flakes derived from African giant snail shell OA Olafadehan, VE Bello, KO Amoo, AM Bello African Journal of Environmental Science and Technology 16 (1), 37-70 , 2022 2022 Citations: 20
Modeling and simulation of liquid-phase ternary adsorption in activated carbon column OA Olafadehan, AA Susu Industrial & engineering chemistry research 43 (25), 8107-8116 , 2004 2004 Citations: 20
Optimum Conditions for Extraction of Chitin and Chitosan from Callinectes amnicola Shell Waste OA Olafadehan, TO Ajayi, KO Amoo Theoretical Foundations of Chemical Engineering 54 (6), 1173-1194 , 2020 2020 Citations: 19
Mechanistic kinetic models for steam reforming of concentrated crude ethanol on Ni/Al2O3 catalyst OA Olafadehan, AA Ayoola, OO Akintunde, VO Adeniyi Journal of Engineering Science and Technology 10 (5), 633-653 , 2015 2015 Citations: 18
Production and characterization of derived composite biosorbents from animal bone OA Olafadehan, KE Abhulimen, AI Adeleke, CV Njoku, KO Amoo African Journal of Pure and Applied Chemistry 13 (2), 12-26 , 2019 2019 Citations: 17
Modelling and simulation of an industrial RFCCU-riser reactor for catalytic cracking of vacuum residue OA Olafadehan, OP Sunmola, A Jaiyeola, V Efeovbokhan, OG Abatan Applied Petrochemical Research 8 (4), 219-237 , 2018 2018 Citations: 17
Prediction of concentration profiles of contaminants in groundwater polluted by leachates from a landfill site L Salami, OA Olafadehan, G Babagana, AA Susu Int. J. Res. Rev. App. Sci 15 (3), 365-378 , 2013 2013 Citations: 14
Modelling and simulation of methanogenic phase of an anaerobic digester OA Olafadehan, AT Alabi Journal of Engineering Research 13 (2), 1-16 , 2009 2009 Citations: 14
Mechanistic Kinetic Models for n-Heptane Reforming on Platinum/Alumina Catalyst AASAJ O. A. Olafadehan Petroleum Science and Technology 26, 1459–1480 , 2008 2008 Citations: 13
Production and characterization of composite nanoparticles derived from chitosan, CTAB and bentonite clay OA Olafadehan, VE Bello, KO Amoo Chemical Papers 76 (8), 5063-5086 , 2022 2022 Citations: 10