注水性能基准测试和最佳实践的复制降低了作业成本,提高了采收率

M. Faiz, D. Mandal, R. Masoudi, Syarizan Mustapha, M. A. A. Wahab, Budi Mawardi Nasron, Sriyanta Hadi
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引用次数: 1

摘要

自上世纪90年代以来,马来西亚一直在采用注水(WI)技术来提高石油产量和增加储量。目前,约有27个油田正在进行注水生产。为了更好地管理这些WI字段并衡量这些字段的相对性能,确定了某些关键绩效区域(KPA)和关键绩效指标(KPI)。对这些KPA和kpi的测量可以作为比较WI领域性能的标准,从而通过促进最佳实践的复制和分享经验教训来提供提高集体性能的措施。在数字技术时代,KPA和KPI的定期测量已经使用现有的在线平台自动化,所有相关方都可以访问该平台。它提供了一个具有简单前瞻性分析的数据可视化平台。WI数据存储在公司数据库中,性能仪表板可以从现有软件中查看。团队设法克服了在完成历史数据缺口和数据卫生方面的挑战,这些挑战以前是手工管理的,并且没有集成。这导致了对某些领域的kpi和kpi的历史评估。该自动化计划将使实践工程师能够识别价值泄漏和建议的缓解工作。一些已确定的最佳实践,如管道清管优化、正确的杀菌剂用量、定期校准流量计和化学优化,已经帮助某些WI油田降低了运营成本。通过这些努力,公司可以在2018年大幅降低运营成本。除了数据可视化,该工具还提供诊断图,如Hall图、Chan's图等,用于快速分析井/油藏健康偏差的迹象,从而主动提供解决方案。在看到最初的积极结果后,该工具将被用于WI的其他油田。本文详细介绍了该工具如何试图同时诊断各种WI项目中的所有次优区域,从而通过识别价值泄漏,提供主动解决方案并复制由此确定的最佳实践,从而实现卓越的操作和采收率的提高。此外,使用该工具对不同项目的WI性能进行排名,可能有助于引发不同运营商之间的竞争,以提高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Injection Performance Benchmarking & Replication of Best Practices Reduces Operating Cost Improves Recovery
Water injection (WI) to improve oil production and increase reserves had been practiced in Malaysia since 1990s. Currently, around 27 fields are producing with water injection. To better manage these WI fields and gauge the relative performance of these fields, certain Key Performance Area (KPA) and Key Performance Indicators (KPI) were identified. Measurement of these KPA and KPIs serves as a yardstick to compare performance of WI fields and thus provide measures to improve collective performance by promoting replication of best practices and sharing lessons learnt. In the era of digital technology, the periodic measurement of KPA and KPI has been automated using the existing online platform which can remain accessible to all related parties. It provides a platform for data visualization with simple look forward analysis. The WI data is stored in company databank and the performance dashboard can be viewed from existing software. The team managed to overcome the challenges in completing the historical data gap and data hygiene which previously were managed manually and were not integrated. This resulted in historical evaluation of KPAs and KPIs of certain fields. This automation initiative will enable practicing engineers to identify the value leakages and proposed mitigation efforts. Some of the best practices identified such as pipeline pigging optimization, correct biocide dosage, periodic calibration of flow meter and chemical optimization already helped to reduce operating cost in certain WI fields. With these efforts, the company could reduce the operating cost significantly in year 2018. Other than data visualization, the tool provides diagnostic plots such as Hall Plot, Chan's Plot etc. for quick analysis of signs of well/ reservoir health deviations and thus solutions could be provided proactively. On seeing the initial positive results, this tool is being tried for the rest of the WI fields. This paper details how this tool tries to diagnose all sub-optimal areas within various WI project simultaneously, which leads to operational excellence and improvement in oil recovery, by identifying value leakages, providing proactive solutions with replication of thus identified best practices. Additionally, usage of this tool to rank WI performance of different projects can potentially help to initiate competition between different operators for improvement.
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