INCREASING THE SPEED OF FOAM INJECTION SIMULATION IN HYDROCARBON RESERVOIRS

Reliable reservoir prediction is essential for optimized production and reservoir management. The prediction is normally done by reservoir simulation. Reservoir simulators solve fluid flow equations of reservoir numerically on homogenized coarse blocks of reservoir model. The original fine grids are generated by primary geological blocks which are output of geological software. The upscaling is necessary since geological software by means of statistical methods create models with millions and even billion of grid blocks and dynamic simulation on these models is practically not possible. In this study, we introduced different types of hybrid grid by nature-inspired method, which is the basis of scale-up model and then implement upscaling procedure. The simulation results on the geological structure well compared with the results of upscaled models. The results confirm that nature-inspired method consumes less run time with nearly accuracy of fine model.

Keywords:

Foam flooding, upscaling, grid modeling, geological model inspire, run time.,

PDF

___

[1]Mohammad Reza Rasaei, Muhammad Sahimi, “Upscaling and Simulation of Waterflooding in Heterogeneous Reservoirs Using Wavelet Transformations: Application to the SPE-10 Model, 20 July 2007.
[2] Masoud Babaei, Multiscale Wavelet and Upscaling-Downscaling for Reservoir Simulation, January 2013.
[3] An Introduction to Reservoir Simulation Using MATLAB, SINTEF ICT, Department of Applied Mathematics , May 27, 2014 Oslo, Norway.
[4] F. Brezzi and M. Fortin. Mixed and Hybrid Finite Element Methods, volume 15 of Springer Series in Computational Mathematics. Springer Verlag, New York, 1991. ISBN 0-387-97582-9.
[5] J. E. Aarnes, S. Krogstad, and K.-A. Lie. Multiscale mixed/mimetic methods on corner-point grids. Comput. Geosci., 12(3):297-315, 2008. ISSN 1420-0597.
[6] F. Brezzi, K. Lipnikov, and V. Simoncini. A family of mimetic finite difference methods on polygonial and polyhedral meshes. Math. Models Methods Appl. Sci., 15:1533-1553, 2005.
[7] M. A. Christie and M. J. Blunt. Tenth SPE comparative solution project: A comparison of upscaling techniques. SPE Reservoir Eval. Eng., 4:308-317, 2001.
[8] Y. Efendiev and T. Y. Hou. Multiscale Finite Element Methods, volume 4 of Surveys and Tutorials in the Applied Mathematical Sciences. Springer Verlag, New York, 2009.
[9] D. W. Peaceman. Fundamentals of Numerical Reservoir Simulation. Elsevier Science Inc., New York, NY, USA, 1991. ISBN 0444415785.
[10] D. K. Ponting. Corner point geometry in reservoir simulation. In P. King, editor, Proceedings of the 1st European Conference on Mathematics of Oil Recovery, Cambridge, 1989, pages 45-65, Oxford, July 25-27 1989. Clarendon Press.
[11] M. Prevost, M. Edwards, and M. Blunt. Streamline tracing on curvilinear structured and unstructured grids. SPE J., 7(2):139-148, June 2002.
[12] Aasum, Y., Kasap, E., Kelkar, M.: “Analytical Upscaling of Small-Scale Permeability Using a Full Tensor”, Paper SPE 25913 presented at the SPE Rocky Mountain Regional/Low Permeability Reservoirs Symposium held in Denver, CO, April 12-14, 1993.
[13] Barker, J.W., Thibeau, S.: “A Critical Review of the Use of Pseudo Relative Permeabilities for Upscaling”, Paper SPE 35491 presented at European 3-D Reservoir Modeling Conference held in Stavanger, Norway, April 16-17, 1996.
[14] Bedrikovetsky, P.G., Potsch, K.T., Polyanin, A.D., Zhurov, A.I.: “Upscaling of the Water flood Reservoir Properties on the Core Level: Laboratory Study, Macro and Micro Modeling”, Paper SPE 29870 presented for SPE Middle East Oil Show held in Bahrain, March 11-14, 1995.
[15] Coll, C., Muggeridge, A.H., Jing,, X.D.: “Regional Upscaling: A New Method to Upscale Waterflooding in Heterogeneous Reservoirs for a Range of Capillary and Gravity Effects”, Paper SPE 59337 presented at 2000 SPE/DOE Improved Oil Recovery Symposium held in Tulsa, OK, April 3-5, 2000.
[16] Craft, B.C., Hawkins, M.F.: Applied Reservoir Engineering, Prentice Hall, 1990.
[17] Vladimir Alvarado and Eduardo Manrique , “Enhanced Oil Recovery: An Update Review” , Department of Chemical and Petroleum Engineering, University of Wyoming, Department 3295,1000 E. University Ave, Laramie, WY, USA .
[18] Crowe, C. M. and Nishio, M. Convergence Promotion in the Simulation of Chemical Processes - The General Dominant Eigenvalue Method.
[19] Van Poolen H.K “Fundamental of EOR”, Chapter 5, Penwell Books, Tulsa, 1980.
[20] Don W.Green, G.Paul Willhite, “Enhanced Oil Recovery”, Chapter 5, Socity of Petroleum Enginners Textbook Series Vol.6, 1998-2003.
[21] Faroug Ali, S.M. and Selby, Rawya J., “Function, Characteristics of EOR Foam Behavior Covered in Laboratory Investigations.” Technology, Oil and Gas Journal, (Feb.3, 1986) pp 57, 60-63.