PRESSURE GRADIENT PREDICTION FOR DIFFERENT FLOW PATTERNS OF HEAVY OIL AND NATURAL GAS IN A HORIZONTAL PIPE USING CFD TECHNIQUES AND EMPIRICAL CORRELATIONS

L. D. S. Silva, J. G. O. Marinho, L. M. T. D. Oliveira
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引用次数: 1

Abstract

Two-phase flows are of fundamental importance in the petroleum industry, considering that most petroleum reservoirs produce oil and gas simultaneously. Because system pressure gradient is a result of the frictional effects between fluids and pipe wall, and the interfacial effects between the fluids themselves, the precise determination of this parameter is complex. Many authors have sought to predict pressure gradient by using computational fluid dynamic techniques and empirical correlations. The present work aims to compare heavy oil and natural gas mixture pressure gradients in a horizontal pipe for different flow patterns using the application ANSYS CFX 13.0, Lockhart and Martinelli, and Beggs and Brill correlations. The analysis investigated the results for bubbly, plug, and stratified flows. The results showed that Beggs and Brill over predicted pressure gradient values. It was also observed a good agreement between numerical and Lockhart and Martinelli correlation for bubbly and plug flows, with root-mean-square deviations (RMSD) of 5.78 and 19.55 percent, respectively. As for the stratified flow cases, the numerical results presented a poor agreement, with a RMSD greater than 90 percent. The high percent deviation for this flow regime is due to the increase in the gas input content. To compute the high gas velocity effects and, hence, improve the agreement, we suggest the use of turbulence and free surface models as well as different values of drag coefficient in the numerical setup.
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基于CFD技术和经验关联的稠油和天然气水平管道不同流态压力梯度预测
考虑到大多数油藏同时产油和产气,两相流在石油工业中具有至关重要的意义。由于系统压力梯度是流体与管壁之间的摩擦效应以及流体之间的界面效应的结果,因此该参数的精确确定是复杂的。许多作者试图通过使用计算流体动力学技术和经验相关性来预测压力梯度。目前的工作旨在通过应用ANSYS CFX 13.0、Lockhart和Martinelli以及Beggs和Brill相关性,比较稠油和天然气混合物在水平管道中不同流动模式下的压力梯度。分析了气泡流、塞流和分层流的结果。结果表明Beggs和Brill超出了预测的压力梯度值。气泡流和塞流的数值相关性与Lockhart和Martinelli的相关性也很好地吻合,均方根偏差(RMSD)分别为5.78和19.55%。对于分层流动情况,数值结果的一致性较差,RMSD大于90%。该流型的高百分比偏差是由于气体输入含量的增加。为了计算高气速效应,从而提高一致性,我们建议在数值设置中使用湍流和自由表面模型以及不同的阻力系数值。
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