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Inversion of multiphase flow models for horizontal and inclined oil-water well logging

机译:水平和倾斜油水井测井的多相流模型的反演

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Production logging is one of the most important aspects of managing oil/gas production of a field. It provides insight into the type and rates of fluid flow in the reservoir, which is critical to optimizing the life of the well. In multiphase oil production logging one would like to derive, from limited down-hole information on pressure loss and phase holdup, the oil and water production rates one can expect in near-horizontal tubing. A study based on the flow pattern prediction model developed by Trallero (1995) was carried out in order to investigate flow-pattern transitions, holdup and pressure gradient in oil-water flows. The steady-state one-dimensional two-fluid model for stratified flow and the homogeneous model for dispersed flow were used for holdup and pressure gradient prediction. A comparison of theoretical results with very recently published experimental data for horizontal and inclined pipes covering a significant range of pipe sizes was performed and the agreement was quite good. Subsequently, the oil and water superficial velocities were calculated from pressure drop and holdup data through the herein proposed inverse mode prediction technique. The agreement with experimental data is quite satisfactory.
机译:生产伐木是管理油场生产领域的最重要方面之一。它提供了对储层中流体流动的类型和速率的洞察力,这对于优化井的使用寿命至关重要。在多相石油生产测井中,可以从有限的卸孔信息上获取压力损失和相位储存,可以在近水平管中进行油和水生产率。进行了基于Trallero(1995)开发的流动模式预测模型的研究,以研究油水流动的流动模式转变,保持和压力梯度。用于分层流动的稳态一维两种流体模型和分散流动的均匀模型用于保持和压力梯度预测。对覆盖着覆盖着大量管道尺寸的水平和倾斜管的最近公开的实验数据的理论结果进行了比较,并且协议非常好。随后,通过通过本文提出的逆模式预测技术从压降和保持数据计算油和水位速度。与实验数据的协议非常令人满意。

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