Journal of Water Resource and Protection

Volume 14, Issue 9 (September 2022)

ISSN Print: 1945-3094   ISSN Online: 1945-3108

Google-based Impact Factor: 1.65  Citations  

Sludge Pollution Control from Crude Oil Tank Cleaning

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DOI: 10.4236/jwarp.2022.149033    287 Downloads   1,904 Views  Citations

ABSTRACT

This study investigated the use of microbial analysis as a bioremediation option for remediating petroleum sludge, which is part of the waste stream generated in the petroleum industry. The aim is to reduce environmental burden caused by the discharge of untreated sludge. Sludge sample was cultured in other to isolate microorganisms for the sludge treatment. The selected strain of the organisms after screening were Aspergillus flavus, Aspergillus niger, Verticillus sp, Penicillum sp, and Microsporium audouinii. Bioreactors (labeled A, B, C, D and O) were designed for the treatment of petroleum sludge. These reactors contain 2.0 × 10-2 m3 of the diluted sludge samples and the isolated organisms for the treatment process. On a weekly basis, the control reactors received 1.5 × 10-3 m3 of fresh and saline water respectively. After 12 weeks of treatment, sludge physicochemical characteristics showed distinct variations. From the result, reactor D was the best in terms of remediating the sludge as compared to other reactors. Friedman non-parametric test was performed to check if the weeks of treatment affected the reduction of the total hydrocarbon content (THC) in the five reactors and also checked for significant differences in the THC after treatments. The drop in the THC of the treated sludge ranged from 56.0% to 67.3%. These results showed the possibility of enhanced biodegradation of petroleum sludge by hydrocarbon utilizing microorganisms (fungi).

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Adigwe, C. , Nwaogazie, I. , Ugwoha, E. , David, A. and Elemuo, N. (2022) Sludge Pollution Control from Crude Oil Tank Cleaning. Journal of Water Resource and Protection, 14, 632-649. doi: 10.4236/jwarp.2022.149033.

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[1] Petroleum sludge formation and its treatment methodologies: a review
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