An autonomic reservoir framework for the stochastic optimization of well placement

Cluster Computing

Volumn 8, Issue 4, 2005, Pages 255-269

  Bangerth, Wolfgang ^a   Klie, Hector ^a   Matossian, Vincent ^b   Parashar, Manish ^b   Wheeler, Mary Fanett ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Autonomic Grid middleware; Grid computing; Optimal well placement; Reservoir management; Stochastic optimization

Indexed keywords

EID: 33244474426     PISSN: 13867857     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10586-005-4093-3     Document Type: Article

References (32)

1. T. Arbogast, M.F. Wheeler and I. Yotov, Mixed finite elements for elliptic problems with tensor coefficients as cell-centered finite differences, SIAM J. Numer. Anal 34(2) (1997) 828-852.
2. K. Aziz and A. Settari, Petroleum Reservoir Simulation (Applied Science Publishers Ltd., London, 1979).
3. V. Bhat and M. Parashar, Discover middleware substrate for integrating services on the grid, in: Proceedings of the 10th International Conference on High Performance Computing (HiPC 2003), eds. T.M. Pinkston and V.K. Prasanna, volume 2913 of Lecture Notes in Computer Science, Springer-Verlag, (Dec. 2003) pp. 373-382.
4. A.C. Bittencourt and R.N. Horne, Reservoir development and design optimization, in: SPE Annual Technical Conference and Exhibition, San Antonio, Texas, (Oct. 1997) SPE 38895.
5. G. Chavent and J. Jaffre, Mathematical Models and Finite Elements for Reservoir Simulation (North-Holland, Amsterdam, 1986).
6. I. Foster and C. Kesselman, (eds.), Globus: A Toolkit Based Grid Architecture, Morgan Kaufman, (1999) pp. 259-278.
7. I. Foster and C. Kesselman, The Grid 2: Blueprint for a New Computing Infrastructure (Morgan Kaufman, 2004).
8. B. Guyaguler and R.N. Horne, Uncertainty assessment of well placement optimization, in: SPE Annual Technical Conference and Exhibition (New Orleans, Louisiana, September, 2001). SPE 71625.
9. R. Helmig, Multiphase Flow and Transport Processes in the Subsurface (Springer, 1997).
10. IPARS: Integrated Parallel Reservoir Simulator, http://www.ices.utexas.edu/CSM
11. S. Lacroix, Y. Vassilevski and M.F. Wheeler, Iterative solvers of the implicit parallel accurate reservoir simulator (IPARS), Numerical Linear Algebra with Applications 4 (2001) 537-549.
12. H. Liu and M. Parashar, DIOS++: A framework for rule-based autonomic management of distributed scientific applications, in: Proceedings of the 9th International Euro-Par Conference (Euro-Par 2003), eds. H. Kosch, L. Boszormenyi and H. Hellwagner, volume 2790 of Lecture Notes in Computer Science, Springer Verlag (2003), pp. 66-73.
13. Q. Lu, M. Peszyńska and M.F. Wheeler, A parallel multi-block black-oil model in multi-model implementation, SPE Journal 7(3) (2002) 278-287, SPE 79535.
14. V. Mann, V. Matossian, R. Muralidhar and M. Parashar, DISCOVER: An environment for Web-based interaction and steering of high-performance scientific applications, Concurrency and Computation: Practice and Experience 13(8/9) (2001) 737-754.
15. V. Matossian, V. Bhat, M. Parashar, M. Peszynska, M. Sen, P. Stoffa and M.F. Wheeler, Concurrency and Computation: Practice and Experience, John Wiley and Sons, Vol. 17, Issue 1, pp. 1-26, 2005.
16. R. Muralidhar and M. Parashar, A distributed object infrastructure for interaction and steering, Concurrency and Computation: Practice and Experience 15(10) (2003) 957-977.
17. Y. Pan and R.N. Horne, Improved methods for multivariate optimization of field development scheduling and well placement design, in: SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, (Sept. 1998) pp. 27-30. SPE 49055.
18. M. Parashar, G. von Laszewski, S. Verma, K. Keahey J. Gawor and N. Rehn, A CORBA commodity grid kit, Special Issue on Grid Computing Environments, Concurrency and Computation: Practice and Experience 14 (2002) 1057-1074.
19. M. Parashar, J.A. Wheeler, G. Pope, K. Wang and P. Wang, A new generation EOS compositional reservoir simulator, Part II: Framework and multiprocessing, in: Fourteenth SPE Symposium on Reservoir Simulation, Dallas, Texas, Society of Petroleum Engineers (June 1997) pp. 31-38.
20. D.W. Peaceman, Fundamentals of Numerical Reservoir Simulation, 1st edition (Elsevier Scientfic Publishing Company, Amsterdam-Oxford-New York, 1977).
21. M. Peszyńska, Q. Lu and M.F. Wheeler, Multiphysics coupling of codes, in: Computational Methods in Water Resources, eds., L.R. Bentley, J.F. Sykes, C.A. Brebbia, W.G. Gray and G.F. Pinder, A. A. Balkema (2000) pp. 175-182.
22. Project JXTA: http://www.jxta.org, 2001.
23. T.F. Russell and M.F. Wheeler, Finite element and finite difference methods for continuous flows in porous media, in: The Mathematics of Reservoir Simulation, ed., R.E. Ewing, SIAM, Philadelphia (1983) pp. 35-106.
24. M. Sen and P. Stoffa, Global Optimization Methods in Geophysical Inversion (Elsevier, 1995).
25. J.C. Spall, Multivariate stochastic approximation using a simultaneous perturbation gradient approximation, IEEE Trans. Autom. Control 37 (1992) 332-341.
26. J.C. Spall, Adaptive stochastic approximation by the simulateous perturbation method, IEEE Trans. Autom. Contr 45 (2000) 1839-1853.
27. J.C. Spall, Introduction to Stochastic Search and Optimization: Estimation, Simulation and Control, Inc., Publication, John Wiley & Sons, New Jersey (2003).
28. P. Wang, I. Yotov, M.F. Wheeler, T. Arbogast, C.N. Dawson, M. Parashar and K. Sepehrnoori, A new generation EOS compositional reservoir simulator. Part I: Formulation and discretization, in: Fourteenth SPE Symposium on Reservoir Simulation, Dallas, Texas, Society of Petroleum Engineers (June 1997) pp. 55-64.
29. M.F. Wheeler and M. Peszyńska, Computational engineering and science methodologies for modeling and simulation of subsurface applications, Advances in Water Resources, in press.
30. M.F. Wheeler, M. Peszyńska, X. Gai and O. El-Domeiri, Modeling subsurface flow on PC cluster, in: High Performance Computing, ed. A. Tentner, SCS (2000) pp. 318-323.
31. M.F. Wheeler, J.A. Wheeler and M. Peszyńska, A distributed computing portal for coupling multi-physics and multiple domains in porous media, in: Computational Methods in Water Resources, (eds.), L.R. Bentley, J.F. Sykes, C.A. Brebbia, W.G. Gray, and G.F. Pinder, A. A. Balkema, (2000) pp. 167-174.
32. B. Yeten, L.J. Durlofsky and K. Aziz, Optimization of nonconventional well type, location, and trajectory, SPE Journal 8(3) (2003) 200-210. SPE 86880.