Well Integrity Diagnostics Using Acoustic Event Classification on Distributed Acoustic Sensing Data

L. Noble, Hugh Rees, P. Thiruvenkatanathan, Tommy Langnes
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Abstract

Injection wells experience extremes of pressure and temperature as well as expansion and contraction during their normal operating cycles. This can cause numerous well integrity issues related to corrosion, leakage, degradation of barrier elements, operational practices that all put the health of the well at risk and require appropriate management. This paper will describe a case of a North Sea injection well that over time had developed sustained casing pressure (SCP) in the B-annulus. As a critical well in the development it was necessary to understand the origin and nature of the SCP as this would set further operational plans for the well helping to decide whether the well could continue to be operated safely, would require an intervention, or potentially will be abandoned. A leak investigation was needed to try to determine the source of the pressure, the type of fluid causing the pressure, the fluid path, and whether there was an injection out-of-zone as a result. To address all of the set objectives Distributed Fibre Optic (DFO) system was selected as a technology of choice. DFO provides an advantage over traditional leak detection methods through the ability to simultaneously monitor entire length of the well recording both acoustic and temperature profiles. Distributed Acoustic Sensing (DAS) was used to record acoustic signature of the well helping to determine the leak origin and likely pathway, while Distributed Temperature Sensing (DTS) was used to record well outflow profile and advise on possibility of out-of-zone injection. Use of pattern recognition techniques allowed to extract leak signature from background noise and other acoustic signals helping to pinpoint leak location. As a result of the application of DFO technology coupled with appropriate processing techniques way ahead for the well was identified providing an operator with a confident answer and saving on further intervention costs.
基于分布式声传感数据的声事件分类的井完整性诊断
注水井在正常的作业周期中会经历极端的压力和温度,以及膨胀和收缩。这可能会导致许多与腐蚀、泄漏、屏障元件退化和操作实践相关的井完整性问题,这些问题都将油井的健康置于危险之中,需要适当的管理。本文将描述北海注水井的一个案例,随着时间的推移,b环空出现了持续套管压力(SCP)。作为开发过程中的一口关键井,有必要了解SCP的起源和性质,因为这将为该井制定进一步的作业计划,帮助决定该井是否可以继续安全作业,是否需要进行干预,或者可能会被放弃。需要进行泄漏调查,以试图确定压力的来源、造成压力的流体类型、流体路径,以及是否因此发生了注入区外。为实现上述目标,本文选择分布式光纤(DFO)系统作为优选技术。与传统的泄漏检测方法相比,DFO能够同时监测整个井段,记录声波和温度剖面。分布式声学传感(DAS)用于记录井的声学特征,帮助确定泄漏来源和可能的途径,而分布式温度传感(DTS)用于记录井的流出剖面,并建议是否可能进行层外注入。使用模式识别技术可以从背景噪声和其他声学信号中提取泄漏特征,从而帮助确定泄漏位置。由于DFO技术的应用,再加上适当的处理技术,为作业者提供了一个自信的答案,并节省了进一步的干预成本。
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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