Environmental risk assessment of offshore produced water discharges using a hybrid fuzzy-stochastic modeling approach

Zhi Chen, Lin Zhao, Kenneth Lee

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

In recent years, regulators and environmental groups have identified the large volumes of wastewater discharged through offshore petroleum production activities as an issue of concern. In this paper, fuzzy set theory coupled with Monte Carlo analysis have provided a stochastic simulation of pollutant dispersion for the prediction of the environmental risks associated with produced water discharges. With the application of the fuzzy set to data drawn from previous risk-assessment studies, the model allowed the evaluation of various existing pollution standards for marine environments. The present modeling method was validated against data for lead (Pb) levels in the area adjacent to an offshore petroleum facility located on the Grand Banks of Newfoundland, Canada through a multi-year field expedition. The proposed risk-assessment approach contributes to the implementation of effective assessment and management of produced water discharges in the offshore water environment.

Original languageEnglish (US)
Pages (from-to)782-792
Number of pages11
JournalEnvironmental Modelling and Software
Volume25
Issue number6
DOIs
StatePublished - Jun 2010

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling

Keywords

  • Fuzzy set
  • Monte Carlo
  • Produced water
  • Risk assessment
  • Simulation

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