含液气体流动的建模与仿真

Chinonso Okafor, A. Giwa, A. Gidado
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引用次数: 0

摘要

气井的液体负荷会给气井带来问题,并影响气井的完全回收。一些作者提出了各种模型来预测气井中液体加载的开始,但这些模型的结果经常显示出差异。Turner等人的基本模型是基于液滴是一个球体并在整个井筒中保持球形的认识而建立的。此后,李的模型是在理解液滴的形状是平坦的并且始终保持不变的情况下制定的。此外,Maduabuchi的模型与之前的模型一致,提出了一个畸变系数“C”,以适应液滴沿井筒的畸变,从而可以有效地预测液滴从圆形到水平形状波动时的基本速率。本文建立了另一种模型,并利用MATLAB程序对其进行了仿真。在本工作的新模型中,采用了Maduabuchi等人的模型,将漂移通量方程及其参数(分布系数C0和漂移速度uD)以修正形式联系起来。为了适应液滴和气滴混合的影响,引入了漂移通量参数。与其他模型相比,新模型预测临界速度的拟合精度为决定系数(R2) 0.9547。Maduabuchi等人的模型的决定系数(R2)为0.8987,Li等人的模型的R2为0.8987,Turner等人的模型的决定系数(R2)为0.8939。结果表明,该模型是一种快速、可靠的工具,可以准确估计生产气井的液体加载开始。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling and Simulation of Liquid-Loaded Gas Flow
Liquid loading of gas wells gives rise to problems in the wells and diminishes their complete recuperation. A few authors proposed various models to predict the beginning of liquid loading in gas wells, yet the outcomes from the models regularly show disparities. Turner et al.'s basic model was developed based on the understanding that the liquid droplet is a sphere and stays spherical all through the whole wellbore. Thereafter, Li's model was formulated with the understanding that the fluid drops are flat in shape and stays the same all through. Furthermore, Maduabuchi's model was proposed in line with the previous models by presenting a distortion coefficient "C" to cater for the disfigurement of the liquid droplet along the wellbore and, thus, have the option to effectively foresee the basic rate when the droplet fluctuates from the circular shape to the level shape. In this work, another model has been developed and simulated with the aid of MATLAB program to anticipate liquid loading in gas wells. In the new model of this work, Maduabuchi et al.'s model was utilized while relating the drift flux equations and their parameters (distribution coefficient, C0, and the drift velocity, uD) in a modified form. The drift flux parameters were incorporated to cater for the impacts of mixing of the liquid and gas droplets. The newly developed Model predicted the critical velocity with a fitting accuracy of coefficient of determination (R2) of 0.9547 compared to other models. Maduabuchi et al.'s model has coefficient of determination (R2) of 0.8987, Li et al.'s Model has R2 value of 0.8987 and Turner et al.'s model has coefficient of determination (R2) of 0.8939. Consequently, the new evolved model was discovered to be a quick and robust tool for estimating exactly the beginning of liquid loading of producing gas wells.
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