Numerical modelling of the growth of sulfate-reducing bacteria indigenous to an oilfield in Japan

Yuichi Sugai, Yukihiro Owaki, Kyuro Sasaki, Fuminori Kaneko, Takuma Sakai

Research output: Contribution to journalArticle

Abstract

We performed kinetic studies of the growth of sulfate-reducing bacteria (SRB) indigenous to the water in an oilfield in Japan. The SRB growth was most active in injection water supplemented with ethanol; therefore, the SRB inhabiting the injection water of the reservoir were assumed to grow predominantly by assimilating sulfate and ethanol and generating H2S. Based on this mechanism and the results of incubation experiments in the injection water, we derived numerical models that calculate the growth rate and H2S generation of the SRB under three variables (temperature, sulfate concentration, and ethanol concentration).

Original languageEnglish
Pages (from-to)1597-1604
Number of pages8
JournalPetroleum Science and Technology
Volume36
Issue number19
DOIs
Publication statusPublished - Oct 2 2018

Fingerprint

sulfate-reducing bacterium
Sulfates
Bacteria
ethanol
Water injection
modeling
Ethanol
sulfate
water
incubation
kinetics
Numerical models
Kinetics
Water
experiment
temperature
Experiments

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Fuel Technology
  • Geotechnical Engineering and Engineering Geology
  • Energy Engineering and Power Technology

Cite this

Numerical modelling of the growth of sulfate-reducing bacteria indigenous to an oilfield in Japan. / Sugai, Yuichi; Owaki, Yukihiro; Sasaki, Kyuro; Kaneko, Fuminori; Sakai, Takuma.

In: Petroleum Science and Technology, Vol. 36, No. 19, 02.10.2018, p. 1597-1604.

Research output: Contribution to journalArticle

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