Annuli Liquid-Level Surveillance Using Distributed Fiber-Optic Sensing Data

IF 3.2 3区 工程技术 Q1 ENGINEERING, PETROLEUM
SPE Journal Pub Date : 2023-10-01 DOI:10.2118/217989-pa
Kjetil E. Haavik
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引用次数: 0

Abstract

Summary Annular pressure buildup due to fluid expansion can be mitigated by using a compressible fluid, typically nitrogen, as a cushion at the top of an annuli. The advantage of using a nitrogen cushion is that we do not have to manipulate annuli pressures as often during variations in production. A disadvantage is that it is more difficult to detect small leaks to or from an annulus. For gas lift-assisted production wells, Annulus A is used for the transportation of gas down to the gas lift valves (GLVs), effectively making up a large gas cushion compared with the full length for the annulus. In light of this, monitoring annular pressures and ensuring continuous control of fluid volumes are essential for effective well barrier management. We present relevant theory and show that we can track annuli liquid levels using distributed temperature sensing (DTS) and/or distributed acoustic sensing (DAS) data to detect leaks, estimate leak rates, and infer leak paths. We find that the main cause for observing liquid levels in these data is because the equilibrium temperature at the fiber is dependent on the fluid fill of the various annuli in addition to the temperature inside the tubing and outside of the well. Six data examples with variations in liquid level(s) are presented to demonstrate this. Furthermore, simple models for estimating changes in liquid levels are proposed and compared with liquid levels from distributed fiber-optic (FO) data. Being able to detect leaks to or from annuli makes it possible for the operator to apply mitigating action in a timely manner, prevent unwanted well integrity situations, and ensure production regularity.
基于分布式光纤传感数据的环空液位监测
由于流体膨胀引起的环空压力累积可以通过在环空顶部使用可压缩流体(通常是氮气)作为缓冲来缓解。使用氮气缓冲垫的优点是,在生产过程中,我们不需要经常操纵环空压力。缺点是很难检测到环空的小泄漏。对于气举辅助生产井,环空A用于将气体输送到气举阀(glv),与环空的全长相比,它有效地形成了一个更大的气垫。鉴于此,监测环空压力并确保连续控制流体体积对于有效的井眼屏障管理至关重要。我们提出了相关理论,并表明我们可以使用分布式温度传感(DTS)和/或分布式声学传感(DAS)数据来跟踪环空液位,以检测泄漏,估计泄漏率并推断泄漏路径。我们发现,在这些数据中观察液位的主要原因是,除了油管内和井外的温度外,纤维处的平衡温度还取决于各种环空的流体填充。给出了六个具有液位变化的数据示例来证明这一点。此外,提出了估算液位变化的简单模型,并与分布式光纤(FO)数据的液位进行了比较。能够检测到环空的泄漏,使作业者能够及时采取缓解措施,防止不必要的井完整性情况,并确保生产正常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SPE Journal
SPE Journal 工程技术-工程:石油
CiteScore
7.20
自引率
11.10%
发文量
229
审稿时长
4.5 months
期刊介绍: Covers theories and emerging concepts spanning all aspects of engineering for oil and gas exploration and production, including reservoir characterization, multiphase flow, drilling dynamics, well architecture, gas well deliverability, numerical simulation, enhanced oil recovery, CO2 sequestration, and benchmarking and performance indicators.
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