Partitioning model study of the traction coefficient in a droplet model in a wellbore

Abstract

Abstract Gas wells need to face the problem of gas well outflow during production, and the main way to deal with gas well fluid accumulation is to calculate the critical liquid carrying velocity and other factors by using the prediction model of excess fluid accumulation. When the prediction results of the hydrops prediction model are biased, hydrops will be generated at the bottom of the wellbore, resulting in a decrease in gas well productivity. Aiming at the problem that the drag coefficient of the wellbore droplet movement model changes greatly in the process of natural gas production, which leads to the error of the wellbore effusion prediction, the commonly used droplet models and the common drag coefficient models are analyzed and evaluated. Compared with the model obtained by the partition and the existing drag model and the experimental value, it is found that the model can effectively reduce the average error rate between the calculated results and the experimental value. The findings of this study can help for better understanding of change of critical liquid carrying velocity of droplet in different Reynolds number region, which is of reference value for the subsequent drainage and mining process.

Keywords

• drag coefficient
• drag force model
• droplet
• effusion prediction model
• partition optimization