Toward an optimal ensemble of kernel-based approximations with engineering applications

Structural and Multidisciplinary Optimization

Volumn 36, Issue 3, 2008, Pages 247-261

  Sanchez, Egar ^a   Pintos, Salvador ^a   Queipo, Nestor V ^a  

^a UNIVERSIDAD DEL ZULIA   (Venezuela)

Author keywords

Kernel based approximation; Optimal ensemble; Surrogate based modeling

Indexed keywords

FORECASTING; OIL WELL PRODUCTION; OIL WELL TESTING; SURFACE ACTIVE AGENTS; TECHNOLOGY; THERMAL OIL RECOVERY;

A-PRIORI; ENGINEERING APPLICATIONS; ENHANCED OIL RECOVERY PROCESSES; GENERAL APPROACH; KERNEL-BASED APPROXIMATION; LOCAL PREDICTION; LOSS FUNCTIONS; MODEL SELECTIONS; OPTIMAL ENSEMBLE; OPTIMAL SELECTION; SURROGATE-BASED MODELING; TEST FUNCTIONS; WEIGHTED AVERAGING;

ENHANCED RECOVERY;

EID: 49049096322     PISSN: 1615147X     EISSN: 16151488     Source Type: Journal    
DOI: 10.1007/s00158-007-0159-6     Document Type: Article

References (48)

1. Balabanov VO, Haftka RT, Grossman B, Mason WH, Watson LT (1998) Multidisciplinary response model for HSCT wing bending material weight. In: 7th AIAA/ USAF/NASA/ISSMO symposium on multidisciplinary analysis and optimization, St. Louis, MO, AIAA Paper 98-4804
2. Bishop C (1995) Neural networks for pattern recognition. Oxford University Press, Oxford
3. M Bourrel JL Salager RS Schechter WH Wade 1980 A correlation for phase behavior of nonionic surfactants J Colloid Interface Sci 75 2 451 461
4. ST Buckland KP Burnham NH Augustin 1997 Model selection: an integral part of inference Biometrics 53 275 290
5. Carrero E, Queipo N, Pintos S, Zerpa L (2007) Global sensibility analysis of asp enhanced oil recovery process. J Pet Sci Eng doi: 10.1016/j.petrol.2006. 11.007
6. V Cherkassky Y Ma 2003 Comparison of model selection for regression Neural Comput 15 1691 1714
7. V Cherkassky Y Ma 2004 Practical selection of SVM parameters and noise estimation for SVM regression Neural Netw 17 1 113 126
8. V Cherkassky X Shao F Mulier V Vapnik 1999 Model complexity control for regression using VC generalization bounds IEEE Trans Neural Netw 10 5 1075 1089
9. SM Clarke JH Griebsch TW Simpson 2005 Analysis of support vector regression for approximation of complex engineering analyses ASME J Mech Des 127 6 1077 1087
10. Craig KJ, Stander N, Dooge DA, Varadappa S (2002) MDO of automotive vehicles for crashworthiness using response surface methods. In: 9th AIAA/ISSMO symposium on multidisciplinary analysis and optimization, Atlanta, GA, AIAA Paper 2002-5607
11. Dosher TM, Wise FA (1976) Enhanced oil recovery potential: an estimate. J Pet Technol, p 575, Paper SPE 5800
12. Engelsen S, Lake LW, Lin EC, Ohno T, Pope GA, Camilleri D, Sepehrnoori K (1987) Description of an improved compositional micellar/polymer simulator. Paper SPE 13967, SPE Reserv Eng 427-432
13. F Girosi 1998 An equivalence between sparse approximation and support vector machines Neural Comput 10 6 1455 1480
14. AA Giunta V Balabanov B Grossman S Burgee RT Haftka WH Mason LT Watson 1997 Multidisciplinary optimization of a supersonic transport using design of experiments theory and response surface modelling Aeronaut J 101 1008 347 356
15. T Goel RT Haftka W Shyy NV Queipo 2007 Ensemble of surrogates Struct Multidisc Optim 33 3 199 216
16. Gunn SR (1998) Matlab support vector machine toolbox. http://www.isis.ecs.soton.ac.uk/isystems/kernel (Mar)
17. Hernández C, Chacón L, Anselmi L, Baldonedo A, Qi J, Phillip C, Pitts MJ (2001) ASP system design for an offshore application in the La Salina Field, Lake Maracaibo. In: SPE latin american and caribbean petroleum engineering conference, Buenos Aires, Argentina, Paper SPE 69544, March 2001
18. J Hoeting D Madigan A Raftery CT Volinsky 1999 Bayesian model averaging: a tutorial Stat Sci 14 4 382 417
19. R Jin W Chen TW Simpson 2001 Comparative studies of metamodelling techniques under multiple modelling criteria Struct Multidisc Optim 23 1 1 13
20. RE Kass AE Raftery 1995 Bayes factors J Am Stat Assoc 90 773 795
21. A Krogh P Sollich 1997 Statistical Mechanics of Ensemble Learning Phys Rev E 55 1 811 825
22. H Kurtaran A Eskandarian D Marzougui NE Bedewi 2002 Crashworthiness design optimization using successive response surface approximations Comput Mech 29 409 421
23. Lake LW (1989) Enhanced oil recovery. Prentice Hall, Englewood Cliffs, NJ
24. Lake LW, Bhuyan D, Pope GA (1990) Mathematical modelling of high-ph chemical flooding. SPE Paper 17398, SPE Reserv Eng 213-220
25. Li W, Padula S (2004) Approximation methods for conceptual design of complex systems. In: Schumaker L, Chui C, Neaumtu M (eds) Eleventh international conference on approximation theory, May 2004
26. D Madigan AE Raftery 1994 Model selection and accounting for model uncertainty in graphic models using Occam's window J Am Stat Assoc 89 1535 1546
27. Manrique E, De Carvajal G, Anselmi L, Romero C, Chacón L (2000) Alkali/Surfactant/Polymer at VLA 6/9/21 field in Maracaibo Lake: experimental results and pilot project design. In: SPE/DOE improved oil recovery symposium, Tulsa, OK, Paper SPE 59363, April 2000
28. JD Martin TW Simpson 2005 On the use of kriging models to approximate deterministic computer models AIAA J 43 4 853 863
29. K Müller S Mika G Rätsch K Tsuda B Schölkopf 2001 An introduction to kernel-based learning algorithms IEEE Trans Neural Netw 12 2 181 201
30. Perrone M (1994) General averaging results for convex optimization. In: Mozer MC et al. (ed) Proceedings of the 1993 connectionist models summer school. Erlbaum, Hillsdale, NJ
31. Perrone M, Cooper L (1993) When networks disagree: ensemble methods for hybrid neural networks. In: Mammone RJ (ed) Artificial neural networks for speech and vision. Chapman & Hall, FL, pp 126-142
32. T Poggio S Smale 2003 The mathematics of learning: dealing with data Not Am Math Soc 50 5 537 544
33. Pope GA, Nelson RC (1978) A chemical flooding compositional simulator. Paper SPE 6725, Soc Pet Eng J, p 18
34. Qi Q, Hongjun G, Dongwen L, Ling D (2000) The pilot test of ASP combination flooding in Karamay oil field. In: SPE international oil and gas conference an exhibition, Beijing, China, Paper SPE 64726, November 2000
35. NV Queipo R Haftka W Shyy T Goel R Vaidyanathan P Kevin Tucker 2005 Surrogate-based analysis and optimization J Progress Aerospace Sci 41 1 28
36. NV Queipo J Goicochea S Pintos 2002 Surrogate modeling-based optimization of SAGD processes J Pet Sci Eng 35 1-2 83 93
37. NV Queipo A Verde J Canelón S Pintos 2002 Efficient global optimization of hydraulic fracturing designs J Pet Sci Eng 35 3-4 151 166
38. JL Salager 1996 Quantifying the concept of physico-chemical formulation in surfactant-oil-water systems-state of the art Progr Colloid Polym Sci 100 137 142
39. JL Salager M Bourrel RS Schechter WH Wade 1979a Mixing rules for optimum phase behavior formulation of surfactant-oil-water systems Soc Pet Eng J 19 271 278
40. JL Salager J Morgan RS Schechter WH Wade E Vasquez 1979b Optimum formulation of surfactant-oil-water systems for minimum tension and phase behavior Soc Pet Eng J 19 107 115
41. Schölkopf B, Smola AJ (2002) Learning with kernels. MIT Press, Cambridge, MA
42. TW Simpson JD Peplinski PN Koch JK Allen 2001 Metamodels for computer based engineering design: survey and recommendations Eng Comput 17 2 129 150
43. UTCHEM-9.0. (2000) Utchem-9.0 a three-dimensional chemical flood simulator. http://www.cpge.utexas.edu/utchem/ (Jul)
44. Vapnik V (1998) Statistical learning theory. Wiley, New York
45. Wahba G (2000) An introduction to model building with reproducing kernel Hilbert spaces. Technical Report 1020, University of Wisconsin-Madison Statistics Department (Apr)
46. Wei-Ju W (1996) Optimum design of field-scale chemical flooding using reservoir simulation. PhD thesis, The University of Texas at Austin, TX
47. L Zerpa NV Queipo S Pintos J Salager 2005 An optimization methodology of alkaline-surfactant-polymer flooding processes using field scale numerical simulation and multiple surrogates J Pet Sci Eng 47 197 208
48. Zhijian Q, Yigen Z, Xiansong Z, Jialin D (1998) A successful ASP flooding in gudong oil field. In: SPE/DOE Improved Oil Recovery Symposium, Tulsa, OK, Paper SPE 39613, April 1998