Reservoir souring, which is the production of H
2
S mainly by sulfate-reducing microorganisms (SRM) in oil reservoirs, has been a long-standing issue for the oil industry. While biocides have been frequently applied to control biogenic souring, the effects of biocide treatment are usually temporary, and biocides eventually fail. The reasons behind biocide failure and the long-term response of the microbial community remain poorly understood. In this study, one time biocide treatments with glutaraldehyde (GA) and an aldehyde-releasing biocide (ARB) at low (100 ppm) and high (750 ppm) dosages were individually applied to a complex sulfate-reducing microbial community, followed by one-year monitoring of the chemical responses and the microbial community succession. The chemical results showed that souring control failed after 7 days at 100 ppm dosage regardless the biocide type, and that lasting souring control for the entire one-year timespan was only achieved with ARB at 750 ppm. Microbial community analyses suggested that the high dosage biocide treatments resulted in one order of magnitude lower average total microbial abundance and average SRM abundance compared to the low dosage treatments. The recurrence of souring was associated with reduction of alpha diversity and with long-term microbial community structure change, thus monitoring changes in microbial community metrics may serve as early warnings of the failure of a biocide-based souring control programme in the field. Furthermore, spore-forming sulfate reducers (
Desulfotomaculum
and
Desulfurispora
) were enriched and became dominant in both GA-treated groups, which could cause challenges to the design of long-lasting remedial souring control strategies.
IMPORTANCE
Reservoir souring is a detrimental problem for the oil and gas industry as H
2
S corrodes the steel infrastructure, downgrades the oil quality and poses substantial risks to the field personnel and the environment. Biocides have been widely applied to remedy souring, yet the long-term performance of biocide treatments is hard to predict or optimise due to limited understanding of the microbial ecology affected by biocide treatment. This study investigates the long-term biocide performance and associated changes in the abundance, diversity and structure of the souring microbial community, thus advancing the knowledge towards a deeper understanding of the microbial ecology of biocide-treated systems, and contributing to the improvement of current biocide-based souring control practices. The study showcases the potential application of incorporating microbial community analyses to forecast souring and highlights the long-term consequences of the biocide treatment on the microbial communities, with relevance to both operators and regulators.