Numerical evaluation of biocide treatment against sulfate reducing bacteria in oilfield water pipelines

Javier Vilcaez, Sanzo Miyazawa, Koichi Suto, Chihiro Inoue

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A simple two-dimensional mathematical model capable of describing the interactions taking place in the bulk fluid and biofilm between sulfate reducing bacteria (SRB), substrates, and biocide agents was used for the numerical evaluation of biocide treatment against SRB. The characteristics inherent to thick biofilms formed in large diameter oilfield pipelines were taken into account by assuming that the biocide treatment will remove little of the biofilm and not kill the SRB present in the biofilm. Simulation results, using reported kinetic parameters for SRB, acetate and biocide agents such as chlorine and glutaraldehyde, showed that biocide treatments in oilfield water pipelines are sensitive to the disinfection rate coefficient and the biocide agent concentration as well as to the decay rate coefficient of the biocide agent in the bulk fluid, but are not sensitive to the biocide deactivation rate on the biofilm surface, nor to the SRB concentration in the biofilm. The effect of SRB concentration in the biofilm was minimal. Various extreme conditions of biocide treatments were simulated using the proposed discretization method, which was adapted to take into account the biofilm interactions with the bulk fluid, to investigate the sensitivity of the numerical method and the suitability of the model developed to determine minimum effective biocide concentrations. Thus, the mathematical model has adequate coherence as well as sensitivity to be used for assessments of biocide treatment.

Original languageEnglish
Pages (from-to)208-217
Number of pages10
JournalJournal of the Japan Petroleum Institute
Volume50
Issue number4
DOIs
Publication statusPublished - 2007

Keywords

  • Biocide effect
  • Biofilm
  • Pipeline
  • Sulfate reducing bacteria

Fingerprint

Dive into the research topics of 'Numerical evaluation of biocide treatment against sulfate reducing bacteria in oilfield water pipelines'. Together they form a unique fingerprint.

Cite this