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A Simple Mechanistic Model for Void Fraction and Pressure Gradient Prediction in Vertical and Inclined Gas/Liquid Flow

机译:垂直和倾斜气/液流量的空隙分数和压力梯度预测的简单机械模型

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A new mechanistic model for two-phase flow in vertical and inclined pipes was proposed based on Drift-Flux approach.The proposed model,unlike the other mechanistic models(Ansari et al.1,Xiao et al.2,Unified Mechanistic Model3),which incorporate a system of nonlinear equation to solve,uses an explicit equation for liquid holdup prediction thus reducing computation time significantly.Coupled with some simplified assumptions on PVT,such simple form of liquid holdup prediction formula enables analytical integration of pressure gradient in two-phase flow along the pipe.This procedure is usually used to speed-up calculation of bottom-hole pressure for large number wells for oil production optimization purposes4.Drift-flux approach can predict liquid holdup for bubbly flow quite accurately.But for slug flow,it usually underestimates the void fraction.Since slug flow is the most common in producing wells,this leads to the pressure drop being overestimated significantly,that can be proved comparing computational results to the experimental data and mechanistic models.Small gas bubbles in liquid slugs should be taken into account to predict liquid holdup for slug flow more accurately.Gas in slug body is considered by adding a proper term to the void fraction expression.This term is based on correlation for liquid holdup in slug body.The model was evaluated using Rosneft field data and TUFFP databank.Evaluation of the model was made in comparison with three other mechanistic models for multiphase flow.
机译:基于漂移通量方法提出了一种新的机械模型,用于垂直和倾斜管中的两相流动。拟议的模型与其他机制模型(Ansari等,Xiao等人,统一机械模型3)不同,其中包括用于解决非线性方程的系统,使用显式方程进行液体储存预测,从而减少计算时间。在PVT上具有一些简化的假设,这种简单的液体储存预测公式能够在两相中分析压力梯度的分析整合沿着管道流动。该过程通常用于加速计算油生产优化的大量井的底部孔压力的计算4.Drift-vonux方法可以预测液体堆积,以便精确地流量。但是对于塞子流动,它通常低估空隙率。SLUP流是在生产井中最常见的,这导致压降显着高估,可以证明COMPA环形计算结果对实验数据和机械模型。应考虑液体块中的气泡,以预测液体储存的液体保持,更精确地通过向空隙分数表达添加一个适当的术语来考虑制槽体中的节。这术语基于SLUP主体中的液体储存的相关性。使用ROSNEFT字段数据和TUFFP数据库进行评估。与三种其他机制流程进行比较,进行模型。

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