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Production monitoring of multilateral wells by multivariate dynamic interfacial tension

机译:多边形孔隙的生产监测多元动态界面张力

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摘要

Reliable information about the inflow distribution in a multilateral well is of great importance and an ongoing challenge in the oil industry. In this work, we present a standard method for online monitoring of inflow distribution based on multivariate analysis of the dynamic surface tension (DST) of the produced oil. The method is reliant upon the assumption that the DST of the produced oil is a functional that takes the DST functions of each producing branch or layer as input. We measured the DST of water and crude oils, sampled from the sub-layers of a multilateral well, in ambient conditions. We found that the DST of crude oil samples fit three equations at three intervals which led to easier optimization of the error function of partial least squares (PLS). We, moreover, analyzed the impact of droplet normalization on the accuracy of the predicted results. The developed method was reliably used for an accurate and fast determination of the inflow distribution in a three-lateral well. (C) 2018 Published by Elsevier Ltd.
机译:有关多边井中流入分配的可靠信息非常重要,石油工业中的持续挑战是非常重要的。在这项工作中,我们提出了一种基于生产油动态表面张力(DST)的多变量分析的流入分布的在线监测标准方法。该方法依赖于假设所生产的油的DST是将每个产生分支或层的DST功能作为输入的功能。我们测量了水和原油的DST,在环境条件下从多边井的亚层采样。我们发现原油样品的DST以三个间隔适合三个方程,这导致了偏最小二乘(PL)的误差函数的优化。此外,我们分析了液滴标准化对预测结果的准确性的影响。开发方法可靠地用于精确,快速地确定三个侧面井中的流入分布。 (c)2018由elestvier有限公司出版

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