Abstract
The rapid development of parallel computers has provided a hardware background for massive refine reservoir simulation. However, the lack of parallel reservoir simulation software has blocked the application of parallel computers on reservoir simulation. Although a variety of parallel methods have been studied and applied to black oil, compositional, and chemical model numerical simulations, there has been limited parallel software available for reservoir simulation. Especially, the parallelization study of reservoir thermal recovery simulation has not been fully carried out, because of the complexity of its models and algorithms. The authors make use of the message passing interface (MPI) standard communication library, the domain decomposition method, the block Jacobi iteration algorithm, and the dynamic memory allocation technique to parallelize their serial thermal recovery simulation software NUMSIP, which is being used in petroleum industry in China. The parallel software PNUMSIP was tested on both IBM SP2 and Dawn 1000A distributed-memory parallel computers. The experiment results show that the parallelization of I/O has great effects on the efficiency of parallel software PNUMSIP; the data communication bandwidth is also an important factor, which has an influence on software efficiency.
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References
Briens, F. J. L., Wu, C. H., and Gazdag, J., Compositional reservoir simulation in parallel supercomputing environment, SPE Paper 21214, the 11th SPE Symp. on Reserv. Simul. in Anaheim, CA, February 17–20, 1997.
Bhogeswara, R. and Killough, J. E., Parallel linear solvers for reservoir simulation: A generic approach for existing and emerging computer architectures, SPE Paper 25240, Presented at the 12th SPE Symposium on Reservoir Simulation in New Orleans, LA, Feb. 28–March 3, 1993.
Chen, Zhangxin, Qin, G., and Ewing, R. E., Analysis of a compositional model for fluid flow in porous media, SIAM J. Appl. Math., to appear.
De Sturler, E., Incomplete block LU preconditioners on slightly overlapping subdomains for a massively parallel computer, Applied Numerical Mathematics 19 (1995) 129–146.
Dfaz, J. C. and Shenei, K., Domain decomposition and Schur complement approaches to coupling the well equations in reservoir simulation, SIAM J. SCI. Comput. 16 (1995), 29–39.
Ghori, S. G., Wang, C. H., and Lim, M. T., Compositional reservoir simulation on CM-5 and KSR-1 parallel machines, the SPE Paper 29110, Presented at the 13th SPE Symposium on Reservoir Simulation in San Antonio, TX, Feb. 12–15, 1995.
Killough, J. E., Camilleri, D., Darlow, B. L., and Foster, J. A., A parallel reservoir simulator based on local grid refinement, SPE Paper 37978, Presented at the 1997 Reservoir Simulation in Dallas, TX, June 1997.
Kokar, G. and Killaugh, J. E., An asynchronous parallel linear equation solution technique, SPE Paper 29142, Presented at the 13th SPE Symposium on Reserv. Simulation in San Antonio, TX, Feb. 12–15, 1995.
Killough, J. E. and Bhogeswara, R., Simulation of compositional reservoir phenomena on a distributed memory parallel computer, SPE Paper 21208, Presented at the 11th SPE Symposium on Reservoir Simulation held in Anheim, California, February 17–20, 1997.
Kortas, S. and Angot, P., A practical and portable model of programming for iterative solvers on distributed memory machine, Parallel Computing 22 (1996), 487–512.
Meijerink, J. A., Van Daolen, D. T., and Hoogerbrugge, D. J., Towards a more effective parallel reservoir simulator, SPE Paper 21212, the 11th SPE Symposium on Reserv. Simul. in Anaheim, CA, Feb. 17–20, 1997.
Naculand, U. E., and Lett, G. S., Under and over relaxation techniques for accelerating nonlinear domain decomposition method, SPE Paper 25244, Presented at the 12th SPE Symposium on Reservoir Simulation held in New Orleans, LA, U.S.A., February 28–March 3, 1993.
Notay, Y., An efficient parallel discrete PDE solver, Parallel Computing 21 (1995), 1725–1748.
Pommerell, C. and Fichter, W., Memory aspects and performance of iterative solvers, SIAM J. Sci. Comput. 15 (1994), 460–473.
Quenes, A., Weiss, W., and Sulten, A. J., Parallel reservoir automatic history matching using a network of workstations and PVM, the SPE Paper 29107, Presented at the 13th SPE Symposium on Reservoir Simulation held in San Antonio, TX, U.S.A., February 12–15, 1995.
Rame, M. and Delshad, M., A compositional reservoir simulation on distributed memory parallel computers, SPE Paper 29103, the 11th SPE Symp. on Reserv. Simul. in San Antonio, TX, Febr. 12–15, 1995.
Wallis, J. R., Foster, J. A., and Kendall, R. P., A new parallel iterative linear solution method for large-scale reservoir simulation, SPE Paper 21209, Presented at the 11th SPE Symposium on Reservoir Simulation held in Anaheim, California, February 17–20, 1997.
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Li, B., Ma, Y. (2000). Reservoir Thermal Recover Simulation on Parallel Computers. In: Chen, Z., Ewing, R.E., Shi, ZC. (eds) Numerical Treatment of Multiphase Flows in Porous Media. Lecture Notes in Physics, vol 552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45467-5_16
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DOI: https://doi.org/10.1007/3-540-45467-5_16
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