Modeling Environmental Impact Factor of Harmful Chemical Compounds in Polluted Water Discharge in Offshore Installations

The development of a novel model to study the fate and environmental impact factor (EIF) of harmful chemical compounds in polluted water discharges from an offshore installation in Nigeria's marine environment was carried out in this study. The developed numerical fate model incorporates the environmental impact factor, , derived stochastically on a specific fuzzy logic-based framework, and the boundary value problem of the resulting fate and EIF model was solved via finite element method in MATLAB environment and the Dose-related Risk and Effects Assessment Model (DREAM) software using prevailing field and meteorological conditions of the marine environment. The fate concentrations of oil dispersants, harmful heavy metals (such as copper and mercury), and aromatic compounds (such as naphthalene, benzene-toluene-ethylbenzene-xylene (BTEX)) simulated at polluted water discharge rates of 3,000, 5,000, 25,000 and 75,000 barrels/day (bpd)) and average temperature of 27oC were used to compute EIFs of harmful chemical compounds in the marine environment. The results showed the produced water (PW) discharged volume and the corresponding EIF. For produced water discharge rates of 3,000, 5,000, 25,000 and 75,000 bpd, the simulated EIFs are 0, 5.6135, 5.3072 and 3.7150respectively, which is indicative of environmental risk far greater than the commonly accepted 5% risk margin in the water column in the cases of 5,000, 25,000 and 75,000 bpd. Higher risk impact derived from higher discharge rates may be effectively handled by water dilution and transport.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.33736/jaspe.9073.2025
Primary Topic
Diatoms and Algae Research
Type
article
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article

Modeling Environmental Impact Factor of Harmful Chemical Compounds in Polluted Water Discharge in Offshore Installations

SHILAP Revista de lepidopterología
Diatoms and Algae Research
article

Modeling Environmental Impact Factor of Harmful Chemical Compounds in Polluted Water Discharge in Offshore Installations

article en

Abstract

The development of a novel model to study the fate and environmental impact factor (EIF) of harmful chemical compounds in polluted water discharges from an offshore installation in Nigeria's marine environment was carried out in this study. The developed numerical fate model incorporates the environmental impact factor, , derived stochastically on a specific fuzzy logic-based framework, and the boundary value problem of the resulting fate and EIF model was solved via finite element method in MATLAB environment and the Dose-related Risk and Effects Assessment Model (DREAM) software using prevailing field and meteorological conditions of the marine environment. The fate concentrations of oil dispersants, harmful heavy metals (such as copper and mercury), and aromatic compounds (such as naphthalene, benzene-toluene-ethylbenzene-xylene (BTEX)) simulated at polluted water discharge rates of 3,000, 5,000, 25,000 and 75,000 barrels/day (bpd)) and average temperature of 27oC were used to compute EIFs of harmful chemical compounds in the marine environment. The results showed the produced water (PW) discharged volume and the corresponding EIF. For produced water discharge rates of 3,000, 5,000, 25,000 and 75,000 bpd, the simulated EIFs are 0, 5.6135, 5.3072 and 3.7150respectively, which is indicative of environmental risk far greater than the commonly accepted 5% risk margin in the water column in the cases of 5,000, 25,000 and 75,000 bpd. Higher risk impact derived from higher discharge rates may be effectively handled by water dilution and transport.

SHILAP Revista de lepidopterología
University of Denver (US), University of Lagos (NG)
Life below water
Openalex Percentile: Top 64%
Diatoms and Algae Research
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Modeling Environmental Impact Factor of Harmful Chemical Compounds in Polluted Water Discharge in Offshore Installations · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS