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In this paper, nonlinear system identification of the activated sludge process in an industrial wastewater treatment plant was completed using adaptive neuro-fuzzy inference system (ANFIS) and generalized linear model (GLM) regression. Predictive models of the effluent chemical and 5-day biochemical oxygen demands were developed from measured past inputs and outputs. From a set of candidates, least absolute shrinkage and selection operator (LASSO), and a fuzzy brute-force search were utilized in selecting the best combination of regressors for the GLMs and ANFIS models respectively. Root mean square error (RMSE) and Pearson's correlation coefficient (R-value) served as metrics in assessing the predicting performance of the models. Contrasted with the GLM predictions, the obtained modeling results show that the ANFIS models provide better predictions of the studied effluent variables. The results of the empirical search for the dominant regressors indicate the models have an enormous potential in the estimation of the time lag before a desired effluent quality can be realized, and preempting process disturbances. Hence, the models can be used in developing a software tool that will facilitate the effective management of the treatment operation.

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Exploitation of Nigerian bentonitic clay deposit will offer economic advantage in terms of utilization for drilling purpose and prevent money spent on importation. Clay used for this analysis was beneficiated using sodium Carbonate (Na2CO3) and the change in the elemental composition of the raw clay sample and treated clay with was estimated using X-ray fluorescence spectroscopy (XRF). The treated clay and locally sourced bio-materials were added to the formulation of drilling fluid using Reduced Central Composite Design (RCCD). The fluid loss and cake thickness of prepared drilling fluid were determined using filter loss test kit. The result of the investigation show that the maximum recorded fluid loss was 14.4 ml/30mins at 100 psi while cake thickness values improved with addition of the bio-materials to the drilling fluid formulation when compared with the standard values.

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