Hybrid Model for Determining Dual String Gas Lift Split Factor in Oil Producers

Upstream oil production using dual string completion, i.e., two tubing inside a well casing, is common due to its cost advantage. High pressure gas is employed to lift the oil to the surface when there is insufficient reservoir energy to overcome the liquids static head in the tubing. However, gas lifting for this type of completion can be complicated. This is due to the operating condition where total gas is injected into the common annulus and then allowed to be distributed among the two strings without any surface control. High uncertainties often result from the methods used to determine the split factor—the ratio between the gas lift rate to one string over the total gas injected. A hybrid model which combined three platforms: the Visual Basics for Application programme, PROSPER (a nodal analysis tool) and Excel spreadsheet, is proposed for the estimation of the split factor. The model takes into consideration two important parameters, i.e., the lift gas pressure gradient along the annulus and the multiphase pressure drop inside the tubing to estimate the gas lift rate to the individual string and subsequently the split factor. The proposed model is able to predict the split factor to within 2% to 7% accuracy from the field measured data. Accurate knowledge of the amount of gas injected into each string leads to a more efficient use of lift gas, improving the energy efficiency of the oil productions facilities and contributing toward the sustainability of fossil fuel.

[1]  R. Azin,et al.  Production assessment of low production rate of well in a supergiant gas condensate reservoir: application of an integrated strategy , 2018, Journal of Petroleum Exploration and Production Technology.

[2]  R. C. TOMTaNSON COMPRESSIBLE FLOW , 2002 .

[3]  Donald L. Katz,et al.  Viscosity of Natural Gases , 1944 .

[4]  Y. C. Chia,et al.  Gas Lift Optimization Efforts and Challenges , 1999 .

[5]  Bjarne A. Foss,et al.  Stabilization of Gas-Distribution Instability in Single-Point Dual Gas Lift Wells , 2006 .

[6]  B. Lenoach,et al.  Model-based optimal control of dual completion wells , 2004 .

[7]  Mahmud Tareq Hassan Khan,et al.  Real-Time Production Surveillance Overcomes Challenges in Offshore Dual String Gaslift Wells in Baram Field, Malaysia , 2014 .

[8]  Zelimir Schmidt,et al.  Normalization of Nitrogen-Loaded Gas-Lift Valve Performance Data , 1993 .

[9]  Deni Saepudin,et al.  An Investigation on Gas Lift Performance Curve in an Oil-Producing Well , 2007, Int. J. Math. Math. Sci..

[10]  Baris Guyaguler,et al.  A New Rate-Allocation-Optimization Framework , 2008 .

[11]  Feng Xiao,et al.  A Robust Surveillance and Optimization Workflow for Offshore Gas Lifted Wells , 2017 .

[12]  J. Bellarby Chapter 6 Artificial Lift , 2009 .

[13]  R. P. Sutton Fundamental PVT Calculations for Associated and Gas/Condensate Natural-Gas Systems , 2007 .

[14]  Alcino R. Almeida,et al.  Practical equations calculate gas flow rates through venturi valves , 2010 .

[15]  Dale Doty,et al.  An Improved Method for Gas Lift Allocation Optimization , 1995 .

[16]  R. P. Sutton,et al.  Gas Lift Annulus Pressure , 2018, Day 1 Tue, August 28, 2018.

[17]  Gijs Hemink,et al.  On the Use of Distributed Temperature Sensing and Distributed Acoustic Sensing for the Application of Gas Lift Surveillance , 2018, SPE Production & Operations.

[18]  Dale Doty,et al.  An Improved Method for Gas Lift Allocation Optimization , 1995 .

[19]  Jonathan Bellarby,et al.  Well Completion Design , 2009 .