Real-Time Downhole Monitoring Using DAS and DTS: A New Technology for Leak Detection and Well Integrity

A. Cherubini, Simon Richard, C. Jestin, G. Calbris, V. Lanticq
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Abstract

Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS) measurements are technologies which are adding some benefits in the aim to replace or complete traditional logging measurements like noise logging tools (NLT) or production logging tools (PLT). The aim of well integrity interventions using distributed fiber optic sensing (DFOS) is to significantly reduce the duration and the cost of these operations, and to provide additional information in comparison to traditional logging tool. The combination of DAS and DTS can offer both qualitative and quantitative information regarding fluid dynamics in the context of well integrity investigation, as the flow characteristics (intensity of turbulences). In this study, we will investigate different failure patterns occurring on the well completion, as the production tubing or packers. On the first hand, we will see that the combination of DAS and DTS provides complementary information regarding leaks characterization. On the other hand, we will investigate the monitoring of temperature gradient (DTGS for Distributed Temperature Gradient Sensing) using DAS by the integration of low frequency acoustic signal (< 1 Hz).
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利用DAS和DTS进行实时井下监测:泄漏检测和井完整性的新技术
分布式声学传感(DAS)和分布式温度传感(DTS)测量技术正在增加一些优势,旨在取代或完成传统的测井测量,如噪声测井工具(NLT)或生产测井工具(PLT)。使用分布式光纤传感(DFOS)进行井完整性干预的目的是显著缩短作业时间和成本,并提供比传统测井工具更多的信息。DAS和DTS的结合可以在井完整性调查的背景下提供关于流体动力学的定性和定量信息,如流动特性(湍流强度)。在这项研究中,我们将研究完井过程中发生的不同失效模式,如生产油管或封隔器。首先,我们将看到DAS和DTS的组合提供了关于泄漏表征的补充信息。另一方面,我们将研究利用DAS通过低频声信号(< 1 Hz)的集成来监测温度梯度(DTGS for Distributed temperature gradient Sensing)。
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