A New Data-Space Inversion Procedure for Efficient Uncertainty Quantification in Subsurface Flow Problems

Direct forecasting of subsurface flow response from non-linear dynamic data by linear least-squares in canonical functional principal component space

(2015) Aaditya Satija et al.   ADVANCES IN WATER RESOURCES

Data assimilation and uncertainty assessment for complex geological models using a new PCA-based parameterization

(2015) Hai X. Vo et al.   COMPUTATIONAL GEOSCIENCES

Prediction-Focused Subsurface Modeling: Investigating the Need for Accuracy in Flow-Based Inverse Modeling

(2014) Céline Scheidt et al.   Mathematical Geosciences

A New Differentiable Parameterization Based on Principal Component Analysis for the Low-Dimensional Representation of Complex Geological Models

(2014) Hai X. Vo et al.   Mathematical Geosciences

Estimation of Mutual Information and Conditional Entropy for Surveillance Optimization

(2014) Duc H. Le et al.   SPE JOURNAL

History matching and uncertainty quantification of facies models with multiple geological interpretations

(2013) Hyucksoo Park et al.   COMPUTATIONAL GEOSCIENCES

Ensemble smoother with multiple data assimilation

(2012) Alexandre A. Emerick et al.   COMPUTERS & GEOSCIENCES

Recent progress on reservoir history matching: a review

(2010) Dean S. Oliver et al.   COMPUTATIONAL GEOSCIENCES

Ozone ensemble forecast with machine learning algorithms

(2009) Vivien Mallet et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Development and application of reduced-order modeling procedures for subsurface flow simulation

(2008) M. A. Cardoso et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Data assimilation for nonlinear problems by ensemble Kalman filter with reparameterization

(2008) Yan Chen et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING