MECHANISTIC MODELING OF DYNAMIC ZERO-NET LIQUID HOLDUP (ZNLH) IN GAS-LIQUID CYLINDRICAL CYCLONE (GLCC,*) SEPARATOR

被引:0
作者
Kolla, Srinivas Swaroop [1 ]
Karpurapu, Megharaj Praneeth [1 ]
Mohan, Ram S. [1 ]
Shoham, Ovadia [2 ]
机构
[1] Univ Tulsa, Dept Mech Engn, Tulsa, OK 74104 USA
[2] Univ Tulsa, McDougall Sch Petr Engn, Tulsa, OK 74104 USA
来源
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 7 | 2019年
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中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Over the past 2 decades, GLCC compact separators have been replacing the conventional vessel type separators in the Oil & Gas Industry, because of its numerous advantages. Despite these advantages, GLCC separators face two critical problems affecting the performance under extreme operating conditions, namely, Liquid Carry Over (LCO) into the gas leg and Gas Carry Under (GCU) into the liquid leg. This study focuses on the LCO phenomenon. Having a deeper insight into the LCO flow phenomenon helps us to enhance the technical performance of GLCC at these extreme conditions. Several studies were presented in the past on experimental investigations and mechanistic modeling of LCO. In the above cases, mechanistic modeling of LCO was based on Zero Net liquid Holdup (ZNLH) parameter. The liquid holdup in the upper part of the GLCC before it is blown out by gas flow is referred to as ZNLH. ZNLH is an important phenomenon affecting the GLCC pressure behavior and performance characteristics. Above mentioned experimental investigations performed to calculate ZNLH were carried out under static conditions where the effects of superficial liquid velocities were neglected. Investigations have been carried out in this study under dynamic conditions to evaluate the effect of superficial liquid velocities on ZNLH. We found that Dynamic ZNLH results are different from static ZNLH data as they show lower liquid holdup for the same gas velocities. A mechanistic model is proposed in this study to predict dynamic ZNLH and this model is validated against the dynamic ZNLH experimental data. It may be noted that a suitable ZNLH model will help in improving the predictions of the LCO mechanistic model considerably.
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页数:10
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