A New and Practical Oil-Characterization Method for Thermal Projects: Application to Belridge Diatomite Steamflood
- Lan Zhang (Shell International Exploration and Production) | Roelof Pieterson (Shell International Exploration and Production) | Birol Dindoruk (Shell International Exploration and Production) | Peter Stoffels (Shell International Exploration and Production) | Yaqing Fan (Shell International Exploration and Production)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- February 2014
- Document Type
- Journal Paper
- 26 - 36
- 2013.Society of Petroleum Engineers
- 5.4.6 Thermal Methods, 5.2.2 Fluid Modeling, Equations of State, 5.1.1 Exploration, Development, Structural Geology
- EOS, steam drive, PVT, Belridge diatomite, lumping
- 2 in the last 30 days
- 369 since 2007
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Most of the oil-characterization approaches for thermal recovery are designed for heavy oils at moderate temperatures, in which oil can be represented in very simplistic ways (such as "gas" and "oil"). However, when oil is exposed to very high steam temperatures (i.e., 550°F), and/or the oil is lighter than the classical range defined for heavy oils and is exposed to a wide spectrum of thermal effects, such as distillation of the lighter ends, the conventional methods of representing the interaction of steam and the in-situ fluids are not accurate. In many cases, we have to first evaluate the quality of the data, and then represent the average behavior with a single most likely fluid model per reservoir segment (plus other scenarios, as needed) to simulate the production performance. There is a need to develop a streamlined approach to bring such data into industrial simulators in a practical way. In this study, we have developed a fit-for-purpose approach to generate a consistent pressure/volume/temperature (PVT) model over the whole reservoir, reflecting both pressure and temperature changes through the entire oil accumulation. The model represents the oil viscosity for a wide spectrum of temperatures, from reservoir temperature to steam temperature (thermal-process range). A systematic lumping scheme enables conversion of the characterized PVT model for numerical simulators with the minimal number of pseudocomponents while still capturing the essence of thermal physics. To our knowledge, there is no systematic study of this nature available in the literature. We have tested this approach in the Belridge diatomite steamdrive project. The study confirmed that steamflood incremental oil production in a light-oil reservoir is sensitive to the component lumping scheme because of distillation of the lighter ends. We also found that a five-component PVT model, representing the physics in "fit-for-purpose" dynamic simulation, best compromises between minimal number of components and physical description of the light-oil behavior.
|File Size||446 KB||Number of Pages||11|
Ahmed, T. 2010. Reservoir Engineering Handbook, fourth edition.Burlington, Massachusetts: Gulf Professional Publishing.
Allan, M. E. and Lalicata, J. J. 2011. The Belridge Giant Oil Field - 100Years of History and a Look to a Bright Future. Oral presentation given at the AAPG International Conference and Exhibition, Milan, Italy, 23-26 October.
Bergman, D. F. and Sutton, R. P. 2009. A Consistent and Accurate Dead-Oil-Viscosity Method. SPE Res Eval & Eng 12 (6):815-840. http://dx.doi.org/10.2118/110194-PA.
Dindoruk, B. and Christman, P. G. 2004. PVT Properties and Viscosity Correlations for Gulf of Mexico Oils. SPE Res Eval & Eng 7 (6): 427-437. http://dx.doi.org/10.2118/89030-PA.
Dindoruk, B. and Kindi, A. 2011. A Case Study of Dynamic Modeling of Multiple Regionally-Extensive Reservoirs Using a Unified Fluid Description.J. Pet. Sci. Eng. 78 (3-4): 748-758. http://dx.doi.org/10.1016/j.petrol.2011.06.025.
Lawrence, J. J. and Gupta, D. K. 2009. Quality Assessment and Consistency Evaluation Of Hydrocarbon PVT Data. Paper IPTC 13784 presented at the International Petroleum Technology Conference, Doha, Qatar, 7-9 December. http://dx.doi.org/10.2523/13784-MS.
Lindeloff, N., Pedersen, K., Rnningsen, H., et al. 2004. The Corresponding States Viscosity Model Applied to Heavy Oil Systems. J. Cdn. Pet. Tech. 43 (9): 47-53. http://dx.doi.org/10.2118/04-09-04.
Lohrenz, J., Bray, B.G. and Clark, C., 1964. Calculating Viscosities of Reservoir Fluids From Their Compositions. J. Pet. Tech. 16(10): 1171-1176. http://dx.doi.org/10.2118/915-PA.
Murer, A., McClennen, K., Ellison, T., et al. 2000. Steam Injection Projectin Heavy-Oil Diatomite. SPE Res Eval & Eng 3 (1): 2-12.http://dx.doi.org/10.2118/60853-PA.
Nagarajan, N., Honarpour, M. and Sampath, K. 2007. Reservoir-Fluid Sampling and Characterization — Key to Efficient Reservoir Management. J. Pet. Tech. 59 (8): 80-91. http://dx.doi.org/10.2118/103501-MS.
Pedersen, K. and Fredenslund, A. 1987. An Improved Corresponding States Model for the Prediction of Oil and Gas Viscosities and Thermal Conductivities.Chem. Eng. Sci. 42 (1): 182-186. http://dx.doi.org/10.1016/0009-2509(87)80225-7.
Peng, D. Y. and Robinson, D. B. 1978. The Characterization of the Heptanesand Heavier Fractions for the GPA Peng-Robinson Programs. Gas Processors Association, Research Report RR-28 (March 1978).
Petrosky Jr., G. E. and Farshad, F. F. 1998. Pressure-Volume-TemperatureCorrelations for Gulf of Mexico Crude Oils. SPE Res Eval & Eng 1 (5): 416-420. http://dx.doi.org/10.2118/26644-MS.
Petrosky Jr., G. E. and Farshad, F. F. 1995. Viscosity Correlations for Gulf of Mexico Crude Oils. Paper SPE 29468 presented at the SPE Production Operations Symposium, Oklahoma City, Oklahoma, 2-4 April. http://dx.doi.org/10.2118/29468-MS.
Rahman, M., Zannitto, P. J., Reed, D. A., et al. 2011. Application of Fiber-Optic Distributed Temperature Sensing Technology for Monitoring Injection Profile in Belridge Field, Diatomite Reservoir. Paper SPE 144116 presented at SPE Digital Energy Conference and Exhibition, The Woodlands, Texas, 19-21April. http://dx.doi.org/10.2118/144116-MS.
Rastegar, R. and Jessen, K. 2009. A Flow Based Lumping Approach for Compositional Reservoir Simulation. Paper SPE 119160 presented at SPE Reservoir Simulation Symposium, The Woodlands, Texas, 2-4 February. http://dx.doi.org/10.2118/119160-MS.
Standing, M. B. 1947. A Pressure-Volume-Temperature Correlation For Mixtures of California Oils and Gases. Drill. & Prod. Prac. J. 1947: 275-287.
Standing, M. B. 1977. Volumetric and Phase Behavior of Oil Field Hydrocarbon Systems. Richardson, Texas: SPE.
PVTsim, Version 19.1 Technical Manual. 2011. Calsep, Inc.
Wu, C. H. 1977. A Critical Review of Steamflood Mechanisms. Paper SPE 6550 presented at the SPE California Regional Meeting, Bakersfield, California,13-15 April. http://dx.doi.org/10.2118/6550-MS.
Yang, Z. 2012. Production-Performance Diagnostics Using Field-ProductionData and Analytical Models: Method and Case Study for the Hydraulically Fractured South Belridge Diatomite. SPE Res Eval & Eng 15 (6): 712-724. http://dx.doi.org/10.2118/153138-PA.