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Rapid updating of stochastic models by use of an ensemble-filter approach
Reza Tavakoli
,
Sanjay Srinivasan
, Mary F. Wheeler
John and Willie Leone Department of Energy & Mineral Engineering (EME)
Research output
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Contribution to journal
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Article
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peer-review
32
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Keyphrases
Stochastic Model
100%
Ensemble Kalman Filter (EnKF)
100%
Filter Approach
100%
Ensemble Filter
100%
Dissimilarity Matrix
50%
Multidimensional Scaling
50%
State Vector
50%
Two Dimensional
25%
Effective Method
25%
Reservoir Model
25%
Joint Distribution
25%
Classification Model
25%
Dynamic Response
25%
Filter Performance
25%
Dimension Space
25%
Data Assimilation
25%
Resampling
25%
Ensemble Member
25%
Water Flooding
25%
Combined Model
25%
Predicted Data
25%
Low-dimensional Space
25%
Multivariate Gaussian
25%
Updating Model
25%
Low Dimension
25%
Filtering Scheme
25%
Model Updating
25%
Channel Features
25%
Non-Gaussian Random Field
25%
Engineering
Kalman Filter
100%
Stochastic Model
100%
Gaussians
50%
Applicability
25%
Two Dimensional
25%
Random Field
25%
Measured Value
25%
Dimensional Space
25%
Dynamic Response
25%
Well Flooding
25%
Joint Distribution
25%
Computer Science
Stochastic Model
100%
Kalman Filter
100%
Multidimensional Scaling
50%
Dissimilarity Matrix
50%
Joint Distribution
25%
Effective Method
25%
Dimension Space
25%
Lower Dimensional Space
25%
Ensemble Member
25%
Mathematics
Stochastic Model
100%
Kalman Filtering
100%
Matrix (Mathematics)
50%
Prior State
50%
Gaussian Distribution
25%
Joint Distribution
25%
Dimensional Space
25%
Gaussian Random Field
25%