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Application of Distributed Acoustic Sensing DAS Technology in Identification and Remediation of Sand Producing Zones in OHGP Completion

机译:分布式声学传感DAS技术在OHGP完成中抗砂区鉴定与修复的应用

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Sand production remains a key technical challenge in the ACG (Azeri-Chirag-Gunashli) field as the target formation is comprised of weakly consolidated sandstone. Although sand control completions (such as open hole gravel pack) are used to limit sand entry into the well, water breakthrough, increased fines production, high flux across completed intervals amongst other factors may negatively impact on their effectiveness as well as stability of reservoir rocks, resulting in high sand production, consequently requiring choking back of wells. This, at times, leads to significant production deferrals, which are attributed to the impact on entire production system: completion, wellbore, chokes, flow lines and production vessels. Therefore, improving techniques and developing technologies for downhole diagnostic and remediation to restore production will be of value throughout the ACG field life. An effective remediation requires an understanding of the sand entry points. Over the last 24 months, BP has developed a new real-time technology solution that employs novel signal processing techniques using Distributed Acoustic Sensing (DAS) systems to detect sand entry points along the wellbore during production. The technology solution has been employed to the interpretation of over 30 conducted surveys to identify sand entry zones in real time. In some instances, the results have also been used to inform targeted remediation using expandable patches. This paper summarizes the results from some of the DAS sand detection surveillance data acquired (in integration with other relevant dataset) and its use in remediation of compromised completion intervals. The authors will also share examples of drawdown optimization and risk management of wells with sand production based on acquired DAS data. This paper will cover a few examples of DAS survey data acquired both for wells with pre-installed fibre (25 wells) and those without it where the technology was deployed via wireline intervention (5 wells). The application of DAS technology in ACG has provided substantial value to date (both in terms of production and safety) and has much more value to be realized as the technology continues to mature.
机译:砂生产仍然是ACG(Azeri-Chirag-Gunashli)领域的关键技术挑战,因为目标形成由弱巩固的砂岩组成。虽然砂控制完成(如开孔砾石包装)用于限制井进入井,水突破,净化罚款增加,在其他因素之间的完整间隔的高通量可能对其有效性产生负面影响以及水库岩石的稳定性,导致砂生产高,因此需要窒息井。有时会导致大量的生产推迟,这归因于整个生产系统的影响:完成,井筒,扼流圈,流线和生产血管。因此,改善井下诊断和修复恢复生产的技术和开发技术将是整个ACG场寿命的价值。有效的修复需要了解沙入口点。在过去的24个月中,BP开发了一种新的实时技术解决方案,采用了使用分布式声学传感(DAS)系统的新型信号处理技术,以在生产过程中检测井筒的砂入口点。该技术解决方案已采用超过30次进行的诠释,实时识别沙入口区。在某些情况下,结果也已用于使用可扩展贴片通知有针对性的修复。本文总结了某些DAS砂检测监控数据(与其他相关数据集集成)的结果及其在妥协完成间隔的修复中使用。根据所收购的DAS数据,作者还将分享井的井井的绘图优化和风险管理的例子。本文将涵盖具有预先安装的光纤(25孔)的孔的DAS调查数据的一些例子,并且没有电缆介入(5孔)部署技术的情况。 DAS技术在ACG中的应用提供了迄今为止的大量价值(在生产和安全方面),并且由于技术持续成熟,因此实现了更多的价值。

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