Data Analytics Drives Production Optimization for Gas Lift Wells to the Peak, Case Study from Gulf of Suez.

M. Koriesh, Mahmoud El Sheikh, Ahmed Maher, M. Elwan, Ahmed El Bohoty, Hisham Mousa
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Abstract

Gas Lift has been applied in the oil field for more than 70 years, despite the new technology and developments there is always more optimization that can be done. In this paper we are giving a leading example of one of the oldest gas lift projects in gulf of Suez that has been running for more than 50 years where 540 MMSCFD being pumped on daily basis to produce more than 200 wells as of today. the experience in this field is quite historical but the question is always persisting are we making best use of lift gas volumes and pressure, does every well have the optimum design and receives the optimum gas lift rate. One more important question will be how to prioritize interventions and optimization operations to target wells with highest value. In order to assess the overall gas lift performance of the field an innovative dashboard was created including Key performance indicators that reflect benchmarking of Lift Gas Consumption compared with historical Performance of the field. This should spot the light to the field with lowest efficiency and most probably it is expected higher return of production if we dedicate efforts to this field. Moreover creating wells dashboard has valued new Key Performance indicators with New Diagnostic Graphs that was not given attention by the industry before. Having these diagnostic Plots allowed benchmarking performance of wells for similar reservoir, completion type, gas lift design and sand face completion. Using this technique, it became easy to detect wells with higher potential of production with proper gas lift intervention. Although Analytics can give some guidance on the required actions to enhance production of wells knowing the basic design, having the analytics coupled with Integarated Network modelling and well models added more value to the project. Data Driven Gas Lift Optimization approach was applied since Oct. 2021 in an extensive approach over GOS, the approach succeeded to define more than 74 Optimization and Intervention Opportunities 45 of them were actually intervened in less than a year and added more than 4000 BOPD to production capacity. It was not a surprise that some of historically known underperforming wells were interpreted underperforming for other reasons than gas lift in-efficiency but using Gas lift Analytics re-analysis of the system showed huge value for gas lift intervention in these wells and succeeded to revive them. Data Analytics and Data driven gas lift optimization is proved a huge leap in managing gas lift fields and keeping the system running closer to optimum.
数据分析推动气举井产量优化达到峰值,以苏伊士湾为例
气举在油田的应用已经有70多年的历史了,尽管有新的技术和发展,但总是有更多的优化可以做。在本文中,我们给出了苏伊士湾最古老的气举项目之一的一个主要例子,该项目已经运行了50多年,每天可抽540万立方英尺/天,目前可生产200多口井。该领域的经验具有悠久的历史,但问题始终存在,我们是否充分利用了举升气量和压力,是否每口井都有最佳的设计并获得最佳的气举速率。另一个重要的问题是如何优先考虑干预措施和优化作业,以瞄准价值最高的井。为了评估该油田的整体气举性能,我们创建了一个创新的仪表板,其中包括反映气举气体消耗基准与该油田历史性能的关键性能指标。如果我们致力于这一领域,这将使效率最低的领域获得光明,并且最有可能获得更高的生产回报。此外,创建井仪表板还重视新的关键性能指标和新的诊断图表,这在以前没有得到业界的重视。有了这些诊断图,可以对类似油藏、完井类型、气举设计和砂面完井的井性能进行基准测试。使用该技术,通过适当的气举干预,可以很容易地发现具有较高生产潜力的井。虽然在了解基本设计的情况下,分析可以为提高油井产量提供一些必要的指导,但将分析与集成网络建模和井模型相结合,可以为项目增加更多价值。自2021年10月以来,数据驱动气举优化方法在GOS上得到了广泛应用,该方法成功地确定了超过74个优化和干预机会,其中45个在不到一年的时间内进行了实际干预,并使产能增加了4000多桶/天。一些历史上表现不佳的井被解释为表现不佳的其他原因而不是气举效率低下,这并不奇怪,但使用gas lift Analytics对系统进行的重新分析显示,这些井的气举干预具有巨大的价值,并成功地恢复了它们。数据分析和数据驱动的气举优化被证明是气举油田管理的巨大飞跃,并使系统运行更接近最佳状态。
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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