Passive seismic monitoring of injection-production process in oilfield using reverse time imaging

IF 17.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-06-04 DOI:10.1093/jge/gxae060
Runbi Yuan, Zhihui Zou, Song Xu, Wenhuan Kuang
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Abstract

Monitoring underground fluid migration caused by injection/production processes is crucial for guiding petroleum exploitation in mature oilfields and ultimately enhancing petroleum production. In this paper, we propose a time-lapse reverse time imaging (RTI) to dynamically monitor the injection/production processes within oilfield. By utilizing RTI to track microseimicities at different time periods, we can analyze the relationship between injection/production activities and the spatiotemporal changes in microseismic distribution. The inferred relationship enables the time-lapse RTI to infer fluid migration patterns within oil reservoirs. To assess the accuracy and spatiotemporal resolution of the time-lapse RTI, we conducted numerical experiments to evaluate the imaging quality under different microseismic distribution scenarios. In addition, we assessed the method's stability under low signal-to-noise ratio conditions. Numerical results indicate that the time-lapse RTI can effectively distinguish the spatiotemporal variations of seismic swarms at depths of 0.5 kilometers within the target layer, even in the presence of strong noise. Practical applications show a significant correlation between changes in swarm distribution surrounding reservoirs and fluctuations in oil production. Utilizing time-lapse RTI enables real-time monitoring of oilfield injection/production processes, thereby offering valuable insights for optimizing oilfield development and fostering future increases in petroleum production.
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利用反向时间成像对油田注采过程进行被动地震监测
监测注采过程引起的地下流体迁移对于指导成熟油田的石油开采以及最终提高石油产量至关重要。本文提出了一种延时反向时间成像(RTI)技术,用于动态监测油田内的注采过程。通过利用 RTI 跟踪不同时间段的微地震,我们可以分析注采活动与微地震分布时空变化之间的关系。推断出的关系使延时 RTI 能够推断油藏内的流体迁移模式。为了评估延时 RTI 的精度和时空分辨率,我们进行了数值实验,以评估不同微地震分布情况下的成像质量。此外,我们还评估了该方法在低信噪比条件下的稳定性。数值结果表明,延时 RTI 能够有效区分目标层内 0.5 千米深处的地震群的时空变化,即使在存在强噪声的情况下也是如此。实际应用表明,油藏周围震群分布的变化与石油产量的波动之间存在显著的相关性。利用延时 RTI 可以实时监测油田注入/生产过程,从而为优化油田开发和促进未来石油增产提供有价值的见解。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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