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

By Hai X. Vo, Louis J. Durlofsky. Mathematical Geosciences, 2014

121 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/925756a6ce9b57f35dfb72a9377e4f7a0026c12e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. Wenyue Sun
2. Louis J. Durlofsky
3. Jan Dirk Jansen

In Mechanics of Materials

1. Wenyue Sun
2. Louis J. Durlofsky

In Ocean Engineering

1. Wenyue Sun
2. Louis J. Durlofsky
3. Jan Dirk Jansen
4. S. McCoy

Citations in the corpus

• A New Data-Space Inversion Procedure for Efficient Uncertainty Quantification in Subsurface Flow Problems (2017, methodology): “The application of PCA to reparameterize reservoir model parameters has been discussed by many authors; see, e.g., Oliver (1996), Reynolds et al. (1996), Sarma et al. (2006) and Vo and Durlofsky (2014).”