Skip to content
Skip to navigation
## WebAuth Login

# Jef Caers

##

## Group

Professor of Energy Resources Engineering

Internet Links:

Document Links:

Most engineering fields have three elements in common: definition, quantification and optimization. One defines fundamental axioms and laws (mathematics/physics), quantifies variables through experiments and data collection and optimizes an engineering system based on these quantities. When tackling the problem of engineering the subsurface, whether for groundwater management, oil & gas production or CO2 sequestration we encounter the same common elements. Critical to this is the management of uncertainty, simply because of the lack of access to exhaustively quantify the subsurface medium, the fluids it contains and how they behave under human-induced changes. The Energy Industry is basically an industry that manages uncertainty and makes decisions within this context; one important component in such decision making is subsurface uncertainty. If the reservoir were completely known, reservoir production would simply be a systems control problem. In my research, I strive for a global approach to this problem, going from geology, geophysics to reservoir engineering and decision making, simply because I believe that tackling sub-problems fails to address the complete picture of “uncertainty” and leads to sub-optimal decisions. My research is decision-focused and fit-for-purpose; quantifying uncertainty for the sake of uncertainty is an unmanageable problem. In that regard, I strongly emphasize collaboration on real field data with industry partners.

Research

My work concerns all that involves the theory and application of spatial stochastic modeling in the Earth sciences. I am more interested in general methodologies, algorithms and workflows than in specific applications. I work with students and faculty colleagues across the school to help them apply tools such as geostatistics, uncertainty quantification and prediction to their fields of interest. My own students are mostly working in the area of reservoir description and modeling (both oil/gas and water). My students build 3D/4D models that provide a description of the spatial/temporal variation of subsurface rock properties and fluids as well as quantify uncertainty. In order to accomplish this, we have developed new frameworks that can treat the wealth of geological, geophysical, and reservoir engineering data as well as treat effectively and efficiently the large computational problems associated with modern modeling and prediction challenges.

Teaching

I teach Modeling Uncertainty in the Earth Sciences, Introduction to Geostatistics, Optimization, Inverse Modeling, Seismic Data Integration, Geostatistics for Spatial Phenomena, and Statistical Methods in Earth and Environmental Sciences.

Professional Activities

Editor-in-Chief, Computers and Geosciences, 2011-present; Associate Editor, Mathematical Geosciences, 2007-11; Chair, IAMG Conference, 2009; Executive Council Member, International Geostatistics Congress, 2004-12; Council Member, International Association of Mathematical Geosciences, 2008-12, Chair, Awards Committee, IAMG, 2008-12

Research

My work concerns all that involves the theory and application of spatial stochastic modeling in the Earth sciences. I am more interested in general methodologies, algorithms and workflows than in specific applications. I work with students and faculty colleagues across the school to help them apply tools such as geostatistics, uncertainty quantification and prediction to their fields of interest. My own students are mostly working in the area of reservoir description and modeling (both oil/gas and water). My students build 3D/4D models that provide a description of the spatial/temporal variation of subsurface rock properties and fluids as well as quantify uncertainty. In order to accomplish this, we have developed new frameworks that can treat the wealth of geological, geophysical, and reservoir engineering data as well as treat effectively and efficiently the large computational problems associated with modern modeling and prediction challenges.

Teaching

I teach Modeling Uncertainty in the Earth Sciences, Introduction to Geostatistics, Optimization, Inverse Modeling, Seismic Data Integration, Geostatistics for Spatial Phenomena, and Statistical Methods in Earth and Environmental Sciences.

Professional Activities

Editor-in-Chief, Computers and Geosciences, 2011-present; Associate Editor, Mathematical Geosciences, 2007-11; Chair, IAMG Conference, 2009; Executive Council Member, International Geostatistics Congress, 2004-12; Council Member, International Association of Mathematical Geosciences, 2008-12, Chair, Awards Committee, IAMG, 2008-12

2014-15

- Geostatistics

ENERGY 240, GES 240 (Spr) - Modeling Uncertainty in the Earth Sciences

ENERGY 160, ENERGY 260 (Win)

Independent Study Courses

- Advanced Research Work in Energy Resources Engineering

ENERGY 360 (Aut, Win, Spr, Sum) ENERGY 360 (Aut, Win, Spr, Sum) - Directed Individual Study in Environment and Resources

ENVRES 398 (Aut, Win, Spr, Sum) ENVRES 398 (Aut, Win, Spr, Sum) - Directed Research in Environment and Resources

ENVRES 399 (Aut, Win, Spr, Sum) ENVRES 399 (Aut, Win, Spr, Sum) - Doctoral Degree Research in Energy Resources Engineering

ENERGY 363 (Aut, Win, Spr, Sum) ENERGY 363 (Aut, Win, Spr, Sum) - Doctoral Report on Energy Industry Training

ENERGY 355 (Sum) ENERGY 355 (Sum) - Engineer's Degree Research in Energy Resources Engineering

ENERGY 362 (Aut, Win, Spr, Sum) ENERGY 362 (Aut, Win, Spr, Sum) - Master's Degree Research in Energy Resources Engineering

ENERGY 361 (Aut, Win, Spr, Sum) ENERGY 361 (Aut, Win, Spr, Sum) - Master's Report on Energy Industry Training

ENERGY 255 (Sum) ENERGY 255 (Sum) - Ph.D. Qualifying Tutorial

ENVRES 410 (Aut, Win, Spr, Sum) ENVRES 410 (Aut, Win, Spr, Sum) - Research in Earth, Energy, and Environmental Sciences

EEES 400 (Aut, Spr, Sum) EEES 400 (Aut, Spr, Sum) - Special Research Topics in Energy Resources Engineering

ENERGY 365 (Aut, Win, Spr, Sum) ENERGY 365 (Aut, Win, Spr, Sum) - Undergraduate Report on Energy Industry Training

ENERGY 155 (Win, Spr, Sum) ENERGY 155 (Win, Spr, Sum) - Undergraduate Research Problems

ENERGY 193 (Aut, Win, Spr) ENERGY 193 (Aut, Win, Spr)

2013-14

- Geostatistics

ENERGY 240, GES 240 (Spr) - Modeling Uncertainty in the Earth Sciences

ENERGY 160, ENERGY 260 (Win) - Optimization and Inverse Modeling

ENERGY 284 (Aut) - Reservoir Characterization and Flow Modeling with Outcrop Data

ENERGY 146, ENERGY 246, GES 246 (Aut)

Independent Study Courses

- Advanced Research Work in Energy Resources Engineering

ENERGY 360 (Aut, Win, Spr, Sum) ENERGY 360 (Aut, Win, Spr, Sum) - Directed Individual Study in Environment and Resources

ENVRES 398 (Aut, Win, Spr, Sum) ENVRES 398 (Aut, Win, Spr, Sum) - Directed Research in Environment and Resources

ENVRES 399 (Aut, Win, Spr, Sum) ENVRES 399 (Aut, Win, Spr, Sum) - Doctoral Degree Research in Energy Resources Engineering

ENERGY 363 (Aut, Win, Spr, Sum) ENERGY 363 (Aut, Win, Spr, Sum) - Doctoral Report on Energy Industry Training

ENERGY 355 (Sum) ENERGY 355 (Sum) - Engineer's Degree Research in Energy Resources Engineering

ENERGY 362 (Aut, Win, Spr, Sum) ENERGY 362 (Aut, Win, Spr, Sum) - Master's Degree Research in Energy Resources Engineering

ENERGY 361 (Aut, Win, Spr, Sum) ENERGY 361 (Aut, Win, Spr, Sum) - Master's Report on Energy Industry Training

ENERGY 255 (Sum) ENERGY 255 (Sum) - Ph.D. Qualifying Tutorial

ENVRES 410 (Aut, Win, Spr, Sum) ENVRES 410 (Aut, Win, Spr, Sum) - Research in Earth, Energy, and Environmental Sciences

EEES 400 (Aut, Spr, Sum) EEES 400 (Aut, Spr, Sum) - Special Research Topics in Energy Resources Engineering

ENERGY 365 (Aut, Win, Spr, Sum) ENERGY 365 (Aut, Win, Spr, Sum) - Undergraduate Report on Energy Industry Training

ENERGY 155 (Win, Spr, Sum) ENERGY 155 (Win, Spr, Sum) - Undergraduate Research Problems

ENERGY 193 (Aut, Win, Spr) ENERGY 193 (Aut, Win, Spr)

2012-13

- Geostatistics

ENERGY 240, GES 240 (Spr) - Modeling Uncertainty in the Earth Sciences

ENERGY 160, ENERGY 260 (Win)

Independent Study Courses

- Advanced Research Work in Energy Resources Engineering

ENERGY 360 (Aut, Win, Spr, Sum) ENERGY 360 (Aut, Win, Spr, Sum) - Directed Individual Study in Environment and Resources

ENVRES 398 (Aut, Win, Spr, Sum) ENVRES 398 (Aut, Win, Spr, Sum) - Directed Research in Environment and Resources

ENVRES 399 (Aut, Win, Spr, Sum) ENVRES 399 (Aut, Win, Spr, Sum) - Doctoral Degree Research in Energy Resources Engineering

ENERGY 363 (Aut, Win, Spr, Sum) ENERGY 363 (Aut, Win, Spr, Sum) - Doctoral Report on Energy Industry Training

ENERGY 355 (Sum) ENERGY 355 (Sum) - Engineer's Degree Research in Energy Resources Engineering

ENERGY 362 (Aut, Win, Spr, Sum) ENERGY 362 (Aut, Win, Spr, Sum) - Master's Degree Research in Energy Resources Engineering

ENERGY 361 (Aut, Win, Spr, Sum) ENERGY 361 (Aut, Win, Spr, Sum) - Master's Report on Energy Industry Training

ENERGY 255 (Sum) ENERGY 255 (Sum) - Ph.D. Qualifying Tutorial

ENVRES 410 (Aut, Win, Spr, Sum) ENVRES 410 (Aut, Win, Spr, Sum) - Research in Earth, Energy, and Environmental Sciences

EEES 400 (Aut, Spr, Sum) EEES 400 (Aut, Spr, Sum) - Senior Project and Seminar in Energy Resources

ENERGY 199 (Spr) ENERGY 199 (Spr) - Special Research Topics in Energy Resources Engineering

ENERGY 365 (Aut, Win, Spr, Sum) ENERGY 365 (Aut, Win, Spr, Sum) - Undergraduate Report on Energy Industry Training

ENERGY 155 (Win, Spr, Sum) ENERGY 155 (Win, Spr, Sum) - Undergraduate Research Problems

ENERGY 193 (Aut, Win, Spr) ENERGY 193 (Aut, Win, Spr)

2011-12

- Modeling Uncertainty in the Earth Sciences

ENERGY 160, ENERGY 260 (Win) - Optimization and Inverse Modeling

ENERGY 284 (Aut)

Independent Study Courses

- Advanced Research Work in Energy Resources Engineering

ENERGY 360 (Aut, Win, Spr, Sum) ENERGY 360 (Aut, Win, Spr, Sum) - Directed Individual Study in Environment and Resources

ENVRES 398 (Aut, Win, Spr, Sum) ENVRES 398 (Aut, Win, Spr, Sum) - Directed Research in Environment and Resources

ENVRES 399 (Aut, Win, Spr, Sum) ENVRES 399 (Aut, Win, Spr, Sum) - Doctoral Degree Research in Energy Resources Engineering

ENERGY 363 (Aut, Win, Spr, Sum) ENERGY 363 (Aut, Win, Spr, Sum) - Doctoral Report on Energy Industry Training

ENERGY 355 (Sum) ENERGY 355 (Sum) - Engineer's Degree Research in Energy Resources Engineering

ENERGY 362 (Aut, Win, Spr, Sum) ENERGY 362 (Aut, Win, Spr, Sum) - Master's Degree Research in Energy Resources Engineering

ENERGY 361 (Aut, Win, Spr, Sum) ENERGY 361 (Aut, Win, Spr, Sum) - Master's Report on Energy Industry Training

ENERGY 255 (Sum) ENERGY 255 (Sum) - Ph.D. Qualifying Tutorial

ENVRES 410 (Aut, Win, Spr, Sum) ENVRES 410 (Aut, Win, Spr, Sum) - Research in Earth, Energy, and Environmental Sciences

EEES 400 (Aut, Spr, Sum) EEES 400 (Aut, Spr, Sum) - Senior Project and Seminar in Energy Resources

ENERGY 199 (Spr) ENERGY 199 (Spr) - Special Research Topics in Energy Resources Engineering

ENERGY 365 (Aut, Win, Spr, Sum) ENERGY 365 (Aut, Win, Spr, Sum) - Undergraduate Report on Energy Industry Training

ENERGY 155 (Win, Spr, Sum) ENERGY 155 (Win, Spr, Sum) - Undergraduate Research Problems

ENERGY 193 (Aut, Win, Spr) ENERGY 193 (Aut, Win, Spr)

- Tahmasebi, P., Sahimi, M., & Caers, J. (2014). MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space.
*COMPUTERS & GEOSCIENCES*,*67*, 75-88. - Fenwick, D., Scheidt, C., & Caers, J. (2014). Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir Modeling.
*MATHEMATICAL GEOSCIENCES*,*46*(4), 493-511. - Mahmud, K., Mariethoz, G., Caers, J., Tahmasebi, P., & Baker, A. (2014). Simulation of Earth textures by conditional image quilting.
*WATER RESOURCES RESEARCH*,*50*(4), 3088-3107. - Tan, X., Tahmasebi, P., & Caers, J. (2014). Comparing Training-Image Based Algorithms Using an Analysis of Distance.
*MATHEMATICAL GEOSCIENCES*,*46*(2), 149-169. - Mariethoz, G., & Caers, J. (2014).
*Multiple-point geostatistics: stochastic modeling with training images*. Wiley-Blackwell. - Li, L., Boucher, A., & Caers, J. (2014). SGEMS-UQ: An uncertainty quantification toolkit for SGEMS.
*COMPUTERS & GEOSCIENCES*,*62*, 12-24. - Scheidt, C., Renard, P., & Caers, J. (2014). (submitted) Uncertainty Quantification in Inverse Problems: Model-Based versus Prediction-Focused Inversion.
*Mathematical Geosciences*. - Jung, A., Fenwick, D. H., & Caers, J. (2013). Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification.
*COMPUTATIONAL GEOSCIENCES*,*17*(6), 1015-1031. - Bertoncello, A., Sun, T., Li, H., Mariethoz, G., & Caers, J. (2013). Conditioning Surface-Based Geological Models to Well and Thickness Data.
*MATHEMATICAL GEOSCIENCES*,*45*(7), 873-893. - Park, H., Scheidt, C., Fenwick, D., Boucher, A., & Caers, J. (2013). History matching and uncertainty quantification of facies models with multiple geological interpretations.
*COMPUTATIONAL GEOSCIENCES*,*17*(4), 609-621. - Aydin, O., & Caers, J. (2013). Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling.
*COMPUTATIONAL GEOSCIENCES*,*17*(2), 417-429. - Caers, J. (2013). A special issue on benchmark problems, datasets and methodologies for the computational geosciences.
*COMPUTERS & GEOSCIENCES*,*50*, 1-3. - Pejman, T., & Caers, J. (2013). Fast multiple point geostatistical simulation using a multi-scale approach. Presented at the IAMG 2013, Madrid, Sept 2-6, 2013.
- Gerritsen, M., & Caers, J. (2013). Modeling Spatial and Structural Uncertainty in the Subsurface Computational Challenges in the Geosciences .
*Institute for Mathematics and its Applications, The IMA Volumes in Mathematics and its Applications*,*156*. - Mahmud, K., Tahmasebi, P., Mariethoz, G., Caers, J., & Baker, A. (2013). Simulation of Earth textures by Conditional Image Quilting.
*Water Resources Research*. - Tan, X., Tahmasebi, P., & Caers, J. (2013). Comparing training-image based algorithms using an analysis of distance.
*Mathematical Geosciences*. - Hermans, T., Caers, J., & Nguyen, F. (2013). Assessing the probability of training image-based geological scenarios using geophysical data. Presented at the IAMG 2013 .
- Li, L., & Caers, J. (2013). Possibility as a complement to probability in quantifying geological scenario uncertainty: a deep-water reservoir case study. Presented at the IAMG 2013 .
- Jung, A., Fenwick, D., & Caers, J. (2013). Updating of uncertainty in fractured reservoirs driven by geological scenarios. Presented at the IAMG 2013 .
- Aydin, O., & Caers, J. (2013). Learning Needed Complexity in Structural Modeling Using Procrustes Analysis. Presented at the IAMG 2013.
- Scheidt, C., Fenwick, D., & Caers, J. (2013). A distance-based generalized sensitivity analysis for energy resources modeling. Presented at the IAMG 2013.
- Li, L., Boucher, A., & Caers, J. (2013). SGEMS-UQ: An Uncertainty Quantification Toolkit for SGEMS.
*Computers & Geosciences*. - Tan, X., Tahmasebi, P., & Caers, J. (2013). A quantitative comparison of multiple-point algorithms using an analysis of distance method. Presented at the IAMG 2013.
- Jeong, C., Scheidt, C., Caers, J., & Mukerji, T. (2013). Modeling Geological Scenario Uncertainty from Seismic Data using Pattern Similarity. Presented at the IAMG 2013.
- Xu, S., Jung, A., Mukerji, T., & Caers, J. (2013). Use of Tank Experiment Data In Surface-based Modeling. Presented at the IAMG 2013.
- Jung, A., Fenwick, D., & Caers, J. (2013). Updating uncertainty in the conceptual geological representation of fractured reservoirs using production data. Presented at the 75th EAGE Conference & Exhibition.
- Jung, A., Fenwick, D., & Caers, J. (2013). Training-image based scenario modeling of fractured reservoir for flow uncertainty quantification.
*Computational Geosciences*. - Hermans, T., Scheidt, C., Caers, J., & Nguyen, F. (2013). Probability perturbation applied to the use of groundwater flow models in HydroGeoSphere. Presented at the 3rd International HydroGeoSphere User Conference.
- Honarkhah, M., & Caers, J. (2012). Direct Pattern-Based Simulation of Non-stationary Geostatistical Models.
*MATHEMATICAL GEOSCIENCES*,*44*(6), 651-672. - Cherpeau, N., Caumon, G., Caers, J., & Levy, B. (2012). Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data.
*MATHEMATICAL GEOSCIENCES*,*44*(2), 147-168. - Honarkhah, M., & Caers, J. (2012). Direct non-stationary multiple-point modeling by distance-based pattern simulation. Presented at the 9th International Geostatistics Congress.
- Park, H., & Caers, J. (2012). History matching under uncertain geological scenario. Presented at the 9th International Geostatistics Congress.
- Aydin, O., & Caers, J. (2012). Transformation spaces for determining spatial model complexity. Presented at the 9th International Geostatistics Congres.
- Caers, J. (2012). Data inversion under geological scenario uncertainty.
*SEG Technical Program Expanded Abstracts*,*2012*, 1-2. Presented at the SEG Technical Program . - Caers, J. (2012). On internal consistency, conditioning and models of uncertainty. Presented at the 9th International Geostatistics Congress.
- Renard, P., Straubhaar, J., Caers, J., & Mariethoz, G. (2011). Conditioning Facies Simulations with Connectivity Data.
*MATHEMATICAL GEOSCIENCES*,*43*(8), 879-903. - Trainor-Guitton, W. J., Caers, J. K., & Mukerji, T. (2011). A Methodology for Establishing a Data Reliability Measure for Value of Spatial Information Problems.
*MATHEMATICAL GEOSCIENCES*,*43*(8), 929-949. - Fu, J., Caers, J., & Tchelepi, H. A. (2011). A multiscale method for subsurface inverse modeling: Single-phase transient flow.
*ADVANCES IN WATER RESOURCES*,*34*(8), 967-979. - Scheidt, C., Caers, J., Chen, Y., & Durlofsky, L. J. (2011). A multi-resolution workflow to generate high-resolution models constrained to dynamic data.
*COMPUTATIONAL GEOSCIENCES*,*15*(3), 545-563. - Li, H., & Caers, J. (2011). Geological modelling and history matching of multi-scale flow barriers in channelized reservoirs: methodology and application.
*PETROLEUM GEOSCIENCE*,*17*(1), 17-34. - Caers, J. (2011).
*Modeling Uncertainty in the Earth Sciences*. Wiley-Blackwell. - Cherpeau, N., Caumon, G., Caers, J., & Levy, B. (2011). Topological uncertainties in structural geology and assimilation of dynamic data: parametrization and sampling.
*Water Resources Research*. - Caers, J., Park, K., & Scheidt, C. (2011). Distance-based sampling of posterior distributions in spatial inverse problems. Presented at the IAMG 2011.
- Caers, J., & Scheidt, C. (2011). Integration of engineering and geological uncertainty for reservoir performance prediction using a distance-based approach.
*AAPG Memoir on Modeling Geological Uncertainty*. - Cherpeau, N., Caumon, G., Caers, J., & Lévy, B. (2011). Assessing the impact of fault connectivity uncertainty in reservoir studies using explicit discretization. Presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition.
- Mariethoz, G., Renard, P., & Caers, J. (2010). Bayesian inverse problem and optimization with iterative spatial resampling.
*WATER RESOURCES RESEARCH*,*46*. - Alpak, F. O., Barton, M. D., & Caers, J. (2010). A flow-based pattern recognition algorithm for rapid quantification of geologic uncertainty.
*COMPUTATIONAL GEOSCIENCES*,*14*(4), 603-621. - Caers, J. (2010). Special Issue on Computational Methods for the Earth, Energy and Environment-IAMG 2009.
*MATHEMATICAL GEOSCIENCES*,*42*(5), 453-455. - Caers, J. (2010). Laudatio Guillaume Caumon, Vistelius Award 2009.
*MATHEMATICAL GEOSCIENCES*,*42*(5), 595-596. - Honarkhah, M., & Caers, J. (2010). Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling.
*MATHEMATICAL GEOSCIENCES*,*42*(5), 487-517. - Fu, J., Tchelepi, H. A., & Caers, J. (2010). A multiscale adjoint method to compute sensitivity coefficients for flow in heterogeneous porous media.
*ADVANCES IN WATER RESOURCES*,*33*(6), 698-709. - Michael, H. A., Li, H., Boucher, A., Sun, T., Caers, J., & Gorelick, S. M. (2010). Combining geologic-process models and geostatistics for conditional simulation of 3-D subsurface heterogeneity.
*WATER RESOURCES RESEARCH*,*46*. - Scheidt, C., & Caers, J. (2010). Bootstrap confidence intervals for reservoir model selection techniques.
*COMPUTATIONAL GEOSCIENCES*,*14*(2), 369-382. - Park, K., & Caers, J. (2010). Sampling Multiple Non-Gaussian Model Realizations Constrained to Static and Highly Nonlinear Dynamic Data Using distance-based Techniques. Presented at the IAMG 2010 Annual Conference.
- Trainor-Guitton, W. J., Caers, J. K., Mukerji, T., & Knight, R. (2010). Value of Information Methodology for Dynamic, Spatial Earth Problems.
*Water Resources Research*. - Caers, J., Scheidt, C., & Park, K. (2010).
*Modeling Uncertainty of Complex Earth Systems in Metric Space*.*Handbook of Geomathematics*(865-889). Springer. - Scheidt, C., & Caers, J. (2009). Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods-Application to a West Africa Deepwater Turbidite Reservoir.
*SPE JOURNAL*,*14*(4), 680-692. - Scheidt, C., & Caers, J. (2009). Representing Spatial Uncertainty Using Distances and Kernels.
*MATHEMATICAL GEOSCIENCES*,*41*(4), 397-419. - Castro, S., Otterlei, C., Meisinget, H., Hoye, T., Gomel, P., & Caers, J. (2009). Incorporating 4D seismic data into reservoir models while honoring production and geologic data.
*The Leading Edge*,*28*. - Li, T., & Caers, J. (2008). Solving spatial inverse problems using the probability perturbation method: An S-GEMS implementation.
*COMPUTERS & GEOSCIENCES*,*34*(9), 1127-1141. - Ronayne, M. J., Gorelick, S. M., & Caers, J. (2008). Identifying discrete geologic structures that produce anomalous hydraulic response: An inverse modeling approach.
*WATER RESOURCES RESEARCH*,*44*(8). - Suzuki, S., & Caers, J. (2008). A distance-based prior model parameterization for constraining solutions of spatial inverse problems.
*MATHEMATICAL GEOSCIENCES*,*40*(4), 445-469. - Suzuki, S., Caumon, G., & Caers, J. (2008). Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization.
*COMPUTATIONAL GEOSCIENCES*,*12*(1), 105-119. - Caers, J., & Park, K. (2008). Distance-based Representation of Reservoir Uncertainty: the Metric EnKF. Presented at the Proceedings of the 11th European Conference on the Mathematics of Oil Recover (ECMOR XI).
- Renard, P. H., & Caers, J. (2008). Conditioning facies simulations with connectivity data. Presented at the 8th International Geostatistical Congress, Santiago, Chile, Dec. 1-5, 2008.
- Park, K., Schiedt, C., & Caers, J. (2008). Ensemble Kalman Filtering in Distance-based Kernel Space. Presented at the EnKF Workshop.
- Trainor, W., Caers, J., Mukerji, T., Auken, E., & Knight, R. (2008). Assessing the Value of Information of Geophysical Data for Groundwater Management.
*Eos Transactions*. Presented at the AGU Fall Meeting . - Park, K., Schiedt, C., & Caers, J. (2008). Simultaneous Conditioning of Multiple Non-Gaussian Geostatistical Models to Highly Nonlinear Data Using Distances in Kernel Space. Presented at the 8th International Geostatistical Congress.
- Fadaei, S., Thiele, M., & Caers, J. (2008). Streamline Assisted History Matching of Naturally Fractured Reservoirs Using the Probability Perturbation Method. Presented at the 8th International Geostatistical Congress.
- Caers, J. (2008). Distance-based random field models and their applications. Presented at the 8th International Geostatistical Congress.
- Castro, S., Caers, J., Meisingset, H., Høye, T., Gomel, P., & Zachariassen, E. (2008). Comparison of Probabilistic and Forward Modeling Workflow Approaches for Integrating 4D Seismic into Reservoir Models: Application to a North Sea Reservoir. Presented at the 70th EAGE Conference & Exhibition .
- Johansen, K., Caers, J., & Suzuki, S. (2007). Hybridization of the probability perturbation method with gradient information.
*COMPUTATIONAL GEOSCIENCES*,*11*(4), 319-331. - Hoffman, B. T., & Caers, J. (2007). History matching by jointly perturbing local facies proportions and their spatial distribution: Application to a North Sea reservoir.
*JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING*,*57*(3-4), 257-272. - Suzuki, S., Daly, C., Caers, J., & Mueller, D. (2007). History matching of naturally fractured reservoirs using elastic stress simulation and probability perturbation method.
*SPE JOURNAL*,*12*(1), 118-129. - Arpat, G. B., & Caers, J. (2007). Conditional simulation with patterns.
*MATHEMATICAL GEOLOGY*,*39*(2), 177-203. - Caers, J. (2007). Comparing the gradual deformation with the probability perturbation method for solving inverse problems.
*MATHEMATICAL GEOLOGY*,*39*(1), 27-52. - Li, H., & Caers, J. (2007). Hierarchical modeling of multi-scale flow barriers in channelized reservoirs.
*PROCEEDINGS OF THE IAMG '07: GEOMATHEMATICS AND GIS ANALYSIS OF RESOURCES, ENVIRONMENT AND HAZARDS*, 381-385. - Li, T., & Caers, J. (2007). Solving spatial inverse problems using the probability perturbation method: an S-GEMS implementation.
*PROCEEDINGS OF THE IAMG '07: GEOMATHEMATICS AND GIS ANALYSIS OF RESOURCES, ENVIRONMENT AND HAZARDS*, 727-729. - Caers, J., & Castro, S. (2007). A geostatistical approach to integrating data from multiple and diverse sources: An application to the integration of well data, geological information, 3d/4d geophysical and reservoir-dynamics data in a north-sea reservoir.
*Subsurface Hydrology: Data Integration for Properties and Processes*,*171*. - Johansen, K., & Caers, J. (2007). Hybridization of the probability perturbation method with gradient information.
*Computational Geosciences*. Presented at the EAGE Petroleum Geostatistics conference. - Stright, L., Caers, J., Li, H., Van der Vlugt, F., Pirmez, C., & Barton, M. (2007). Modeling, Upscaling and History Matching Thin, Irregularly-Shaped Flow Barriers; A Comprehensive Approach for Predicting Reservoir Connectivity. Presented at the 26th Annual GCSSEPM Foundation Meeting.
- Park, K., & Caers, J. (2007). History matching in low-dimensional connectivity vector space. Presented at the EAGE Petroleum Geostatistics conference.
- Trainor, W. J., Knight, R. J., & Caers, J. K. (2007). Multiple-Point Geostatistics and Near-Surface Geophysics for Modeling Heterogeneity in a Coastal Aquifer.
*Eos Transactions*. Presented at the AGU Fall Meeting Supplement. - Arpat, B., & Caers, J. (2007). Stochastic simulation with patterns.
*Mathematical Geology*,*39*(2). - Hongmei, L., & Caers, J. (2007). A Workflow for Modeling Multi-scale Flow Barriers in Deep Water Turbidite Reservoirs. Presented at the AAPG Annual meeting.
- Li, H., & Caers, J. (2007). Hierarchic Modeling and History Matching of Multiscale Flow Barriers in Channelized Reservoirs. Presented at the SPE Annual Technical Conference and Exhibition.
- Suzuki, S., Carmon, G., & Caers, J. (2007). History matching of reservoir structure subject to prior geological and geophysical constraints. Presented at the EAGE Petroleum Geostatistics Conference.
- Hoffman, B. T., Caers, J. K., Wen, X.-H., & Strebelle, S. (2006). A practical data-integration approach to history matching: Application to a deepwater reservoir.
*SPE JOURNAL*,*11*(4), 464-479. - Feyen, L., & Caers, J. (2006). Quantifying geological uncertainty for flow and transport modeling in multi-modal heterogeneous formations.
*ADVANCES IN WATER RESOURCES*,*29*(6), 912-929. - Stright, L., Caers, J., Li, H., Van der Vlugt, F., Pirmez, C., C., & Barton, M., M. (2006). Coupled Geological Modeling and History Matching of Fine-Scale Curvilinear Flow Barriers. Presented at the EAGE 10th European Conference on the Mathematics of Oil Recovery.
- Castro, S., Caers, J., & Durlofsky, L. (2006). Improved modeling of 4D seismic response using flow-based downscaling of coarse grid saturations. Presented at the ECMOR X .
- Castro, S., & Caers, J. (2006). A probabilistic approach to integration of well log, geological information, 3D/4D seismic and production data. Presented at the ECMOR X .
- Castro, S., Caers, J., Otterlei, C., Høye, T., Andersen, T., & Gomel, P. (2006). A Probabilistic Integration of Well Log, Geological Information, 3D/4D Seismic, and Production Data: Application to the Oseberg Field. Presented at the SPE Annual Meeting.
- Caers, J., Hoffman, B. T., Strebelle, S., & Wen, X.-H. (2006). Probabilistic integration of geological information, seismic and production data.
*The Leading Edge*,*25*. - Suzuki, S., & Caers, J. (2006). History Matching with an Uncertain Geological Scenario. Presented at the SPE Annual Technical Conference and Exhibition.
- Caers, J., & Hoffman, T. (2006). The probability perturbation method: a new look at Bayesian inverse modeling.
*Mathematical Geology*,*38*. - Stright, L., & Caers, J. (2006). Preserving Fine-Scale, Irregularly-Shaped Geological Features in Reservoir Flow Models Using Edge Properties.
*Abstracts American Association of Petroleum Geologists Annual Convention*. Presented at the American Association of Petroleum Geologists Annual Convention . - Suzuki, S., & Caers, J. (2006). Discrete Space Optimization Method for History Matching under Uncertain Geological Scenario. Presented at the 10th European Conference on the Mathematics of Oil Recovery (ECMOR X).
- Tureyen, O. I., & Caers, J. (2005). A parallel, multiscale approach to reservoir modeling.
*COMPUTATIONAL GEOSCIENCES*,*9*(2-3), 75-98. - Hoffman, B. T., & Caers, J. (2005). Regional probability perturbations for history matching.
*JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING*,*46*(1-2), 53-71. - Caers, J., Gross, H., & Kovscek, A. R. (2005). A direct sequential simulation approach to streamline-based history matching.
*GEOSTATISTICS BANFF 2004, VOLS 1 AND 2*,*14*, 1077-1086. - Voelker, J., & Caers, J. A. (2005). A combined geostatistical and source model to predict super-permeability from flowmeter data: application to the Ghawar field.
*Quantitative Geology and Geostatistics Volume*,*14*. - Li, H. M., Arpat, B. G., & Caers, J. (2005). A new multiple-grid method for multiple-scale stochastic Simulation with Patterns.
*GIS AND SPATIAL ANALYSIS, VOL 1AND 2*, 633-638. - Hoffman, B. T., & Caers, J. (2005). History matching under geological control: Application to a North Sea reservoir.
*GEOSTATISTICS BANFF 2004, VOLS 1 AND 2*,*14*, 1067-1076. - Arpat, B. G., & Caers, J. A. (2005).
*Data conditioning with the probability perturbation method*. (O. Leuangthong & C. Deutsch, Eds.)*Quantitative Geology and Geostatistics*(255-264). Dordrecht Springer. - Caers, J. (2005).
*Petroleum Geostatistics*. Society of Petroleum Engineers. - Suzuki, S., Daly, C., Mueller, D., & Caers, J. (2005). History Matching of Naturally Fractured Reservoirs Using Elastic Stress Simulation and Probability Perturbation Method. Presented at the SPE ATCE Dallas, TX.
- Fenwick, D., Thiele, M., Agil, M., Hussain, A., Humam, F., & Caers, J. (2005). Reconciling Prior Geologic Information With Production Data Using Streamlines: Application to a Giant Middle-Eastern Oil Field. Presented at the SPE ATCE.
- Hongmei, L., Arpat, B. G., & Caers, J. (2005). A new multiple-grid method for multiple-scale stochastic simulation with patterns.
*Proceedings of the 2005 Annual conference of the International Association for Mathematical Geology*. Presented at the 2005 Annual conference of the International Association for Mathematical Geology. - Hoffman, T. B., Strebelle, S., Wen, X.-H., & Caers, J. (2005). Geologically Consistent History Matching of a Deepwater Turbidite Reservoir. Presented at the SPE ATCE.
- Castro, S., & Caers, J. (2005). Flow-based downscaling of saturations for modeling 4D seismic data. Presented at the 75th SEG meeting.
- Arpat, G. B., & Caers, J. (2005). A multiple-scale, pattern-based approach to sequential simulation.
*GEOSTATISTICS BANFF 2004, VOLS 1 AND 2*,*14*, 255-264. - Feyen, L., & Caers, J. (2005). Multiple-point geostatistics: a powerful tool to improve groundwater flow and transport predictions in multi-modal formations.
*GEOSTATISTICS FOR ENVIRONMENTAL APPLICATIONS, PROCEEDINGS*, 197-207. - Xu, Y., Caers, J., & Arroyo-Garcia, C. (2004). Automatic geobody detection from seismic data using minimum message length clustering.
*COMPUTERS & GEOSCIENCES*,*30*(7), 741-751. - Hoffman, B. T., & Caers, J. (2004). History Matching with the Regional Probability Perturbation Method in Applications to a North Sea Reservoir. Presented at the ECMOR IX.
- Hoffman, B. T., & Caers, J. (2004). Geostatistical history matching using the regional probability perturbation method. Presented at the Society of Petroleum Engineers Annual Conference and Technical Exhibition.
- Gross, H., Thiele, M. R., Alexa, M., Caers, J. K., & Kovscek, A. R. (2004). Streamline-Based History Matching Using Geostatistical Constraints: Application to a Giant, Mature Carbonate Reservoir. Presented at the SPE ATCE.
- Caers, J. (2004). The probability perturbation method: an alternative to traditional Bayesian approaches for solving inverse problems. Presented at the ECMOR IX.
- Caumon, G., Strebelle, S. B., Caers, J. K., & Journel, A. G. (2004). Assessment of Global Uncertainty for Early Appraisal of Hydrocarbon Fields. Presented at the Society of Petroleum Engineers ATCE.
- Arpat, B. G., & Caers, J. (2004). Reservoir Characterization Using Multiple-Scale Geological Patterns. Presented at the ECMOR IX.
- Moysey, S., Caers, J., Knight, R., & Allen-King, R. M. (2003). Stochastic estimation of facies using ground penetrating radar data.
*STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT*,*17*(5), 306-318. - Strebelle, S., Payrazyan, K., & Caers, J. (2003). Modeling of a deepwater turbidite reservoir conditional to seismic data using principal component analysis and multiple-point geostatistics.
*SPE JOURNAL*,*8*(3), 227-235. - Caers, J. (2003). History matching under training-image-based geological model constraints.
*SPE JOURNAL*,*8*(3), 218-226. - Caers, J. (2003). Efficient gradual deformation using a streamline-based proxy method.
*JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING*,*39*(1-2), 57-83. - Moysey, S., Knight, R., Allen-King, R. M., & Caers, J. (2003). The construction of stochastic facies-based models conditioned to ground penetrating radar images.
*CALIBRATION AND RELIABILITY IN GROUNDWATER MODELLING: A FEW STEPS CLOSER TO REALITY*, (277), 395-401. - Caers, J., Arpat, G. B., Arroyo-Garcia, C., & Coburn, C. T. (2003).
*Feature-based probabilistic interpretation of geobodies from seismic*.*Stochastic Modeling II*. American Association of Petroleum Geologist. - Caers, J. (2003).
*From pattern recognition to pattern reproduction*.*Developments in Petroleum Science*(97-115). Elsevier. - Caers, J., & Srinivasan, S. (2003).
*Combining geological information with seismic and production data*.*Developments in Petroleum Science*(499-525). Elsevier. - Younis, R., & Caers, J. (2003). A method for static-based upgridding. Presented at the ECMOR VII, European Conference on Mathematics of Oil Recovery.
- Hoffman, B. T., & Caers, J. (2003). Sequential Simulation under local non-linear constraints: Application to history matching. Presented at the Annual conference of the Internation Association for Mathematical Geology.
- Voelker, J. J., Liu, J., & Caers, J. (2003). A geostatistical method for characterizing superpermeability from flowmeter data: Application to the Ghawar field. Presented at the Society of Petroleum Engineers Annual Conference and Technical Exhibition.
- Caers, J., Strebelle, S., & Payrazyan, K. (2003). Stochastic integration of seismic and geological scenarios: a submarine channgel saga.
*The Leading Edge*. - Tureyen, O. I., & Caers, J. (2003). A two level optimization method for integrating production data on non-uniform grids. Presented at the SPE Annual Conference and Technical Exhibition.
- Caers, J. (2003). History matching under a training image-based geological model constraints.
*SPE Journal*. - Remy, N., Shtuka, A., Levy, B., & Caers, J. (2002). G(S)TL: the geostatistical template library in C++.
*COMPUTERS & GEOSCIENCES*,*28*(8), 971-979. - Caers, J., Krishnan, S., Wang, Y. D., & Kovscek, A. R. (2002). A geostatistical approach to streamline-based history matching.
*SPE JOURNAL*,*7*(3), 250-266. - Caers, J., Avseth, P., & Mukerji, T. (2002). Integrating rock physics, seismic amplitudes, and geological models.
*JOURNAL OF PETROLEUM TECHNOLOGY*,*54*(6), 43-43. - Caers, J., & Ma, X. L. (2002). Modeling conditional distributions of facies from seismic using neural nets.
*MATHEMATICAL GEOLOGY*,*34*(2), 143-167. - Caers, J. (2002). Geostatistical history matching under a training image-based geological model constraints. Presented at the SPE Annual Conference and Technical Exhibition.
- Tureyen, I., & Caers, J. (2002). A geostatical approach to history matching flow and pressure data on non-uniform grids. Presented at the ECMOR VIII, European Conference on Mathematics of Oil Recovery.
- APR, B., Caers, J., & Strebelle, S. (2002). Feature-based geostatistics: an application to a submarine channel reservoir. Presented at the SPE Annual Conference and Technical Exhibition.
- Strebelle, S., Payrazyan, K., & Caers, J. (2002). Modeling of a deepwater turbidite reservoir conditional to seismic data using multiple-point geostatistics. Presented at the SPE Annual Technical Conference and Exhibition.
- Caers, J. (2001). Geostatistical reservoir modelling using statistical pattern recognition.
*JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING*,*29*(3-4), 177-188. - Caers, J. (2001). Automatic histogram and variogram reproduction in simulated annealing simulation.
*MATHEMATICAL GEOLOGY*,*33*(2), 167-190. - Caers, J., Avseth, P., & Mukerji, T. (2001). Geostatistical integration of rock physics, seismic amplitudes and geological models in North-Sea turbidite systems.
*The Leading Edge*,*20*. - Remy, N., Shtuka, A., Levy, B., & Caers, J. (2001). GsTL: a geostatistical template library in C++.
*Computers & Geosciences*,*28*(8), 971-979. Presented at the Proceedings of the IAMG Annual Conference of the International Association for Mathematical Geology. - Strebelle, S., Journel, A. G., & Caers, J. (2001). Data integration with multiple-point geostatistics. Presented at the Third IMA Conference on Modeling Permeable Rocks.
- Caers, J., & Srinivasan, S. (2001). A fast Markov chain Monte Carlo simulation method for conditioning reservoir models to dynamic data.
*Proceedings of the 7th European Conference on Mathematics of Oil Recovery*. Presented at the 7th European Conference on Mathematics of Oil Recovery, EAGE. - Arpat, G. B., & Caers, J. (2001). Feature-based calibration of an automated seismic interpretation tool from human expert knowledge.
*Stanford Center for Reservoir Forecasting*,*14*. Presented at the Annual Meeting, Stanford Center for Reservoir Forecasting. - Caers, J., & Haas, A. (2001). Calibrating an automated seismic interpretation tools from human expert knowledge. Presented at the Third IMA Conference on Modeling Permeable Rocks.
- Arpat, B. G., Caers, J., & Haas, A. (2001). Characterization of West-Africa Submarine channel reservoirs: a neural network-based approach to integration of seismic data. Presented at the SPE Annual Conference and Technical Exhibition.
- Caers, J. K., Srinivasan, S., & Journel, A. G. (2000). Geostatistical quantification of geological information for a fluvial-type North Sea reservoir.
*SPE RESERVOIR EVALUATION & ENGINEERING*,*3*(5), 457-467. - Caers, J. (2000). Adding local accuracy to direct sequential simulation.
*MATHEMATICAL GEOLOGY*,*32*(7), 815-850. - Caers, J., & Rombouts, L. (2000). Geostatistical modeling of an offshore diamont deposit. Presented at the 6th International Geostatistics Congress.
- Caers, J., Beirlant, J., & Maes, M. A. (1999). Statistics for modeling heavy tailed distributions in geology: Part II. Applications.
*MATHEMATICAL GEOLOGY*,*31*(4), 411-434. - Caers, J., Beirlant, J., & Maes, M. A. (1999). Statistics for modeling heavy tailed distributions in geology: Part I. Methodology.
*MATHEMATICAL GEOLOGY*,*31*(4), 391-410. - Srinivasan, S., & Caers, J. (1999). Conditioning reservoir models to dynamic data - A forward modeling perspective. Presented at the SPE Annual Conference and Technical Exhibition.
- Caers, J., Beirlant, J., & Maes, M. A. (1999). Statistics for Modelling Heavy Tailed Distributions in Geology, Part II: Applications.
*Mathematical Geology*,*31*. - Caers, J. (1999). Geostatistical modeling of offshore diamond deposits.
*Proceedings of the 6th International Geostatistics Congress*. Presented at the 6th International Geostatistics Congress. - Caers, J., Beirlant, J., & Maes, M. A. (1999). Statistics for Modelling Heavy Tailed Distributions in Geology, Part I: Methodology.
*Mathematical Geology*,*31*. - Caers, J., & Van Dyck, J. (1998). Nonparametric tail estimation using a double bootstrap method.
*COMPUTATIONAL STATISTICS & DATA ANALYSIS*,*29*(2), 191-211. - Caers, J., Beirlant, J., & Vynckier, P. (1998). Bootstrap confidence intervals for tail indices.
*COMPUTATIONAL STATISTICS & DATA ANALYSIS*,*26*(3), 259-277. - Caers, J., & Maes, M. A. (1998). Identifying tails, bounds and end-points of random variables.
*STRUCTURAL SAFETY*,*20*(1), 1-23. - Caers, J., & Journel, A. G. (1998). A Neural Network Approach to Stochastic Simulation. Presented at the GOCAD ENSG Conference on 3D Modelling of Natural Objects.
- Caers, J., & Maes, M. A. (1998). Global Valuation of Primary Diamond Deposits. Presented at the 27th Symposium on the Application of Computer Methods and Operations Research in the Mineral Industry.
- Caers, J., & Journel, A. G. (1998). Stochastic Reservoir Simulation Using Neural Networks Trained on Outcrop Data.
*Proceedings of the SPE Technical Exhibition and Annual Conference*, 321-337. Presented at the SPE Technical Exhibition and Annual Conference. - Maes, M. A., & Caers, J. (1998). Tail Estimation of Bounded Random Variables. Presented at the IFIP Conference on Optimization and Reliability of Structural Systems.
- Caers, J., & Vervoort, A. (1997). Assessing the Quality of Diamonds.
*Mineral Resources Engineering*,*5*. - Caers, J., Swennen, R., & Vervoort, A. (1997). Petrography and X-ray computerized tomography applied as an integral part of a rock mechanics investigation of discontinuities.
*TRANSACTIONS OF THE INSTITUTION OF MINING AND METALLURGY SECTION B-APPLIED EARTH SCIENCE*,*106*, B38-B45. - Caers, J., Gelders, J., Vervoort, A., & Rombouts, L. (1997). Non-conditional and conditional simulation of a spatial point process.
*GEOSTATISTICS WOLLONGONG '96, VOLS 1 AND 2*,*8*(1-2), 270-281. - Caers, J., & Rombouts, L. (1996). Valuation of primary diamond deposits by extreme value statistics.
*ECONOMIC GEOLOGY AND THE BULLETIN OF THE SOCIETY OF ECONOMIC GEOLOGISTS*,*91*(5), 841-854. - Caers, J., Vynckier, P., Beirlant, J., & Rombouts, L. (1996). Extreme value analysis of diamond-size distributions.
*MATHEMATICAL GEOLOGY*,*28*(1), 25-43. - Caers, J., & Vervoort, A. (1996). A numerical maximum likelihood method for estimating the mean of a compound lognormal distribution.
*26TH PROCEEDINGS OF THE APPLICATIONS OF COMPUTERS AND OPERATIONS RESEARCH IN THE MINERAL INDUSTRY*, 27-32.

397 Panama Mall

Mitchell Building 101

Stanford, CA 94305-2210

Tel: (650) 723-2544

© Stanford University, Stanford, California 94305. Copyright Complaints