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Snorre In-depth Water Diversion Using Sodium Silicate - Evaluation of Interwell Field Pilot

机译:使用硅酸钠的鼻子深入的进水分流 - Interwell Field Pilot的评估

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Declining oil production and increasing water cut in mature fields indicate the need for improved conformance control. In this paper we report on the numerical modeling performed to evaluate the in-depth water diversion pilot performed for the Snorre field, offshore Norway. For this pilot 240 000 m3 of a sodium silicate solution was injected in the period July to October 2013. The goal of the pilot was to form an in-depth flow restriction for improving the sweep. The setup, execution and measured data from response monitoring for the pilot have been presented in previous papers. As discussed therein, the operation clearly resulted in a strong in-depth flow restriction resulting in delayed tracer responses and decrease in the water cut. However, the monitoring was only limited to well observations, so to understand the spatial and temporal forming of the flow restrictions we had to rely on numerical simulation and modeling. In short, we calibrated simulation models to the observed well responses by introducing flow restrictions; i.e. using history matching techniques. Through the reservoir modeling work we reproduce the pilot response well by introducing sound flow restrictions. This gives us clear indications on the location, timing, strength and corresponding uncertainties of the introduced flow restriction. Moreover, the modeling work supports interpretations from the response monitoring program. Finally, in addition to help evaluating the performed pilot, the learnings from the modeling work will hopefully give more accurate evaluation of potential future water diversion candidates.
机译:石油产量下降和成熟领域的水削减越来越多,表明需要改进的一致性控制。在本文中,我们报告了对挪威海上挪威Snorre领域进行的深入进入深入的进入深入的进入进入进入的进入进入深入投命试验的数值建模。对于该试验,将240,000 M3的硅酸钠溶液在2013年7月至10月的期间注射。飞行员的目标是形成改善扫描的深入流动限制。从前一篇论文提出了来自试验的响应监视的设置,执行和测量数据。如其中所讨论的,操作明显导致强烈的深入流动限制,导致延迟的示踪响应和降低水切割。然而,监测仅限于井观测,因此了解我们必须依赖数值模拟和建模的流量限制的空间和时间形成。简而言之,我们通过引入流动限制来校准模拟模型以观察到的良好响应;即,使用历史匹配技术。通过储层建模工作,我们通过引入声流限制来重现飞行员响应。这为我们提供了明确的指示,对引入的流动限制的位置,时序,强度和相应的不确定性。此外,建模工作支持响应监测程序的解释。最后,除了帮助评估所执行的飞行员外,建模工作的学习希望能够更准确地对潜在的未来进入候选候选人的评估。

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