TY - JOUR
T1 - Risk-based Stochastic Optimization of Evaporation Ponds as a Cost-Effective and Environmentally-Friendly Solution for the Disposal of Oil-Produced Water
AU - Izady, Azizallah
AU - Nikoo, Mohammad Reza
AU - Bakhtiari, Parnian Hashempour
AU - Baawain, Mahad Said
AU - Al-Mamari, Hilal
AU - Msagati, Titus AM
AU - Nkambule, Thabo TI
AU - Al-Maktoumi, Ali
AU - Chen, Mingjie
AU - Prigent, Stephane
N1 - Funding Information:
The authors acknowledge the Sultan Qaboos University for the financial support under South Africa - Oman Science and Technology Research Collaboration grant number CL/SQU-SA/18/08 and the South African National Research Foundation which provided funds for the Oman-South Africa bilateral cooperation. The authors also extend appreciation to the research Group DR/RG/17. We also would like to thank Mr. Fouzul Marikar from Environmental Engineering Laboratory, Sultan Qaboos University for his help to analyze the OPW samples and on-site technicians for their help to collect samples and daily Class A Evaporation Pan data.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020
Y1 - 2020
N2 - Evaporation ponds are a known cost-effective option which are also environmentally-friendly enough to be considered a viable solution for disposal of oil-produced water (OPW), especially in areas with high evaporation rates. However, there is no study to particularly relate OPW physico-chemical properties and climatic variables to optimum dimensions of evaporation ponds. This study therefore, presents a multi-objective-stochastic optimization framework, as a first attempt, to determine optimum dimensions of evaporation ponds considering simultaneous effects of climatic variables and OPW physico-chemical parameters on OPW evaporation (OPWE) rates. Daily-based experimental-data were collected from oilfield located at South-Eastern Arabian-Peninsula for a period of one-year. A model was derived using dimensional-analysis to estimate OPWE as a function of OPW physico-chemical properties, clear-water evaporation, and climatic variables. Fifty-stochastic evaporation scenarios were examined to include uncertainties associated with climatic and OPW parameters. Conditional-Value-at-Risk was utilized to reduce the risk of OPW overflow from evaporation ponds. A multi-objective NSGA-II model was developed to simultaneously maximize average volume of OPWE, minimize evaporation pond dimensions and also the risk of OPW overflow. Results show that the derived OPWE model performed exceptionally well in OPWE estimation by involving key parameters influencing the OPWE. Moreover, it was found that developed framework increased the magnitude of OPWE up to 20%. While inaccurate evaporation estimation can seriously increase probability of failure of evaporation ponds, the proposed framework was found to be efficient to determine the optimum dimensions of evaporation ponds for disposal of not only the OPW, but also other industrial and mining wastewater.
AB - Evaporation ponds are a known cost-effective option which are also environmentally-friendly enough to be considered a viable solution for disposal of oil-produced water (OPW), especially in areas with high evaporation rates. However, there is no study to particularly relate OPW physico-chemical properties and climatic variables to optimum dimensions of evaporation ponds. This study therefore, presents a multi-objective-stochastic optimization framework, as a first attempt, to determine optimum dimensions of evaporation ponds considering simultaneous effects of climatic variables and OPW physico-chemical parameters on OPW evaporation (OPWE) rates. Daily-based experimental-data were collected from oilfield located at South-Eastern Arabian-Peninsula for a period of one-year. A model was derived using dimensional-analysis to estimate OPWE as a function of OPW physico-chemical properties, clear-water evaporation, and climatic variables. Fifty-stochastic evaporation scenarios were examined to include uncertainties associated with climatic and OPW parameters. Conditional-Value-at-Risk was utilized to reduce the risk of OPW overflow from evaporation ponds. A multi-objective NSGA-II model was developed to simultaneously maximize average volume of OPWE, minimize evaporation pond dimensions and also the risk of OPW overflow. Results show that the derived OPWE model performed exceptionally well in OPWE estimation by involving key parameters influencing the OPWE. Moreover, it was found that developed framework increased the magnitude of OPWE up to 20%. While inaccurate evaporation estimation can seriously increase probability of failure of evaporation ponds, the proposed framework was found to be efficient to determine the optimum dimensions of evaporation ponds for disposal of not only the OPW, but also other industrial and mining wastewater.
KW - Conditional Value at Risk (CVaR)
KW - Dimensional analysis
KW - Evaporation pond
KW - Multi-Objective optimization
KW - Oil-produced water (OPW)
KW - Oil-produced water evaporation (OPWE)
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U2 - 10.1016/j.jwpe.2020.101607
DO - 10.1016/j.jwpe.2020.101607
M3 - Article
SN - 2214-7144
VL - 38
SP - 101607
JO - Journal of Water Process Engineering
JF - Journal of Water Process Engineering
M1 - 101607
ER -