TY - JOUR
T1 - Development of the early warning model for oil produced water pollution and compliance with the guidelines using dimensional analysis
AU - Monatisa, Lerato
AU - de Kock, Lueta A.
AU - Mamba, Bhekie B.
AU - Nkambule, Thabo T.I.
AU - Izady, Azizallah
AU - Al-Maktoumi, Ali
AU - Msagati, Titus A.M.
N1 - Funding Information:
The authors would like to acknowledge funding received from the University of South Africa and Sultan Qaboos University through the Institute for Nanotechnology and Water Sustainability (iNanoWS), UNISA, and the National Research Foundation-Oman bilateral funds (SA-Oman).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/7/1
Y1 - 2023/7/1
N2 - This paper reports on the development of a model intended to provide an early warning indication of pollution caused by oil produced water and also serve as a predictive tool for compliance/noncompliance to the set guidelines related to the discharge of wastewater into municipals' channels. The development of this model made use of the results obtained for the measurements of the various physico-chemical parameters of the oil-produced water samples collected from the treatment plant at an oil refiner depot. In addition, the development of the model made use of the rate of evaporations patterns observed for the oil-produced water samples stored in a Class A evaporation Pan. The modelling approach was based on experimental data collected at the oil depot, in South Africa for six months and a multiplicative model was developed to relate OPWE as a function of influencing parameters. The developed model indicated a reasonably well accuracy (RMSE = 0.49 mm) for the OPWE estimation. The evaporation and correlation study supported the hypothesis. Furthermore, the model developed by this work has the potential to be used for fingerprinting since OPWE from different processes may have similar chemical compositions but in different levels and ratios.
AB - This paper reports on the development of a model intended to provide an early warning indication of pollution caused by oil produced water and also serve as a predictive tool for compliance/noncompliance to the set guidelines related to the discharge of wastewater into municipals' channels. The development of this model made use of the results obtained for the measurements of the various physico-chemical parameters of the oil-produced water samples collected from the treatment plant at an oil refiner depot. In addition, the development of the model made use of the rate of evaporations patterns observed for the oil-produced water samples stored in a Class A evaporation Pan. The modelling approach was based on experimental data collected at the oil depot, in South Africa for six months and a multiplicative model was developed to relate OPWE as a function of influencing parameters. The developed model indicated a reasonably well accuracy (RMSE = 0.49 mm) for the OPWE estimation. The evaporation and correlation study supported the hypothesis. Furthermore, the model developed by this work has the potential to be used for fingerprinting since OPWE from different processes may have similar chemical compositions but in different levels and ratios.
KW - Model, dimensional analysis
KW - Oil depot
KW - Oil produced water, physico-chemical properties
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UR - https://www.mendeley.com/catalogue/b8790ea9-ce39-3898-9e75-12004c99e499/
U2 - 10.1016/j.jwpe.2023.103870
DO - 10.1016/j.jwpe.2023.103870
M3 - Article
AN - SCOPUS:85161322103
SN - 2214-7144
VL - 53
JO - Journal of Water Process Engineering
JF - Journal of Water Process Engineering
M1 - 103870
ER -