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Dual-iterative model for gas condensate measurement based on void fraction

机译：基于空隙率的气体凝析气双重迭代模型

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Gas condensate frequently appears in the production of natural gas, and the accurate measurement of this gas liquid flow, known as wet gas, plays an increasingly significant role in the present age. This study proposed a novel model to measure wet gas based on the void fraction and the Lockhart-Martinelli (L-M) parameter. A vital parameter in two phase flow, the void fraction is not often used in wet gas models because it is difficult to measure. The proposed dual-iterative model attempts to ease this calculation by using an iterative algorithm to obtain the gas phase flow rate. Another complication of existing wet gas correlations is that they require the liquid flow rate to measure the gas flow rate, but this approach is impractical in industrial environments. The proposed dual-iterative model, however, only requires differential pressure ratios and two phase densities, which can be measured accurately and easily. Laboratory results indicate that the relative deviations of the dual-iterative model range from 5.92% to 5.36% with a standard deviation of 1.56%. An on-site test to verify the applicability of the model was conducted at the Petro China's Tarim Oilfield Company and resulted in relative deviations from the cumulative predicted gas flow rate below 5.2% for every well tested. (C) 2015 Elsevier B.V. All rights reserved.
机译：天然气生产中经常出现凝析气，在当今时代，准确测量这种气液流量（称为湿气）起着越来越重要的作用。这项研究提出了一种基于空隙率和Lockhart-Martinelli（L-M）参数的新型测量湿气的模型。空隙率是两相流中的重要参数，由于它很难测量，因此在湿气模型中不经常使用空隙率。所提出的双重迭代模型试图通过使用迭代算法来获得气相流速来简化该计算。现有湿气关联的另一个复杂之处在于，它们需要液体流速来测量气体流速，但是这种方法在工业环境中不切实际。但是，提出的双重迭代模型仅需要压差比和两个相密度，即可准确，轻松地进行测量。实验结果表明，双重迭代模型的相对偏差为5.92％至5.36％，标准偏差为1.56％。在中国石油的塔里木油田公司进行了现场测试以验证该模型的适用性，结果导致每口测试井的累计预测气体流量相对偏差低于5.2％。 （C）2015 Elsevier B.V.保留所有权利。

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