紫外线辐射控制油井注水井水中细菌

Jhorman Alexis Niño Gomez, Ronald Jaimes Prada, Victor Julio Echeverria Restrepo, Julia Raquel Acero Reyes, Alexandra Milena Gonzalez Rodriguez, M. Cardeñosa Mendoza, R. G. Torres Saez
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引用次数: 0

摘要

生物腐蚀是一种严重影响石油和天然气工业中所用材料完整性的现象。目前,不同类型的杀菌剂用于控制工业用水中的细菌;然而,它们也有缺点,比如微生物对这些化合物产生耐药性,以及由于最终污染天然水而可能对生物多样性产生影响。消除或控制细菌有几种替代方法,其中一种是使用C型紫外线(UV-C)辐射。然而,这些微生物去除系统的使用可能会受到水质的影响,并且可以通过使用低能耗的LED二极管和更广泛的高温暴露来提高其效率。这项工作的目的是评估使用这种辐射作为控制和/或消除硫酸盐还原细菌(SRB)和产酸细菌(APB)存在于腐蚀和酸化过程的策略。为此,使用了来自石油和天然气行业的注入水和一个动态系统,该系统的流量变化可以评估不同的水暴露在UV-C光下的时间(1-20分钟)。通过两种不同的技术,对这些微生物群体进行选择性培养基,以及从SRB群体中检测特定基因的qPCR,从采出水中去除SRB和APB的效率在99-100%之间。
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Ultraviolet Radiation to control Bacteria in oil well injection water
Biocorrosion is a phenomenon that strongly affects the integrity of the materials used in the oil and gas industry. Different types of biocides are currently used to control bacteria in industrial water; however, they have disadvantages such as microbial resistance to these chemical compounds and possible impact on biodiversity due to eventual contamination of natural water. There are several alternatives for the elimination or control of bacteria, among which one is the use of type C ultraviolet (UV-C) radiation. Nevertheless, the use of these micro-organism removal systems could be affected by water quality and its efficiency can be improved by using LED diodes of lower energy consumption and greater versatility in exposure to high temperatures. This work was aimed to evaluate the use of such radiation as a strategy for the control and/or elimination of sulfate reducing bacteria (SRB), and acid producing bacteria (APB) present in both corrosion and souring processes.  For this purpose, injection water from oil and gas industry and a dynamic system which flow variation enabled the evaluation of different water exposure times to UV-C light (1-20 minutes) were used. Efficiencies ranging between 99-100% were achieved in the elimination of SRB and APB from produced water measured by two different techniques, selective culture media for these microbial populations, and qPCR detecting a specific gene from the SRB population.
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