不同水力停留时间对新疆油田压裂返排液COD去除及微生物菌群特征研究
The research of COD removal and microbiological community characteristics of Xinjiang oilfield fracturing flowback fluid with different hydraulic retention times
谢鲲鹏 1于思慧 1罗红静 1张永胜 1马畅蔚 1胡浩宇 1宫正1
作者信息
- 1. 辽宁师范大学生命科学学院,辽宁大连 116081
- 折叠
摘要
针对新疆油田压裂返排液较难处理的现状,采用生物膜法作为处理工艺的主要单元,探究不同水力停留时间(HRT)对化学需氧量(COD)去除的影响,通过高通量测序和功能预测确定不同水力停留时间下的微生物群落特征.结果表明:水力停留时间48 h是生物膜法处理新疆油田压裂返排液的适宜水力停留时间,COD去除效率最高,进水COD平均去除率46.77％,平均去除速率83.33 mg·(L·d)-1.相对于水力停留时间36、72 h,水力停留时间48 h的微生物多样性更高,群落组成更丰富,且形成以Pro-teobacteria(变形菌门)、Firmicutes(厚壁菌门)、Campylobacterota(弯曲菌门)、Bacteroi-dota(拟杆菌门)和Desulfobacterota(脱硫菌门)为主要优势菌的微生物群落.微生物菌群具有难降解物质代谢的功能基因,可促进新疆油田压裂返排液的生物降解.
Abstract
In allusion to the current situation of Xinjiang oilfield fracturing flowback fluid,which is difficult to treat,the biofilm method was adopted as the main unit of the treatment process to inves-tigate the influence of different hydraulic retention times(HRT)on chemical oxygen demand(COD)removal.The microbiological community characteristics were determined by high-throughput sequen-cing and functional prediction under different hydraulic retention times.The results showed that the suitable HRT was 48 h when biofilm method was used to treat the fracturing return fluid in the Xin-jiang oilfield.The COD removal efficiency was the highest,the average removal rate of the influent COD was 46.77％and the average removal velocity was 83.33 mg·(L·d)-1.Compared with the HRT of 36 h and 72 h,the microbial diversity of the HRT of 48 h was higher and the community composition was richer.The microbiological community was formed with Proteobacteria,Firmicutes,Campylobacterota,Bacteroidota,and Desulfobacterota as the main dominant bacteria under the HRT of 48 h.The microflora had functional genes for the metabolism of difficult-to-biode-grade substances and promote the biodegradation of fracturing flowback fluid in Xinjiang oilfield.
关键词
水力停留时间/压裂返排液/COD去除/微生物群落Key words
hydraulic retention time/fracturing flowback fluid/COD removal/microbiological commu-nity引用本文复制引用
出版年
2024
NETL
NSTL
万方数据