Long-Term Microbial DNA-Based Monitoring of the Mature Sarukawa Oil Field in Japan

IF 2.1 4区 工程技术 Q3 ENERGY & FUELS
H. Kobayashi, A. Goto, X. Feng, K. Uruma, Y. Momoi, S. Watanabe, K. Sato, Y. Zhang, R. Horne, T. Shibuya, Y. Okano
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引用次数: 0

Abstract

Microbial DNA-based monitoring is a promising tool for reservoir monitoring that has been used mainly for shale reservoir development. In this study, long-term microbial DNA-based monitoring was applied to the Sarukawa oil field, which has a complex reservoir structure with no practical simulation model available. Fluid samples were collected periodically from nine production wells and two injection wells from October 2019 to July 2021. DNA was extracted from the samples, and the microbial composition was analyzed by 16S ribosomal ribonucleic acid (rRNA) gene amplicon sequencing and real-time polymerase chain reaction (PCR). Based on similarities between the microbial profiles, the samples were classified into seven clusters that corresponded closely to the original fluid type (i.e., injection or production fluid) and specific environment (e.g., geological strata or compartments). A comparative analysis of the microbial profiles suggested possible well connectivity and water breakthrough. These results demonstrate that microbial DNA-based monitoring can provide useful information for optimizing production processes (e.g., waterflooding) in mature oil fields.
日本Sarukawa成熟油田微生物dna长期监测
基于微生物dna的监测是一种很有前途的储层监测工具,主要用于页岩储层开发。本研究将基于微生物dna的长期监测应用于Sarukawa油田,该油田储层结构复杂,没有实用的模拟模型。从2019年10月至2021年7月,定期从9口生产井和2口注水井中采集流体样本。提取样品DNA,采用16S核糖体核糖核酸(rRNA)基因扩增子测序和实时聚合酶链反应(PCR)分析微生物组成。根据微生物剖面之间的相似性,将样品分为7个簇,这些簇与原始流体类型(即注入流体或生产流体)和特定环境(如地质地层或隔室)密切相关。通过对微生物剖面的对比分析,发现了可能的连通性和水突破。这些结果表明,基于微生物dna的监测可以为成熟油田优化生产工艺(例如注水)提供有用的信息。
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
68
审稿时长
12 months
期刊介绍: Covers the application of a wide range of topics, including reservoir characterization, geology and geophysics, core analysis, well logging, well testing, reservoir management, enhanced oil recovery, fluid mechanics, performance prediction, reservoir simulation, digital energy, uncertainty/risk assessment, information management, resource and reserve evaluation, portfolio/asset management, project valuation, and petroleum economics.
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