Modelling the Effect of Decomposed Raffia Palm Trunk on the Bioremediation of Oil based Drill Cuttings

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2024 by IJRES Journal
Volume-11 Issue-5
Year of Publication : 2024
Authors : Bright Nweke, Reuben N. Okparanma, Josiah. M. Ayotamuno
DOI : 10.14445/23497157/IJRES-V11I5P111

How to Cite?

Bright Nweke, Reuben N. Okparanma, Josiah. M. Ayotamuno, "Modelling the Effect of Decomposed Raffia Palm Trunk on the Bioremediation of Oil based Drill Cuttings," International Journal of Recent Engineering Science, vol. 11, no. 5, pp. 109-116, 2024. Crossref, https://doi.org/10.14445/23497157/IJRES-V11I5P111

Abstract
This study determines the modelling effect of Decomposed Raffia Palm for degradation of oil-based drill cuttings bioremediation. The experiment was conducted at the Rivers Institute of Agricultural Research and Training (RIART) at Rivers State University, Port Harcourt. Samples of oil-based drill cuttings were bulk in eleven reactors with four replications (T1, T2, T3-T11). The physicochemical properties of the initial drill cuttings were analyzed. Also, the physiochemical properties of the oil-based drill cuttings of Decomposed Raffia Palm are as follows: Total Petroleum Hydrocarbon, Benzene Toluene Ethylene Xylene and Polycyclic Aromatic Hydrocarbon were analyzed in the laboratory before and after treatments. Total Petroleum Hydrocarbon, Benzene Toluene Ethylene Xylene and Petroleum Aromatic Hydrocarbon reduction were drastically reduced in all treatment options at the end of 16 weeks of remediation. Results also displayed a high coefficient of determination of (R2) of 0.9593, 0.87890.and 9902in all the treatment options. The formulated models were for Total Petroleum Hydrocarbon (TPH), Benzene Toluene Ethylbenzene Xylene (BTEX) and Polycyclic Aromatic Hydrocarbon (PAH). The results of the experimental tests were plotted against the period to obtain the constant (β) in the predicted models. The models showed good agreement between experimental data and the predicted data. The model used was simple nonlinear regression, and it was validated by graphical comparison, as well as with Root Mean Square Error (RMSE) and Residual Prediction of Deviation (RPD). Results displayed a high coefficient of determination R2, low Root Mean Square Error (RMSE) and excellent Residue Prediction of Deviation (RPD). However, it recommended that the model (simple nonlinear regression) be used for predicting the degradation rate of Total Petroleum Hydrocarbon (TPH), Polycyclic Aromatic Hydrocarbon (PAH) and Benzene Toluene Ethylbenzene Xylene (BTEX) in oil-based drill cuttings contamination treated with decomposed respectively.

Keywords
Bioremediation, Biodegradation, Oil-Based Drill Cuttings and Decomposed Raffia Palm.

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