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History Matching the Clean-up of a Well at the Oselvar Field Using a Transient Multiphase Flow Simulator

机译:使用瞬态多相流模拟器在OSELVAR字段中匹配井中的历史匹配

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This paper presents the history matching of a clean-up operation of a long horizontal oil well at the Oselvar field in the North Sea using a commercial multiphase flow simulator. Data recorded during the actual clean-up is presented in the paper, and is compared with simulation results. Well clean-up is the process of flowing the drilling and completion fluids out of a new well, removing formation damage and filling the well with formation fluids. The role of upfront simulation of well clean-up is to optimize the operation and provide the basis for the operational procedure to be used onsite. Also, after the well clean-up has been carried out, the simulation tool may be used for history matching in order to gain understanding of what happened during the operation and assess the quality of the upfront simulation model. The data from the Oselvar clean-up operation revealed that the liquid flow rates at the initial choke size were significantly different from the rates predicted by the upfront simulations. Also, the time it took until no more drilling mud arrived topside was longer than expected. The data shows that the heel of the well was producing for several hours before there was any production from the toe of the well. This is attributed to the high initial productivity of the heel of the well, and to unexpected rheological behavior of the drilling mud. Constructing a transient downhole boundary condition based on the recorded data and on interpretation of petrophysical well data, a history matched simulation model was built that gave good agreement with the data. The work in this paper contributes to improved understanding of mud retention in wells during clean-up operations. The data and simulation results demonstrate why the modeling approach widely used in the industry may lead to a conservative estimate of the pressure margin before a well is killed, and an optimistic estimate of the time that is required to clean the well.
机译:本文使用商业多相流动模拟器呈现在北海的OSELVAR领域的长水平油井清理运行的历史匹配。在实际清理期间记录的数据在纸张中提出,并与仿真结果进行比较。良好的清理是流动钻孔和完井流体的过程,从而使损坏损坏并用地层流体填充井。井中清理的前期仿真的作用是优化操作,并为现场使用的操作过程提供基础。此外,在执行良好的清理之后,仿真工具可以用于历史匹配,以便了解在操作期间发生的内容并评估前期仿真模型的质量。来自OSELVAR清理操作的数据显示,初始扼流尺寸的液体流速与由前端模拟预测的速率显着不同。此外,直到没有更多的钻井泥的时间到达顶部的时间比预期的要长。数据显示,井的后跟在井的脚趾上产生了几个小时。这归因于井的鞋跟的高初始生产力,以及钻井泥的意外流变行为。基于记录数据构建瞬态井下边界条件和岩石物理井数据的解释,建立了历史匹配的仿真模型,从而与数据吻合良好。本文的工作有助于在清理操作期间提高对井泥浆保留的理解。数据和仿真结果表明,为什么业界广泛使用的建模方法可能导致在良好杀死之前的压力余量的保守估计,以及对清洁井所需时间的乐观估计。

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