Actas de congresos
Streamline Simulation With Compressibility And Spatial And Dynamic Variation In Oil Composition
Registro en:
9781605604824
Proceedings - Spe Annual Technical Conference And Exhibition. , v. 7, n. , p. 5042 - 5052, 2008.
2-s2.0-58849128774
Autor
Beraldo V.T.
Institución
Resumen
There are several oil fields offshore Brazil with horizontal oil density variations. API tracking, that is available in some commercial finite difference simulators, can deal with such cases by allowing definition of an initial oil gravity distribution and tracking variations of oil density, due to the movement of oil. Streamline-based simulators can be much faster than conventional finite difference simulators when applied to large and heterogeneous models. However, this approach is most accurate and efficient when it is assumed that the rock and fluids are incompressible. In previous work (Beraldo et al, 2007), an incompressible formulation for streamline simulation with an API Tracking option using two components in the oleic phase was presented. This paper presents a compressible formulation for streamlines that also considers API tracking. It extends the work of Cheng et al. (2006) and Osako and Datta-Gupta (2007) by consistently accounting for flux of mass and volume along streamlines. It was described how mass and volume can be mapped between the underlying grid and streamlines to minimize mass balance errors and how consideration of cumulative volume in a streamline can substitute for time-of-flight (Beraldo 2008). The method was implemented in a three-dimensional two-phase streamline-based simulator. Tests based on a Brazilian oilfield model and on the SPE10th Comparative Case demonstrate that the implementation can reproduce the results of a conventional simulator, while being substantially faster for finely-resolved models, even when compressibility is significant. 7
5042 5052 Batycky, R. P. Blunt, M. J. and Thiele, M.R. 1997. A 3D Field-Scale Streamline-Based Reservoir Simulator. SPERE 12(4): 246-253. SPE-36726-PABatycky, R. P. Thiele, M. R. Backer, R. O. and Chugh, S. H. 2008. Revisiting Reservoir Flood-Surveillance Methods Using Streamlines. SPERE 11 (2): 387-394. SPE-95402-PABehrenbruch, P. and Pham Quang, D. 1995. The Significance of Large Variations in Oil Properties of the Dai Hung Field, Vietnam. Proc., SPE Asia Pacific Oil and Gas Conference, Kuala Lumpur, Malaysia, 20-22 March. SPE-29302-MSBeraldo, V. T. Blunt, M. J. and Schiozer, D. J. 2007. Streamline Simulation With an API Tracking Option. Proc., EUROPEC/EAGE Conference and Exhibition, London, U.K., 11-14 June. SPE-107496-MSBeraldo, V.T., (2008) Simulação por Linhas de Corrente com Compressibilidade e Variação Espacial e Dinâmica de Composição de Óleo, , Phd dissertation, State University of Campinas, Campinas SP, Brazil Bratvedt, F., Gimse, T., Tegnander, C., Streamline Computations for Porous Media Flow Including Gravity (1996) Transport in Porous Media, 25 (1), pp. 63-78 Cheng, H., Osako, I., Datta-Gupta, A., King, M.J., A Rigorous Compressible Streamline Formulation for Two- and Three-Phase Black-Oil Simulation (2006) SPEJ, 11 (4), pp. 407-417. , SPE-96866-PA Cheng, H., Oyerinde, D., Datta-Gupta, A., Milliken, W., Compressible Streamlines and Three-Phase History Matching (2007) SPEJ, 12 (4), pp. 475-485. , SPE-99465-PA Christie, M.A., Blunt, M.J., (2001) Tenth SPE Comparative Solution Project: A Comparison of Upscaling Techniques, 4 (4), pp. 308-317. , SPERE, SPE-72469-PA Christie, M. Subbey, S Sambridge, M. and Thiele, M. 2002. Quantifying Prediction Uncertainty in Reservoir Modelling Using Streamline Simulation. Proc., 15 th ASCE Engineering Mechanics Conference, New York, NY, USA, 2-5 JuneDi Donato, G., Blunt, M.J., Streamline-based dual-porosity simulation of reactive transport and flow in fractured reservoirs (2004) Water Resources Research, 40, pp. W04203. , doi:10.1029/2003WR002772 Emanuel, A. S. and Milliken W. J. 1998. Matching Finite Difference Models With 3D Streamlines. Proc., Annual Technical Conference and Exhibition, New Orleans, Louisiana, 27-30 September. SPE-49000-MSFenwick, D. et al. 2005. Reconciling Prior Geologic Information With Production Data Using Streamlines: Application to a Giant Middle-Eastern Oil Field. Proc., SPE Annual Technical Conference and Exhibition, Dallas, Texas, USA, 9-12 October. SPE-95940-MS(2002) Eclipse Technical Manual, , Geoquest Reservoir Technologies, Houston, Texas, USA Gibson, A. Sørensen, H. Abdou, M. and Sener, I. 2006. New Methods for the Nonequilibrium Initialisation of Reservoir Models With Lateral and Vertical Variations in the Initial Fluid Composition. Proc., Abu Dhabi International Petroleum Exhibition and Conference Abu Dhabi, UAE, 5-8 November. SPE-101247-MSGross H. Thiele, M. R. Alexa, M. J. Caers, J. K. and Kovscek, A. R. 2004. Streamline-Based History Matching Using Geostatistical Constraints: Application to a Giant, Mature Carbonate Reservoir. Proc., SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, 26-29 September. SPE-90069-MSIngebrigtsen, L. Bratvedt, F. and Berge, 1999. J. A Streamline Based Approach To Solution of Three-Phase Flow. Proc., SPE Reservoir Simulation Symposium, Houston, Texas, USA, 14-17 February. SPE-51904-MSKozlova, A. Bratvedt, F. Bratvedt, K. and Myasnikov, A. 2006. A Three-Phase Compressible Dual-Porosity Model for Streamline Simulation. Proc., SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 24-27 September. SPE-102549-MSLigero, E. L. Maschio, C. and Schiozer, D. J. 2003. Quantifying the Impact of Grid Size, Upscaling, and Streamline Simulation in the Risk Analysis Applied to Petroleum Field Development. Proc., SPE Reservoir Simulation Symposium, Houston, Texas, USA, 3-5 February. SPE-79677-MSMaschio, C.and Schiozer, D. J. 2004. Integration of Streamline Simulation and Automatic History Matching. Proc., SPE Annual Technical Conference and Exhibition, Houston, Texas, USA, 26-29 September. SPE-89850-MSOsako, I. and Datta-Gupta, A. 2007. A Compositional Streamline Formulation With Compressibility Effects. Proc., SPE Reservoir Simulation Symposium, Houston, Texas, USA, 26-28 February. SPE-106148-MSPádua, K. G. O. 1997. Oil Composition Variation in a Large Deep Water Field. Proc., Latin American and Caribbean Petroleum Engineering Conference, Rio de Janeiro, Brazil, 30 August-3 September. SPE-38948-MSPádua, K.G.O., Nonisothermal Gravitational Composition Variation in a Large Deep-water Field (1999) SPEJ, 4 (2), pp. 109-117. , SPE-56407-PA Pollock, D.W., Semi-analytical Computation of Path Lines for Finite-Difference Models (1988) Ground Water, 26 (6), p. 743 Qi, R. Beraldo, V. T. La Force, T. and Blunt, M. J. 2007. Design of Carbon Dioxide Storage in a North Sea Aquifer Using Streamline-based Simulation. Proc., SPE Annual Technical Conference and Exhibition, Anaheim, California, USA, 11-14 November. SPE-109905-MSSamier, P. Quettier, L. and Thiele, M. R. 2002. A Applications of Streamline Simulators to Reservoir Studies. SPERE 5 (4): 324-332. SPE-78883-PAStenerud, V.R., Kippe, V., Lie, K.-A., Datta-Gupta, A., Adaptive Multiscale Streamline Simulation and Inversion for High-Resolution Geomodels (2008) SPEJ, 13 (1), pp. 99-111. , SPE-106228-PA Thiele, M. R. 2003. Streamline Simulation. Proc., 7th International Forum on Reservoir Simulation, Baden-Baden, Germany. 23-27 JuneThiele, M.R Batycky, R. P. and Blunt, M. J. 1997. A Streamline-Based 3D Field-Scale Compositional Reservoir Simulator. Proc., SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 5-8 October. SPE-388889-MSWenger, L. M. Davis, C. L. Isaksen, G. H. 2002. Multiple Controls on Petroleum Biodegradation and Impact on Oil Quality. SPERE 5(5): 375-383. SPE-80168-PA