Markov-Chain Monte Carlo with Locally Varying Mean Kriging for Improved Reservoir Model Calibration and Uncertainty Assessment

Mapping Intimacies ◽

10.2118/180189-ms ◽

2016 ◽

Cited By ~ 1

Author(s):

Mohammadali Tarrahi ◽

Sardar Afra

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Model Calibration ◽

Uncertainty Assessment ◽

Reservoir Model

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Markov Chain Monte Carlo for Reservoir Uncertainty Assessment

10.2118/2003-084 ◽

2003 ◽

Cited By ~ 1

Author(s):

Y. Zhang ◽

S. Srinivasan

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Uncertainty Assessment

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A markov chain monte carlo method for inverse stochastic modeling and uncertainty assessment

10.4995/thesis/10251/1969 ◽

2008 ◽

Author(s):

JIANLIN FU

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Method ◽

Stochastic Modeling ◽

Uncertainty Assessment

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Uncertainty assessment and data worth in groundwater flow and mass transport modeling using a blocking Markov chain Monte Carlo method

Journal of Hydrology ◽

10.1016/j.jhydrol.2008.11.014 ◽

2009 ◽

Vol 364 (3-4) ◽

pp. 328-341 ◽

Cited By ~ 61

Author(s):

Jianlin Fu ◽

J. Jaime Gómez-Hernández

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Method ◽

Groundwater Flow ◽

Uncertainty Assessment ◽

Transport Modeling ◽

Mass Transport Modeling ◽

Data Worth ◽

Flow And Mass Transport

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Improvement and comparison of likelihood functions for model calibration and parameter uncertainty analysis within a Markov chain Monte Carlo scheme

Journal of Hydrology ◽

10.1016/j.jhydrol.2014.10.008 ◽

2014 ◽

Vol 519 ◽

pp. 2202-2214 ◽

Cited By ~ 29

Author(s):

Qin-Bo Cheng ◽

Xi Chen ◽

Chong-Yu Xu ◽

Christian Reinhardt-Imjela ◽

Achim Schulte

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Uncertainty Analysis ◽

Parameter Uncertainty ◽

Model Calibration ◽

Likelihood Functions ◽

Parameter Uncertainty Analysis

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A practical two-phase approach to improve the reliability and efficiency of Markov chain Monte Carlo directed hydrologic model calibration

10.21079/11681/35753 ◽

2020 ◽

Author(s):

Brian Skahill ◽

Jeffrey Baggett

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Model Calibration ◽

Hydrologic Model ◽

Two Phase ◽

Phase Approach ◽

Hydrologic Model Calibration

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Rainfall-runoff model calibration using informal likelihood measures within a Markov chain Monte Carlo sampling scheme

Water Resources Research ◽

10.1029/2008wr007288 ◽

2009 ◽

Vol 45 (4) ◽

Cited By ~ 50

Author(s):

Hilary McMillan ◽

Martyn Clark

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Model Calibration ◽

Monte Carlo Sampling ◽

Sampling Scheme ◽

Rainfall Runoff ◽

Rainfall Runoff Model ◽

Likelihood Measures ◽

Runoff Model

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Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov chain Monte Carlo sampling

Journal of Hydrology ◽

10.1016/j.jhydrol.2007.12.026 ◽

2008 ◽

Vol 353 (1-2) ◽

pp. 18-32 ◽

Cited By ~ 138

Author(s):

Roberta-Serena Blasone ◽

Henrik Madsen ◽

Dan Rosbjerg

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling ◽

Uncertainty Assessment ◽

Hydrological Models ◽

Distributed Hydrological Models

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Incorporating Spatial Correlation in a Markov Chain Monte Carlo Approach for Network Model Calibration

Impacts of Global Climate Change ◽

10.1061/40792(173)28 ◽

2005 ◽

Cited By ~ 3

Author(s):

D. L. Boccelli ◽

J. G. Uber

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Spatial Correlation ◽

Network Model ◽

Model Calibration ◽

Monte Carlo Approach

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Multiresponse multilayer vadose zone model calibration using Markov chain Monte Carlo simulation and field water retention data

Water Resources Research ◽

10.1029/2010wr009265 ◽

2011 ◽

Vol 47 (4) ◽

Cited By ~ 69

Author(s):

Thomas Wöhling ◽

Jasper A. Vrugt

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Vadose Zone ◽

Model Calibration ◽

Water Retention ◽

Zone Model ◽

Retention Data

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Application of Assisted History Matching Workflow to Shale Gas Well Using EDFM and Neural Network-Markov Chain Monte Carlo Algorithm

Proceedings of the 7th Unconventional Resources Technology Conference ◽

10.15530/urtec-2019-659 ◽

2019 ◽

Cited By ~ 5

Author(s):

Sutthaporn Tripoppoom ◽

Wei Yu ◽

Kamy Sepehrnoori ◽

Jijun Miao

Keyword(s):

Neural Network ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Shale Gas ◽

History Matching ◽

Monte Carlo Algorithm ◽

Gas Well ◽

Assisted History Matching

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