实施流线推导产量指标提高了成熟油田的产油量

S. Adamson, I. Giden, Ronald Matzka-Pöll
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摘要

事实证明,流线型推导速率目标的应用和实施能够以最小的投资增加石油产量,降低含水率(Kornberger & Thiele, 2014)。Matzen领域,特别是16。TH层周边注水量大,生产井和注水井的作业范围大,是基于流线的注水优化措施的理想选择。采用多学科方法对16个国家进行建模。TH,整合和分析数据,包括压力、生产和注入量以及单井的操作包封层。在建模方法中还解决了油田周围的几个不确定因素,例如断层及其透射率。因此,可以在该油田约30%的活动井(约60口井)中定义和实施稳健的流线推导速率目标,从而显着提高了生产性能。在实施之后,对性能进行了持续监控,并取得了令人印象深刻的结果。实施产量目标后,整个油田的日产量增加了5%,最高达到26立方米/天(165桶/天),而液体产量仅增加了140立方米/天,注水量增加了160立方米/天,这对于平均含水率为98%的油田来说是例外。尽管取得了积极的成果,但本文讨论了一些经验教训,可以应用于未来的现场实施,以进一步提高性能。实践再次证明,实施流线型衍生率目标可以提供重要的价值,通过定义的工作流程和自动模型更新,可以更快、更可靠地实现这一价值,并减少人力,为水淹资产的管理和价值最大化提供了一种有效的方法。
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Implementation of Streamline Derived Rate Targets Improved Oil Production of Mature Field
The application and implementation of streamline derived rate targets have proven to increase oil production and reduce water cut with minimal investment (Kornberger & Thiele, 2014). The Matzen field, and in particular the 16.TH layer, has significant peripheral water injection as well as a large operating range on the production and injection wells, making it an ideal candidate for streamline based water flood optimization measures. A multidisciplinary approach was taken to modelling the 16.TH, incorporating and analyzing data including pressures, production & injection volumes as well as individual well operational envelopes. Several uncertainties surrounding the field were also addressed in the modelling approach, for example faults and their transmissibilities. As a result, robust streamline derived rate targets could be defined and implemented across approximately 30% of the active wells in the field (around 60 wells), which significantly improved the production performance. Following implementation, the performance was continuously monitored, with impressive results. Implementation of the rate targets, resulted in a field wide daily production rate increase of up to 5%, peaking at 26 m3/day (165 boe/day) with an increase of only 140 m3/day on the liquid production and an increase of 160 m3/day water injection, exceptional for a field with an average water cut of 98%. Despite the positive results, there were several lessons learned that are discussed in the paper and can be applied to future field implementation to improve the performance further. It has been again proven that implementation of streamline derived rate targets can provide significant value, and through a defined workflow and automatic model updates this value can be realized faster, more reliably and with less manpower, offering an effective method of managing a water flooded asset and maximizing its value.
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