• A Preliminary Study of Enhanced Predictability of Non-Parametric Geostatistical Simulation through History Matching Technique
  • Jeong, Jina;Paudyal, Pradeep;Park, Eungyu;
  • Department of Geology, Kyungpook National University;Department of Geology, Kyungpook National University;Department of Geology, Kyungpook National University;
  • 히스토리매칭 기법을 이용한 비모수 지구통계 모사 예측성능 향상 예비연구
  • 정진아;프라딥 포디얄;박은규;
  • 경북대학교 지질학과;경북대학교 지질학과;경북대학교 지질학과;
References
  • 1. Bear, J., 1972, Dynamics of fluids in porous media, American Elsevier Pub. Co., New York, 764p.
  •  
  • 2. Besag, J., 1986, On the Statistical analysis of dirty pictures, J. R. Statist. Soc., 48(3), 259-302.
  •  
  • 3. Carle, S.F. and Fogg, G.E., 1996, Transition probability-based indicator geostatistics, Math. Geol., 28, 453-477.
  •  
  • 4. Daily, W., Ramirez, A., LaBrecque, D. et al, 1992, Electrical resistivity tomography of vadose water movement, Water Resour. Res., 28(5), 1429-1992.
  •  
  • 5. Day-Lewis, F.D., 2000, Identifying fracture-zone geometry using simulated annealing and hydraulic-connection data, Water Resour. Res., 36(7), 1707-1721.
  •  
  • 6. Deutsch, C.V. and Journel, A.G., 1998, GSLIB: Geostatistical Software Library and User's Guide, 2nd edn., Oxford University Press., New York, 369 p.
  •  
  • 7. Doyen, P.M., 1988, Porosity from seismic data: A geostatistical Approach, Geophys., 53(10), 1263-1275.
  •  
  • 8. Doyen, P.M., Pasaila, D.E., and Strandenes, S., 1994, Bayesian sequential indicator simulation of channel sands form 3-D seismic data in the Oseberg field, Norwegian North Sea, SPE 69th Annual Technical Conference and Exhibition, SPE, New Orleans, 25-28.
  •  
  • 9. Ezzedine, S., Rubin, Y., and Chen, J., 1999, Bayesian method for hydrogeological site characterization using borehole and geophysical survey data: Theory and application to the Lawrence Livermore National Laboratory Superfund site, Water Resour. Res., 35(9), 2671-2683.
  •  
  • 10. Geman, S. and Geman, D., 1984, Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(6), 721-741.
  •  
  • 11. Han, Y., Park, C., and Kang, J., 2010, Multi-objective History Matching for Estimating the Individualized Performance of Multiple Production Wells, The Korean society for geosystem engineering, 47(5), 660-667.
  •  
  • 12. Heath, R.C., 1983, Basic Ground-Water Hydrology, U.S. Geological Survey, Reston, Virginia, 81p.
  •  
  • 13. Hill, M.C., Harbaugh, A.W., Banta, E.R., McDonald, M.G., MODFLOW-2000, 2000, The U.S. geological survey modular ground-water model-user guide to modularization concepts and the ground-water flow process, U.S. Geological Survey, Reston, Virginia, 113p.
  •  
  • 14. Hyndman, D.W., Harris, J.M., and Gorelick, S.M., 1994, Coupled seismic and tracer test inversion for aquifer property characterization, Water Resour. Res., 30(7), 1965-1977.
  •  
  • 15. Jung, S. and Choe, J., 2009, Improvement of Numerical Stability in History-matching Using Streamline Assisted Ensemble Kalman Filter, The Korean society for geosystem engineering, 46(4), 453-465.
  •  
  • 16. Kitanidis, P.K., 1995, Quasi-linear geostatistical theory for inversing, Water Resour. Res., 31(10), 2411-2419.
  •  
  • 17. Konikow L.F. and Bredehoeft, J.D., 1992, Ground-water models cannot be validated, Adv. Water Resour. Res., 15, 75-83.
  •  
  • 18. Mariethoz, G., Renard, P., and Caers, J., 2010, Bayesian inverse problem and optimization with iterative spatial resampling, Water Resour. Res., 46, W11530, doi:10.1029/2010WR009274.
  •  
  • 19. McKenna, S.A. and Poeter, E.P., 1995, Feild example of data fusion in site characterization, Water Resour. Res., 31(12), 3229- 3240.
  •  
  • 20. Park, E., 2010, A multidimensional generalized coupled Markov chain model for surface and subsurface characterization, Water Resour. Res., 46, W11509, doi:10.1029/2009WR008355.
  •  
  • 21. Pesti, G., Bogardi, I., Kelly, W.E. et al., 1993, Cokriging of geoelectric and well data to define aquifer properties, Groundwater, 31(6), 905-912.
  •  
  • 22. Sheng, Q., Moreau, Y., and De Moor, B., 2003, Biclustering microarray data by Gibbs sampling, Bioformatics, 19, 196-205, doi:10.1093/bioinformatics/btg1078
  •  
  • 23. Rogers, L., 1992, History matching to determine the retardation of PCE in ground water, Ground Water, 30(1), 50-60.
  •  
  • 24. Yeh, T.-C.J., Jin, M., and Hanna, S., 1996, An iterative stochastic inverse method: conditional effective transmissivity and hydraulic head fields, Water Resour. Res., 32(1), 85-92.
  •  

This Article

  • 2012; 17(5): 56-67

    Published on Oct 31, 2012

  • 10.7857/JSGE.2012.17.5.056
  • Received on Jul 27, 2012
  • Revised on Sep 3, 2012
  • Accepted on Sep 3, 2012

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