Scaling Analysis of Wells With Downhole Water Loop Completion for Bottomwater Control
- Lu Jin (Louisiana State University) | Andrew Krzysztof Wojtanowicz (Louisiana State University) | Gbolahan Afonja (Louisiana State University) | Wenjing Li (Louisiana State University)
- Document ID
- Society of Petroleum Engineers
- Journal of Canadian Petroleum Technology
- Publication Date
- November 2010
- Document Type
- Journal Paper
- 81 - 90
- 2010. Society of Petroleum Engineers
- 1.6 Drilling Operations, 2 Well Completion, 1.11 Drilling Fluids and Materials, 4.3.4 Scale, 4.1.2 Separation and Treating, 5.2 Reservoir Fluid Dynamics, 5.7.2 Recovery Factors, 6.5.2 Water use, produced water discharge and disposal, 4.1.5 Processing Equipment, 4.6 Natural Gas, 2.2.2 Perforating, 5.5 Reservoir Simulation
- smart wells, water coning
- 2 in the last 30 days
- 478 since 2007
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The theoretical paper presents development and verification of dimensionless groups describing a novel "smart?? well completion with downhole water loop (DWL) that stimulates wells affected by water coning. A well producing from an oil reservoir with bottomwater coning is completed at the top of oil for oil inflow and lifting, below the oil/water contact (OWC) for water drainage and deeper in the same aquifer for water injection. The two lower completions are hydraulically isolated from the top completion and work as a "water loop?? by draining the water to control OWC deformation (water cone) and injecting the drained water into the same aquifer. To date, computer simulations and field trials have shown that the wells with bottomwater drainage would produce more oil, and sooner, by removing water invasion to the oil-producing completion. However, addition of the water injection component makes the well's completion more complex and controlled by a multitude of well system parameters and reservoir and fluid properties. Therefore, dimensionless analysis is needed to simplify the system's description using only few dimensionless groups.
The study employs the inspectional analysis (IA) method to confirm known and define new dimensionless groups specific for DWL wells. Then, the resulting cluster of dimensionless groups has been reduced by verifying the groups for redundancy and interdependence.
Further reduction of the number of groups - from 14 to seven - has been accomplished by testing sensitivity of the recovery factor to the groups. Of the final seven, four dimensionless groups uniquely describe the DWL system.
|File Size||2 MB||Number of Pages||10|
1. Muskat, M. and Wyckoff, R.D. 1934. An Approximate Theory of Water Coningin Oil Production. SPE-935144-G. Trans., AIME, 114.
2. Croes, G.A. and Schwarz, N. 1955. Dimensionally Scaled Experiments andthe Theories on the Water-Drive Process. SPE-332-G. Trans., AIME,204.
3. Henley, D., Owens, W.W., and Craig, F.F. Jr. 1961. A Scale-Model Study of Bottom-WaterDrives. J Pet Technol 13 (1): 90-98. SPE-1539-G. doi:10.2118/1539-G.
4. Gunning, J., Paterson, L., and Poliak, B. 1999. Coning in dual completedsystems. J. Pet. Sci. Eng. 23 (1): 27-39.doi:10.1016/S0920-4105(99)00006-6.
5. Ould-amer, Y., Chikh, S., and Naji, H. 2004. Attenuation of WaterConing using Dual Completion Technology. J. Pet. Sci. Eng. 45 (1-2): 109-122. doi:10.1016/j.petrol.2004.04.004.
6. Wojtanowicz, A.K., Xu, H., and Bassiouni, Z.A. 1991. Oilwell Coning Control Using DualCompletion With Tailpipe Water Sink. Paper SPE 21654 presented at the SPEProduction Operation Symposium, Oklahoma City, Oklahoma, USA, 7-9 April. doi:10.2118/21654-MS.
7. Wojtanowicz, A.K. and Xu, H. 1992. A New Method to Minimize Oil WellProduction Water Cut Using A Downhole Water Loop. Paper CIM 92-13 presented atthe Annual Technical Meeting of the Petroleum Society of CIM, Calgary, 7-10June.
8. Jin, L. and Wojtanowicz, A.K. 2010. Performance Analysis of Wells withDownhole Water Loop Installation for Water Coning Control. J Can PetTechnol 49 (6): 38-45. SPE-138408-PA. doi:10.2118/138402-PA.
9. Jin, L., Wojtanowicz, A.K., and Hughes, R.G. 2010. An Analytical Model for Water ConingControl Installation in Reservoir with Bottomwater. J Can PetTechnol 49 (5): 65-70. SPE-137787-PA. doi:10.2118/137787-PA.
10. Shirman E.L. 1995. An Analytical Model of 3-D Flow Near a Limited-EntryWellbore in Multilayered Heterogeneous Strata-Theory and Applications. MSthesis, Louisiana State University, Baton Rouge, Louisiana.
11. Rapoport, L.A. 1955. Scaling Laws for Use in Design and Operation ofWater-Oil Flow Model. SPE-415-G. Trans., AIME, 204.
12. Geertsma, J., Croes, G.A., and Schwarz, N. 1956. Theory of DimensionallyScaled Models of Petroleum Reservoirs. SPE-539-G. Trans., AIME,207.
13. Craig, F.F. Jr., Sanderlin, J.L., Moore, D.W., and Geffen, T.M. 1957. ALaboratory Study of Gravity Segregation in Frontal Drives. SPE-676-G.Trans., AIME, 210.
14. Perkins, F.M. Jr. and Collins, R.E. 1960. Scaling Laws for Laboratory Flow Modelsof Oil Reservoirs. J Pet Technol 12 (8): 69-71.SPE-1487-G. doi: 10.2118/1487-G.
15. Carpenter, C.W. Jr., Bail, P.T., and Bobek, J.E. 1962. A Verification of Waterflood Scaling inHeterogeneous Communicating Flow Models. SPE J. 2 (1):9-12. SPE-171-PA. doi: 10.2118/171-PA.
16. Van Daalen, F. and Van Domselaar, H.R. 1972. Scaled Fluid-Flow Models with GeometryDiffering from that of Prototype. SPE J. 12 (3):220-228. SPE-3359-PA. doi: 10.2118/3359-PA.
17. Shook, M., Lake, L.W., and Li, D. 1992. Scaling Immiscible Flow throughPermeable Media by Inspectional Analysis. In Situ 16 (4):311-349.
18. Gharbi, R., Peters, E., and Elkamel, A. 1998. Scaling Miscible Fluid Displacementsin Porous Media. Energy Fuels 12 (4): 801-811. doi:10.1021/ef980020a.
19. Novakovic, D. 2002. Numerical Reservoir Characterization usingDimensionless Scale Numbers with Application in Upscaling. PhD dissertation,Louisiana State University, Baton Rouge, Louisiana.
20. Hernandez, J.C. and Wojtanowicz, A.K. 2007. Prediction of Oil Bypassingin Bottom Water Systems Using Dimensionless Groups. Paper CIPC 2007-064presented at the Canadian International Petroleum Conference, Calgary, 12-14June.
21. Ruark, A.E. 1935. Inspectional Analysis: A Method Which SupplementsDimensional Analysis. J. Elisha Mitchell Sci. Soc. 51:127-133.
22. Bear, J. 1972. Dynamics of Fluids in Porous Media. New York:Elsevier.
23. Buckingham, E. 1914. On Physically Similar Systems;Illustrations of the Use of Dimensional Equations. Phys. Rev. 4 (4): 345-376. doi: 10.1103/PhysRev.4.345
24. Nielsen, R.L. and Tek, M.R. 1963. Evaluation of Scale-Up Laws forTwo-Phase Flow through Porous Media. SPE J. 3 (2):164-176. SPE-494-PA. doi: 10.2118/494-PA.
25. Wygal, R.J. 1963. Construction of Models that SimulateOil Reservoirs. SPE J. 3 (4): 281-286. SPE-534-PA. doi:10.2118/534-PA.
26. Sonin, A.A. 1997. The Physical Basis of Dimensional Analysis.Cambridge, Massachusetts: MIT Press.
27. Rapoport, L.A. and Leas, W.J. 1953. Properties of Linear Waterfloods.SPE-213-G. Trans., AIME, 198.
28. Offeringa, J. and van der Poel, C. 1954. Displacement of Oil from Porous Media byMiscible Liquids. J Pet Technol 5 (12): 37-43.SPE-416-G. doi: 10.2118/416-G.
29. Meyer, H.I. and Gardner, A.O. 1954. Mechanics of Two Immiscible Fluidsin Porous Media. J. Appl. Phys. 25 (11): 1400-1406.doi:10.1063/1.1721576.
30. Mattax C. and Dalton, R. 1990. Reservoir Simulation. MonographSeries, SPE, Richardson, Texas 13: 49.
31. Hernandez, J.C. 2007. Oil Bypassing by Water Invasion to WellsMechanisms and Remediation. PhD dissertation, Louisiana State University andAgricultural and Mechanical College, Baton Rouge, Louisiana (09 July 2007).