PDF
Full
Outline
An oilfield has entered the stage of high water-cut development, and the conventional water flooding effect is declining. It is urgent to develop microbial enhanced oil recovery (MEOR) technology to tap the remaining oil. Objective To analyze the indigenous bacterial community characteristics of different oil reservoirs and identify the indigenous oil-displacing bacteria, thus providing a scientific basis for the activation-type MEOR involving indigenous bacteria. Methods Produced fluid samples were collected from three high water-cut reservoirs (K1h2, J2x, and J2t). The 16S rRNA gene high-throughput sequencing combined with alpha diversity analysis, beta diversity analysis, linear discriminant analysis effect size (LEfSe)-based differential species identification, and canonical correlation analysis (CCA) of environmental factor correlations was employed to systematically reveal the bacterial community structure and analyze its driving mechanism. Additionally, the oil-displacement potential of the indigenous strain was assessed by core flooding test. Results A total of 174 OTUs were shared among the three groups, while the community composition was significantly different. Temperature, salinity, and water content were the main environmental influencing factors. The K1h2 group demonstrated prominent diversity, mainly consisting of bacteria with the potential to produce biosurfactants, such as Pseudomonas and unclassified_f_Rhodobacteraceae. The J2x group enriched salt-tolerant hydrocarbon-degrading Marinobacter and significantly enriched sulfate-reducing groups. The J2t group was dominated by thermophilic hydrocarbon-degrading bacteria such as Tepidiphilus and Burkholderiales. Core flooding test indicated that P. aeruginosa LD8 isolated from the K1h2 reservoir increased the oil recovery by 9.61% in the simulated reservoir environment. Conclusion The differences in physicochemical and microbial environments among different reservoirs emphasize the necessity of developing particular MEOR strategies. This study provides a research basis for the targeted activation of dominant oil-displacing bacteria, the avoidance of corrosion risks, and the optimization of on-site implementation plans.
PDF
23
8
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
