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Volumn 2, Issue , 2011, Pages 913-929

Uncertainty quantification in history matching of channelized reservoirs using Markov Chain level set approaches

Author keywords

[No Author keywords available]

Indexed keywords

EQUATIONS OF MOTION; MARKOV PROCESSES; MONTE CARLO METHODS; NUMERICAL METHODS; PARAMETERIZATION; RESERVOIR MANAGEMENT; TRANSPIRATION; UNCERTAINTY ANALYSIS; VELOCITY;

EID: 79957913856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/141811-ms     Document Type: Conference Paper
Times cited : (17)

References (21)
  • 1
    • 33645291279 scopus 로고    scopus 로고
    • Multiple-Point Geostatistics: A Quantitative Vehicle for Integrating Geologic Analogs into Multiple Reservoir Models
    • Caers, J. and Zhang, T. 2004. Multiple-Point Geostatistics: A Quantitative Vehicle for Integrating Geologic Analogs into Multiple Reservoir Models. AAPG Memoir 80: 383-394.
    • (2004) AAPG Memoir , vol.80 , pp. 383-394
    • Caers, J.1    Zhang, T.2
  • 2
    • 77955519053 scopus 로고    scopus 로고
    • History Matching of Facies Distribution with the Enkf and Level Set Parameterization
    • Chang, H., Zhang, D., and Lu, Z. 2010. History Matching of Facies Distribution with the Enkf and Level Set Parameterization. J. Comput. Phys. 229 (20): 8011-8030.
    • (2010) J. Comput. Phys. , vol.229 , Issue.20 , pp. 8011-8030
    • Chang, H.1    Zhang, D.2    Lu, Z.3
  • 3
    • 0030434565 scopus 로고    scopus 로고
    • Hierarchical Object-Based Stochastic Modeling of Fluvial Reservoirs
    • Deutsch, C. and Wang, L. 1996. Hierarchical Object-Based Stochastic Modeling of Fluvial Reservoirs. Mathematical Geology 28 (7): 857-880.
    • (1996) Mathematical Geology , vol.28 , Issue.7 , pp. 857-880
    • Deutsch, C.1    Wang, L.2
  • 4
    • 0036573032 scopus 로고    scopus 로고
    • FLUVSIM: A program for object-based stochastic modeling of fluvial depositional systems
    • DOI 10.1016/S0098-3004(01)00075-9, PII S0098300401000759
    • Deutsch, C.V. and Tran, T.T. 2002. Fluvsim: A Program for Object-Based Stochastic Modeling of Fluvial Depositional Systems. Computers & Geosciences 28 (4): 525-535. (Pubitemid 34577639)
    • (2002) Computers and Geosciences , vol.28 , Issue.4 , pp. 525-535
    • Deutsch, C.V.1    Tran, T.T.2
  • 5
    • 2142757314 scopus 로고    scopus 로고
    • Continuing Education Course Note Series. Tulsa, OK: The American Association of Petroleum Geologists
    • Dubrule, O. 1998. Geostatistics in Petroleum Geology. Continuing Education Course Note Series. Tulsa, OK: The American Association of Petroleum Geologists.
    • (1998) Geostatistics in Petroleum Geology
    • Dubrule, O.1
  • 7
    • 77956890234 scopus 로고
    • Monte Carlo Sampling Methods Using Markov Chains and Their Applications
    • Hastings, W.K. 1970. Monte Carlo Sampling Methods Using Markov Chains and Their Applications. Biometrika 57 (1): 97-109.
    • (1970) Biometrika , vol.57 , Issue.1 , pp. 97-109
    • Hastings, W.K.1
  • 8
    • 64949124599 scopus 로고    scopus 로고
    • Reservoir Characterization with the Discrete Cosine Transform. Part 1: Parameterization Part 2: History Matching
    • 106453-PA
    • Jafarpour, B. and McLaughlin, D.B. 2009. Reservoir Characterization with the Discrete Cosine Transform. Part 1: Parameterization Part 2: History Matching. SPE Journal 14 (1): pp. 182-201. 106453-PA.
    • (2009) SPE Journal , vol.14 , Issue.1 , pp. 182-201
    • Jafarpour, B.1    McLaughlin, D.B.2
  • 9
    • 0029659514 scopus 로고    scopus 로고
    • Heterogeneity in Sedimentary Deposits: A Review of Structure-Imitating, Process-Imitating, and Descriptive Approaches
    • Koltermann, C.E. and Gorelick, S.M. 1996. Heterogeneity in Sedimentary Deposits: A Review of Structure-Imitating, Process-Imitating, and Descriptive Approaches. Water Resour. Res. 32 (9): 2617-2658.
    • (1996) Water Resour. Res. , vol.32 , Issue.9 , pp. 2617-2658
    • Koltermann, C.E.1    Gorelick, S.M.2
  • 11
    • 42549157976 scopus 로고    scopus 로고
    • An Efficient Two-Stage Sampling Method for Uncertainty Quantification in History Matching Geological Models
    • 102476-PA
    • Ma, X., Al-Harbi, M., Datta-Gupta, A. et al. 2008. An Efficient Two-Stage Sampling Method for Uncertainty Quantification in History Matching Geological Models. SPE Journal 13 (1): pp. 77-87. 102476-PA.
    • (2008) SPE Journal , vol.13 , Issue.1 , pp. 77-87
    • Ma, X.1    Al-Harbi, M.2    Datta-Gupta, A.3
  • 13
    • 77954259242 scopus 로고    scopus 로고
    • Bayesian Uncertainty Quantification for Flows in Heterogeneous Porous Media Using Reversible Jump Markov Chain Monte Carlo Methods
    • Mondal, A., Efendiev, Y., Mallick, B. et al. 2010. Bayesian Uncertainty Quantification for Flows in Heterogeneous Porous Media Using Reversible Jump Markov Chain Monte Carlo Methods. Advances in Water Resources 33 (3): 241-256.
    • (2010) Advances in Water Resources , vol.33 , Issue.3 , pp. 241-256
    • Mondal, A.1    Efendiev, Y.2    Mallick, B.3
  • 16
    • 44749084234 scopus 로고
    • Fronts Propagating with Curvature-Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations
    • Osher, S. and Sethian, J.A. 1988. Fronts Propagating with Curvature-Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations. J. Comput. Phys. 79 (1): 12-49.
    • (1988) J. Comput. Phys. , vol.79 , Issue.1 , pp. 12-49
    • Osher, S.1    Sethian, J.A.2
  • 20
    • 0020100417 scopus 로고
    • Influence of Common Sedimentary Structures on Fluid Flow in Reservoir Models
    • 9247-PA
    • Weber, K.J. 1982. Influence of Common Sedimentary Structures on Fluid Flow in Reservoir Models. SPE Journal of Petroleum Technology 34 (3): 665-672. 9247-PA.
    • (1982) SPE Journal of Petroleum Technology , vol.34 , Issue.3 , pp. 665-672
    • Weber, K.J.1
  • 21
    • 77954264566 scopus 로고    scopus 로고
    • History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods
    • Paper presented at the Society of Petroleum Engineers 129685-MS
    • Xie, J., Mondal, A., Efendiev, Y. et al. 2010. History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods. Paper presented at the SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA. Society of Petroleum Engineers 129685-MS.
    • (2010) SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA
    • Xie, J.1    Mondal, A.2    Efendiev, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.