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Published by the DTI Oil & Gas Directorate for the reservoir
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Gas Condensate Well Productivity |
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![]() Robert Mott |
Robert Mott (robert.mott@ecl-winfrith.com) a consultant principal reservoir engineer with ECL Technology Ltd describes the results of a recently completed joint industry project investigating and evaluating the various phenomena that influence productivity in gas condensate reservoirs (co-author Andrew Cable). Introduction AEA Technology (now ECL Technology Ltd) has recently completed a joint industry project aimed at an improved understanding of some of the key issues affecting gas-condensate well productivity. The work included core flood experiments on gas-condensate fluids at reservoir conditions, and the development of methods for calculating gas-condensate well performance, both in field-scale reservoir simulation models and simpler reservoir engineering calculations. When the pressure in a condensate well falls below the dew point, a region of high liquid saturation builds up around the well, impairing the flow of gas and reducing productivity. It is essential to take account of this ‘condensate blockage’ effect when calculating well productivity. It is also important to understand the two high-velocity phenomena which can have a significant impact on condensate well productivity - the increase in mobility at high capillary number (sometimes referred to as ‘positive coupling’ or ‘velocity stripping’), and inertial or non-Darcy flow. Gas Condensate Relative Permeability Measurements A key objective of this project was to develop a procedure for measuring all of the relative permeability data needed for gas-condensate reservoir management on a routine basis and at lower cost. We have developed a new experimental technique, the pseudo-steady-state technique [1], which can provide a more cost-effective way of acquiring gas-condensate relative permeability data. We have been providing service studies based on this method since 2001. During the joint industry project we have measured near-well gas condensate relative permeabilities on three cores; a sandstone outcrop core, a sandstone reservoir core, and a carbonate reservoir core. The work has concentrated on low permeability rocks with permeabilities in the range 3 to 9 mD, as well productivity is more likely to be important in low permeability reservoirs. All of the cores showed a significant increase in relative permeability at high capillary number, and we were able to match the results using empirical correlations, as illustrated in Figure 1. Figure 1. Data for gas relative permeability versus capillary number on 9 mD sandstone outcrop core, compared with correlation of Saevereid et al [2] Engineering Calculations of Gas Condensate Well Productivity Simpler calculations are particularly useful to provide rapid forecasts of well deliverability, for sensitivity studies to assess the impact of parameters such as relative permeability or PVT properties, or to estimate the benefits of fractured or horizontal wells. They may also be more appropriate where accurate data on reservoir, fluid or rock properties are not available, or as part of an integrated study involving issues such as pipelines, surface facilities, drilling schedules and gas sales contracts. We have developed an Excel spreadsheet model for simple forecasts of gas condensate reservoir performance, combining a material balance model of the reservoir with a 2-phase pseudopressure model for well inflow-performance. The pseudopressure model can take account of condensate blockage and high velocity effects. This work is described in detail in a paper at the 2002 SPE Annual Conference [3]. The spreadsheet model has been tested by comparison with results of fine-grid numerical simulation for a number of different cases, including fractured and horizontal wells. Figure 2 shows results for a vertical well in a rich gas condensate reservoir with 10 mD permeability. Two different relative permeability models are used – one which ignores high velocity effects and one which allows for an increase in relative permeability with capillary number. The results show the significant improvement in productivity due to the high-velocity effect, and the good agreement between the spreadsheet and simulation results in both cases. Acknowledgements References
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