硫酸盐还原菌
细菌
海洋噬菌体
腐蚀
油田
环境科学
石油工程
生物
冶金
地质学
材料科学
遗传学
作者
Jian Wang,Xinyi Zhang,Min Du,Xueyan Shan,Zhiyu Tian
出处
期刊:Anti-corrosion Methods and Materials
[Emerald (MCB UP)]
日期:2024-06-11
卷期号:71 (5): 439-449
标识
DOI:10.1108/acmm-12-2023-2941
摘要
Purpose The purpose of this study is to provide ideas and theoretical guidance for green, environmentally friendly and efficient “bacteriostasis with bacteria” technology. Design/methodology/approach In this paper, a beneficial strain of bacteria was extracted and purified from marine mud. Weight-loss test, morphological observation and electrochemical test were used to systematically study the effect of sulfate-reducing bacteria (SRB)-induced corrosion inhibition on X65 steel in simulated offshore oil field production water. Findings The results showed that a beneficial strain was selected and identified as Vibrio alginolyticus . Under the condition of co-culture of SRB, the average corrosion rate of X65 steel was significantly reduced. In the mixed bacterial system, the surface of X65 steel samples was relatively flat, and the structure of biofilm and corrosion product film was dense. The number of corrosion pits, the average diameter and depth of corrosion pits were significantly reduced. The localized corrosion of X65 steel was significantly inhibited. Originality/value The complex and changing marine environment makes the corrosion problem of marine steel increasingly severe, and the microbiologically influenced corrosion (MIC) caused by SRB is particularly serious. The research and development of environmentally friendly corrosion protection technology is a long-term and difficult problem. The use of beneficial microorganisms to control MIC is a green and efficient anticorrosion measure. Compared with terrestrial microorganisms, marine microorganisms can adapt to complex environments, and their metabolites exhibit special biological activities. The use of marine beneficial bacteria can inhibit SRB activity to achieve the corrosion inhibition effect.
科研通智能强力驱动
Strongly Powered by AbleSci AI