Design Considerations of Waterflood Conformance Control With Temperature-Triggered, Low-Viscosity Submicron Polymer
- Omer Izgec (Chevron Energy Technology Company) | G. Michael Shook (Chevron Energy Technology Company)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- October 2012
- Document Type
- Journal Paper
- 533 - 540
- 2012. Society of Petroleum Engineers
- 5.7.2 Recovery Factors, 1.10 Drilling Equipment, 2.2.2 Perforating, 5.3.2 Multiphase Flow, 5.4.1 Waterflooding, 5.6.5 Tracers, 4.1.2 Separation and Treating
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In waterfloods, the existence of highly conductive thief zones causes poor volumetric sweep efficiency, resulting in early breakthrough and excessive production of water. A conventional strategy of redirecting injection by closing off perforations yields short-term benefits because diversion occurs near the wellbore. As an alternative, temperature-triggered submicron polymers with low viscosity (popping agents), which give an opportunity for conformance control deep in the reservoir, have been introduced in recent years. This technology aids conformance control by plugging the high-permeability zones and diverting the fluid to the unswept portion of the reservoir. Understanding the critical parameters that lead to a successful treatment and accurate determination of the slug size are two important criteria for a technically and economically successful treatment. In this study, we first investigate the effect of different parameters on the success of a conformance control treatment. A comprehensive design-of-experiments (DOE) study resolves the effects (and combined effects) of kv/kh, treatment fluid concentration, thief-zone to matrix-permeability ratio, mobility ratio, and location of the placement in the reservoir. Next, a methodology is developed for accurate determination of the conformance slug size. The method is built on the temporal moment and residence time distribution analysis (RTDA) of interwell tracers. Dynamic flow- and storage-capacity curves are used to identify the optimum slug size. 3D thermal computer simulations show that thief-zone to matrix-permeability ratio and placement location of the polymer are the most important parameters that affect the success of a treatment. The most desirable setting is placement of the polymer deep in the reservoir, closer to the producer within high kv/kh reservoirs. Furthermore, the computer simulations confirm the power of the new technique for optimal slug-size determination. This new technique can avoid underestimation of the volume that must be treated, which is critical for the success of a treatment.
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Akanni, O.O. 2010. Analysis of In-Depth Profile Modification Reservoir SweepImprovement and Comparison With Polymer Flooding for Improved Oil Recovery. MSthesis, New Mexico Institute of Mining and Technology, Socorro, New Mexico(2010).
Chang, K.-T., Frampton, H., Morgan, J.C. 2002. Composition and Method forRecovering Hydrocarbon Fluids from a Subterranean Reservoir. US Patent No.6,454,001 B1.
Fletcher, A.J.P., Flew, S., Forsdyke, I.N., et al. 1992. Deep Diverting Gelsfor Very Cost-Effective Waterflood. J Pet. Sci. & Eng. 7: 33-43. http://dx.doi.org/10.1016/0920-4105(92)90006-M.
Frampton, H., Morgan, J., Cheung, S., et al. 2004. Development of a NovelWaterflood Conformance Control System. Paper SPE 89391 presented as SPE/DOESymposium on Improved Oil Recovery, 17-21 April 2004, Tulsa, Oklahoma. http://dx.doi.org/10.2118/89391-MS.
Garmeh, R., Izadi, M., Salehi, M., et al. 2011. Thermally Active Polymer toImprove Sweep Efficiency of Waterfloods: Simulation and Pilot DesignApproaches. SPE Res Eval & Eng 15 (1): 86-97. http://dx.doi.org/10.2118/144234-PA.
Ghaddab, F., Kaddour, K., Tesconi, M., et al. 2010. El Borma-Brightwater: ATertiary Method for Enhancing Oil Recovery for a Mature Field. Paper SPE 136140presented at the SPE Production and Operations Conference and Exhibition,Tunis, Tunisia, 8-10 June. http://dx.doi.org/10.2118/136140-MS.
Husband, M., Ohms, D., Frampton, H., et al. 2010. Results of a Three-WellWaterflood Sweep Improvement Trial in the Prudhoe Bay Field Using a ThermallyActivated Particle System. Paper SPE 129967 presented at the SPE Improved OilRecovery Symposium, Tulsa, Oklahoma, 24-26 April. http://dx.doi.org/10.2118/129967-MS.
Mustoni, J.L., Norman, C.A., Denyer, P. 2010. Deep Conformance Control by aNovel Thermally Active Particle System to Improve Sweep Efficiency in MatureWaterfloods of the San Jorge Basin. Paper SPE 129732 presented at the SPE/DOESymposium on Improved Oil Recovery, Tulsa, Oklahoma, 24-28 April. http://dx.doi.org/10.2118/129732-MS.
Pritchett, J., Frampton, H., Brinkman, J. 2003. Field Application of a NewIn-Depth Waterflood Conformance Improvement Tool. Paper SPE 85897 presented atthe SPE International Improved Oil Recovery Conference, Kuala Lumpur, Malaysia,20-21 October. http://dx.doi.org/10.2118/84897-MS.
Roussennac, B., Toschi, C. 2010. Brightwater Trial in Salema Field (ComposBasin, Brazil). Paper SPE 131299 presented at the SPE EUROPEC/EAGE AnnualConference and Exhibition, Barcelona, Spain, 14-17 June. http://dx.doi.org/10/2118/131299-MS.
Sydansk, R.D., and Romero-Zeron, L. 2010. Reservoir ConformanceImprovement. Richardson, Texas: Society of Petroleum Engineers.
Seright, R.S., Zhang, G., Akanni, O.O., et al. 2011. A Comparison of PolymerFlooding With In-Depth Profile Modification. Paper CSUG/SPE 146087 presented atthe Canadian Unconventional Resources, Calgary, Canada, 15-17 November. http://dx.doi.org/10.2118/146087-MS.
Shook, G.M., 2003. A Simple, Fast Method of Estimating Fractured ReservoirGeometry From Tracer Tests. Geothermal Resources CouncilTransactions 27: 407-411.
Shook, G.M., Pope G.A., Asakawa, K. 2009. Determining Reservoir Propertiesand Flood Performance From Tracer Test Analysis. Paper SPE 124614 presented atthe SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, Oct4-7. http://dx.doi.org/10.2118/124614-MS.
STARS Advance Processes and Thermal Reservoir Simulator. 2010. Version 2010User Guide. Calgary, Canada: Computer Modeling Group (CMG).
Wu, X., Pope, G.A., Shook, G.M., et al. 2008. Prediction of EnthalpyProduction From Fractured Geothermal Reservoirs Using Partitioning Tracers.International Journal of Heat and Mass Transfer 51:1453-1466. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2007.06.023.
Yanez, P., Mustoni, J., Relling, M., et al. 2008. Improving Sweep Efficiencyat the Mature Koluel Kaike and Piedra Clavada Waterflooding Projects,Argentina. J. Pet Tech 60 (1): 47-49.
Zhang, G. 2010. Comparison of In-Depth Profile Modification and Polymer toRecover Viscous Oils. PRRC Report 10-05, December.