Scheidt, Celine, Lewis Li, and Jef Caers. 2018. Quantifying Uncertainty in Subsurface Systems. American Geophysical Union - Wiley.

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Books & Book Chapters

### 2018

### Quantifying Uncertainty in Subsurface systems

### Quantifying uncertainty in subsurface systems

### 2017

### A Spectral Clustering Method for Large-Scale Geostatistical Datasets

### 2016

### Discovering Spatially Contiguous Clusters in Multivariate Geostatistical Data Through Spectral Clustering

### A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical Data

### 2015

### Value of Information in the Earth Sciences: Integrating Spatial Modeling and Decision Analysis

### 2014

### Multiple-point geostatistics: stochastic modeling with training images

### 2012

### Sequential Simulations of Mixed Discrete-Continuous Properties: Sequential Gaussian Mixture Simulation

### 2011

### Modeling Uncertainty in the Earth Sciences

### Derivative-free optimization for oil field operations

### 2010

### Modeling Uncertainty of Complex Earth Systems in Metric Space

### 2009

### The Rock Physics Handbook

Scheidt, Celine, Lewis Li, and Jef Caers. 2018. Quantifying Uncertainty in Subsurface Systems. American Geophysical Union - Wiley.

Scheidt, Celine, Lewis Li, and Jef Caers. 2018. Quantifying Uncertainty in Subsurface Systems. Washington, D.C. : American Geophysical Union ; Hoboken, NJ : John Wiley and Sons, Inc., 2018.

Fouedjio, Francky. 2017. A Spectral Clustering Method for Large-Scale Geostatistical Datasets. Machine Learning and Data Mining in Pattern Recognition. MLDM 2017. Vol. 10358. Lecture Notes in Computer Science. Springer.

Fouedjio, Francky. 2016. Discovering Spatially Contiguous Clusters in Multivariate Geostatistical Data Through Spectral Clustering. Advanced Data Mining and Applications. ADMA 2016. Vol. 10086. Lecture Notes in Computer Science. Springer.

Fouedjio, Francky. 2016. A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical Data. Machine Learning and Data Mining in Pattern Recognition. MLDM 2016. Vol. 9729. Lecture Notes in Computer Science. Springer.

Eidsvik, Jo, Tapan Mukerji, and Debarun Bhattacharjya. 2015. Value of Information in the Earth Sciences: Integrating Spatial Modeling and Decision Analysis. Cambridge University Press.

Mariethoz, Gregoire, and Jef Caers. 2014. Multiple-Point Geostatistics: Stochastic Modeling with Training Images. Wiley-Blackwell.

Grana, D., T. Mukerji, L. Dovera, E. Della Rossa, and P. Abrahamsen, et al. 2012. Sequential Simulations of Mixed Discrete-Continuous Properties: Sequential Gaussian Mixture Simulation. Edited by P. Abrahamsen, et al. Geostatistics Oslo 2012. Springer Science, Dordrecht.

Caers, J. 2011. Modeling Uncertainty in the Earth Sciences. Wiley-Blackwell.

EcheverrÃa Ciaurri, D., T. Mukerji, L. J. Durlofsky, X-S Yang, and S. Koziel. 2011. Derivative-Free Optimization for Oil Field Operations. Edited by X-S Yang and S. Koziel. Computational Optimization and Applications in Engineering and Industry. Springer-Verlag.

Caers, J., C. Scheidt, and K. Park. 2010. Modeling Uncertainty of Complex Earth Systems in Metric Space. Handbook of Geomathematics. Springer.

Mavko, G., T. Mukerji, and J. Dvorkin. 2009. The Rock Physics Handbook. Cambridge University Press.