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An exhaustive list of publications is available on Google Scholar. Below is a list of what I would consider the most important contributions over the last few years, as well as recent software and code based on these papers.

 

 

Books

 

Multiple-point Geostatistics: Stochastic Modeling with Training Images (co-authored with Gregoire Mariethoz), Dec 2014. Wiley-Blackwell

 

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

 

Petroleum Geostatistics, 2005, Society of Petroleum Engineers.

 

 

Selected Papers

 

Mahmud, K., Mariethoz, G., Caers, J., Tahmasebi, P., Baker, A., 2014. Simulating of earth textures by conditional image quilting. Water Resources Research. DOI 10.1002/2013WR015069

 

Jung, A., Fenwick, D. & Caers, J, 2013. Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification. Computational Geosciences, 2013. DOI 10.1007/s10596-013-9372-0

 

Park, H., Celine, C., Fenwick, D., Boucher, A. and Caers, J. (2013). History matching and uncertainty quantification of facies models with multiple geological interpretation, Computational Geosciences, 2013, DOI 10.1007/s10596-013-9343-5

 

Cherpeau N., Caumon G., Caers J. and Lévy, B., 2012. Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data, Mathematical Geosciences, Volume 44, Number 2, 147-168, DOI: 10.1007/s11004-012-9389-2

 

Mariethoz G, Renard P, Caers, J. 2010, Bayesian inverse problem and optimization with iterative spatial resampling, Water Resources Research, vol. 46, W11530, doi:10.1029/2010WR009274, 2010.

 

Honarkhah, M and Caers, J, 2010, Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling, Mathematical Geosciences, 42: 487 - 517 (best paper award IAMG 09). doi:10.1007/s11004-010-9276-7

 

Michaels, H., Gorelick, S., Sun, T. Li, H, Boucher, A and Caers, J., 2009, Combining geologic-process models and geostatistics for conditional simulation of 3-D subsurface heterogeneity. Water Resources Research, 46, W05527, doi 10.1029/2009WR008414.

 

Castro, S., Caers, J, Otterlei, C., Meisingset, H., Hoye T., Gomel, P. and Zachariassen E., 2009. Incorporating 4D seismic data into reservoir models while honoring production and geological information: a case study. The Leading Edge, 28: 1498-1505. (top 10 presentations AAPG Long Beach, 2007). doi:10.1190/1.3272706

 

Scheidt C. and Caers J., 2008, A new method for uncertainty quantification using distances and kernel methods: application to a deepwater turbidite reservoir. SPE J, 14 (4): 680-692. doi:10.2118/118740-PA

 

Suzuki, S and Caers, J., 2008, A Distance-Based Prior Model Parameterization for Constraining Solutions of Spatial Inverse Problems. Mathematical Geosciences, v40, no. 4, 445-469. 10.1007/s11004-008-9154-8

 

Suzuki, S. Caumon, G. and Caers, J. 2008, Dynamic Data Integration Into Structural Modeling: Model Screening Approach Using a Distance-based Model Parameterization, Computational Geosciences, 105119. doi:10.1007/s10596-007-9063-9

 

Arpat, B. and Caers, J. 2007, Conditional simulation with patterns. Mathematical Geology, v39, no2, 177-203. (best paper award 2007). doi:10.1007/s11004-006-9075-3

 

Caers, J. and Hoffman, T., 2006, The probability perturbation method: a new look at Bayesian inverse modeling. Math. Geol., v 38, no 1, p 81-100. doi:10.1007/s11004-005-9005-9

 

Software

 

I use github for code distribution, version control and collaboration, please visit https://github.com/SCRFpublic