Browsing by Author "Arinkoola, Akeem Olatunde"

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    Development of proxy model for production forecast using adaptive neuro-fuzzy inference system and experimental design
    (Inderscience Enterprises Ltd., 2015) Arinkoola, Akeem Olatunde; Duru, Ugochukwu I.; Onuh, Haruna Monday
    Proxy-models are computationally cheap alternative to full numerical simulation during production performance predictions. They are widely use in reservoir management to forecast production in order to assist investment decisions. However, the underperformance of many E&P projects is due to unrealistic forecast quantities arising from assumptions, human biases and reservoir modelling limitations. Hence, considerable efforts are needed to bridge gaps between forecasts and the actual production. The reservoir under study is developed with six producing wells, all deviated. The internal reservoir heterogeneity believed to have created significant fluid flow anisotropy which trapped the remaining mobile oil in the compartments poorly contacted by the current producing well spacing. Consequently, the proposed reservoir management is Infill drilling. This study utilised simulation model for well selection and its optimal placement within the reservoir. Experimental design technique and adaptive neuro-fuzzy inference system (ANFIS) were integrated to develop predictive model for production forecast given new development option. Comparison of the conventional response surface (RSM) and ANFIS models was made based on their prediction performances. The ANFIS model was found to be superior.
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    Diffusivity and kinetics model for biodegradation of PAHs in a saturated porous matrix
    (Scholarlink Research Institute Journals, 2014) Azeez, Taofik Oladimeji; Arinkoola, Akeem Olatunde; Salam, Kazeem Kolapo; Nwakaudu, Madueke Stanley
    The commercial implementation of biodegradation of polycyclic aromatic hydrocarbons (PAHs) as a bioremediation technique against physical process was due to lack of its effective and efficient diffusivity model with reaction parameters in a saturated porous matrix. The development and simulation of diffusivity model which involve reaction kinetics was aimed to provide quantitative insight on biodegradation of PAHs. The developed model obtained from the principle of conservation of matter, concepts of Fick’s law of diffusion, Malthus equation and Monod kinetics expression under isothermal condition was simulated with experimental data. The result showed that Corynebacterium sp and Pseudomonas putida were effective and PAHs exhibits pseudo first order reaction. Though, the effective diffusivity of PAHs decreases as degradation of PAHs proceeds with increased microbial mass concentration at increased penetration depth. The developed diffusivity model has been shown to be effective and not only providing quantitative insight into biodegradation of the PAHs but serves as an alternative option in the selection of microbes capable of facilitating the restoration of PAHs contaminated sites.
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    Influence of metakaolin and nano-clay on compressive strength and thickening time of class G oil well cement
    (Scholarone manuscript, 2019) Arinkoola, Akeem Olatunde; Salam, Kazeem Kolapo; Alagbe, Solomon Oluyemi; Afolayan, Ayodele Sunday; Salawudeen, Taofeek Olalekan; Jimoh, Monsurat Omolola; Duru, Ilozurike Ugochukwu; Hammed, Jimoh Olugbenga; Adeosun, Tunde Adamson
    In this research, the Compressive Strength (CS) and Thickening Time (TT) of oil well cement with different Metakaolin (MK) dosage was evaluated in the presence of Nanoclay (NC). The variables were randomized in a Box-Behnken Design (BBD) experiment using 5 - 15 wt. % MK by weight of cement and 5-15 wt. % NC by weight of MK. The CS and thickening time were assessed and optimized using Response Surface Methodology (RSM). The result shows that, CS increases linearly with NC and hyperbolically with MK. Cement slurries with 5–15 wt.% NC shorten TT by about 35 minutes in the presence of 5 wt.% MK. TT reduction of 103 minutes was recorded when MK was increased to 15 wt.% in the slurry with 5wt.% NC. At optimum condition, 10.78 wt. % MK and 13.73 wt. % NC resulted in CS and TT of 3029±2.65 psi and 410±1.25 minutes, respectively.