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Jef Caers

Jef Caers
Title:Associate Professor
Primary Affiliation:Department of Energy Resources Engineering
Other Affiliations:E-IPER
Office Location:Green Earth Sci.  86
Research Group:Stanford Center for Reservoir Forecasting (SCRF)
Alternative Website:http://www.jefcaers.org/
Phone:(650) 723-1774
Fax:(650) 725-2099
E-mail:jcaers@stanford.edu

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

Education

  • 1997 | Ph.D., Engineering, Katholieke Universiteit Leuven, Belgium
  • 1993 | M.S., Mining Engineering & Geophysics, Katholieke Universiteit Leuven, Belgium

Professional Experience

  • 2011 - present | Editor-in-Chief, Computers & Geosciences
  • 2006 – Present | Associate Professor of Energy Resources Engineering, Stanford University
  • 2000 – Present | Director Stanford Center for Reservoir Forecasting, Stanford, California,
  • 1999 – 2005 | Assistant Professor of Petroleum Engineering, Stanford University
  • 1997 | Post-doctoral researcher, Civil Engineering, University of Calgary, Canada
  • 1997 – 1999 | Post-doctoral researcher, Geological & Environmental Sciences, Stanford University

Honors & Awards

  • 2010 | 1st prize software plugin at the Schumberger Information Services Global Forum
  • 2007 | Top 10 Oral presentation, AAPG Annual Convention, Long Beach, 2007
  • 2007 | Best paper award, Mathematical Geology
  • 2005 | SPE Journal, Outstanding Technical Editor Award
  • 2003 | Frederick E. Terman Fellowship award
  • 2001 | Vistelius Research Award, International Association for Mathematical Geology
  • 1997 | Fellow of the B.A.E.F. (Belgian American Education Foundation)
  • 1997 – 1998 | Research Fellow of the NATO
  • 1997 – 1999 | Post-doctoral Fellow of the National Science Foundation of Belgium
  • 1994 – 1997 | Research Fellow of the National Science Foundation of Belgium

Courses Taught

  • 2013 (Spring) | Energy 240 Geostatistics [Enrolled ~25]
  • 2013 (Winter) | Energy 160/260 Modeling Uncertainty in the Earth Sciences [Enrolled 26]
  • 2012 (Winter) | Energy 160/260 Modeling Uncertainty in the Earth Sciences [Enrolled 24]
  • 2011 (Fall) | Energy 284 Optimization: Deterministic and Stochastic Approaches [Enrolled 22]
  • 2011 (Winter) | Energy 160/260 Modeling Uncertainty in the Earth Sciences [Enrolled 27]
  • 2010 (Fall) | Energy 284 Optimization: Deterministic and Stochastic Approaches [Enrolled 14]
  • 2010 (Winter) | Energy 160/260 Modeling Uncertainty in the Earth Sciences [Enrolled 28]
  • 2009 (Spring) | Energy 241/Geophys 241A Geostatistics/Seismic Data Integration [Enrolled 5]
  • 2009 (Fall) | Energy 284 Optimization: Deterministic and Stochastic Approaches [Enrolled 17]
  • 2008 (Spring) | Energy 241/Geophys 241A
    Geostats/Seismic Data Integration [Enrolled 11]2008 (Fall) | Energy 284 Optimization: Deterministic and Stochastic Approaches [Enrolled 17]
  • 2007 (Fall) | Energy 363 Doc Res Pet Engr [Enrolled 4]
  • 2007 (Fall) | Energy 361 Mstrs Res Pet Engr [Enrolled 2]
  • 2007 (Fall) | Energy 284 Optimization [Enrolled 17]
  • 2007 (Summer) | Energy 363 Doc Res Pet Engr [Enrolled 1]
  • 2007 (Summer) | Energy 361 Mstrs Res Pet Engr [Enrolled 1]
  • 2007 (Summer) | Energy 255 Ms Energy Industry Training [Enrolled 2]
  • 2007 (Spring) | Energy 802 TGR Dissertation [Enrolled 1]
  • 2007 (Spring)
    Energy 801 TGR Project [Enrolled 2]
  • 2007 (Spring) | Energy 363 Doc Res Pet Engr [Enrolled 1]
  • 2007 (Spring) | Energy 361 Mstrs Res Pet Engr [Enrolled 2]
  • 2007 (Winter) | Energy 801 TGR Project [Enrolled 1]
  • 2007 (Winter) | Energy 363 Doc Res Pet Engr [Enrolled 2]
  • 2007 (Winter) | Energy 361 Mstrs Res Pet Engr [Enrolled 2]
  • 2007 (Winter) | Energy 360 Adv Petroleum Engr [Enrolled 1]
  • 2006 (Fall) | Energy 361-363 ERE Research [Enrolled 3]
  • 2006 (Fall) | Energy 802 TGR Dissertation [Enrolled 2]
  • 2006 (Fall) | Energy 284 Optimization [Enrolled 20]
  • 2006 (Summer) | PetE 355 PhD Indust Training [Enrolled 3]
  • 2006 (Summer) | PetE 802 TGR Dissertation [Enrolled 1]
  • 2006 (Summer) | PetE 361-363 Petroleum Engineering Research [Enrolled 3]
  • 2006 (Spring) | PetE 802 TGR Dissertation [Enrolled 1]
  • 2006 (Spring) | PetE 363 Doc Res Pet Engr [Enrolled 3]
  • 2006 (Spring) | PetE/Geophys 241/A Geostats/Seismic Data Integration [Enrolled 8]
  • 2006 (Winter) | PetE 360-363 Petroleum Engineering Research [Enrolled 6]
  • 2006 (Winter) | PetE/GES 161 Geostatistics [Enrolled 25]
  • 2005 | PetE 161 Introduction to Geostatistics [Enrolled 25]
  • 2005 | PetE 284 Optimization [Enrolled 10]
  • 2004 | PetE 284 Optimization (w/Horne) [Enrolled 19]
  • 2004 | PetE 241 Geostats/Seismic Data Integrat (w/ Mukerji) [Enrolled 10]
  • 2004 | PetE 161 Introduction to Geostatistics [Enrolled 24]
  • 2003 | PetE 241 Geostatistics Integration (with Mukerji) [Enrolled 11]
  • 2003 | PetE 360-63 Petroleum Engineering Research [Enrolled 23]
  • 2003 | PetE 161 Introduction to Geostatistics [Enrolled 23]
  • 2003 | PetE 284 Optimization (with Horne) [Enrolled 19]
  • 2002 | PetE 360-63 Petroleum Engineering Research [Enrolled 8]
  • 2002 | PetE 161 Introduction to geostatistics [Enrolled 25]
  • 2002 | PetE 241 Geostatistics Integration (with Mukerji) [Enrolled 10]
  • 2002 | PetE 284 Optimization [Enrolled 26]
  • 2001 | PetE 120 Fundamentals of Petr Enginrg [Enrolled 13]
  • 2001 | PetE161 Geostatistics [Enrolled 12]
  • 2001 | PetE 241 Geostatistics Integration (with Mukerji) [Enrolled 8]
  • 2001 | PetE 240 Spatial Phenomena [Enrolled 25]
  • 2001 | PetE 284 Optimization [Enrolled 14]
  • 2000 | PetE 284 Optimization [Enrolled 10]
  • 2000 | PetE 160 Statist. Meth. Earth &Environ Sci [Enrolled 19]

Publications

  • Books
  • 2014 | Mariethoz, G. Boucher, A. & Caers, J. Multiple-point geostatistics: stochastic simulation with training images. Wiley Blackwell (450p).
  • 2011 | Caers, J. 2011. Modeling Uncertainty in the Earth Sciences. Wiley-Blackwell (246p).
  • 2005 | Caers, J. 2005. Petroleum Geostatistics. Society of Petroleum Engineers. (96p). 
  • Papers (Journal and Conferences)
  • 2013* | Jung, A, Fenwick, D. and Caers, J. Training-image based scenario modeling of fractured reservoir for flow uncertainty quantification, Computational Geosciences, submitted.
  • 2013 | Hermans, T. Scheidt, C., Caers, J. & Nguyen, F. Probability perturbation applied to the use of groundwater flow models in HydroGeoSphere. 3rd International HydroGeoSphere user conference.
  • 2013* | Gerritsen, M. and Caers, J. Modeling spatial and structural uncertainty in the subsurface. in press.
  • 2013 |  Scheidt, C., Fenwick D. and Caers, J. A distance-based generalized sensitivity analysis for energy resources modeling. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013.
  • 2013 | Jung, A., Fenwick, D. & Caers, J. Updating uncertainty in the conceptual geological representation of fractured reservoirs using production data. 75th EAGE Conference & Exhibition, London, England.
  • 2013 | Aydin O., Caers, J. Learning Needed Complexity in Structural Modeling Using Procrustes Analysis. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013
  • 2013 | Hermans T., Caers J. and Nguyen F.. Assessing the probability of training image-based geological scenarios using geophysical data. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013.
  • 2013 | A. Jung, D. Fenwick, J. Caers. Updating of uncertainty in fractured reservoirs driven by geological scenarios. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013.
  • 2013 | Xu, S. Jung A., Tapan Mukerji T. and Caers, J. Use of Tank Experiment Data In Surface-based Modeling. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013
  • 2013 | Li, L. and Caers, J. Possibility as a complement to probability in quantifying geological scenario uncertainty: a deep-water reservoir case study. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013.
  • 2013 | Jeong, C., Scheidt C, Caers, J and Mukerji, T. Modeling Geological Scenario Uncertainty from Seismic Data using Pattern Similarity. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013.
  • 2013 | Tan, X. Pejman, T. and Caers, J. A quantitative comparison of multiple-point algorithms using an analysis of distance method. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013.
  • 2013 | Pejman T and Caers, J. Fast multiple point geostatistical simulation using a multi-scale approach. Accepted for Oral presentation at IAMG 2013, Madrid, Sept 2-6, 2013.
  • 2013* | K. Mahmud1, P. Tahmasebi, G. Mariethoz, J. Caers, A. Baker. Simulation of Earth textures by Conditional Image Quilting. Water Resources Research, submitted.
  • 2013* | Pejman T and Caers, J. Fast stochastic simulation of patterns using a multi-scale search, Mathematical Geosciences, submitted.
  • 2013* | Scheidt, C. , Renard, P. and Caers, J. Uncertainty Quantification in Inverse Problems: Model-Based versus Prediction-Focused Inversion, Mathematical Geosciences, submitted.
  • 2013* | Tan, X. Pejman T, and Caers, J. Comparing training-image based algorithms using an analysis of distance. Mathematical Geosciences, in press.
  • 2013* | Li, L.  Boucher A and Caers, J. SGEMS-UQ: An Uncertainty Quantification Toolkit for SGEMS. Computers & Geosciences, in press.
  • 2013* | Bertoncello, A. Sun, T. Li, H., Mariethoz, G and Caers, J. Conditioning surface-based geological models to wells and thickness data, Mathematical Geosciences, in press.
  • 2013* | Aydin, O, Caers, J. Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling. Computational Geosciences, April 2013, Volume 17, Issue 2, pp 417-429.
  • 2013* | Park, H. Scheidt, C.,  Fenwick, D.  Boucher, A. Caers, J. History matching and uncertainty quantification of facies models with multiple geological interpretations, Computational Geosciences, Febr. 2013. DOI 10.1007/s10596-013-9343-5.
  • 2013* | Caers, J.. Editorial: A special issue on benchmark problems, datasets and methodologies for the computational geosciences. Computers & Geosciences 50, 1-3.
  • 2012 | Caers, J. Data inversion under geological scenario uncertainty. SEG Technical Program Expanded Abstracts 2012, 1-2.
  • 2012 | Park, H. and Caers, J. History matching under uncertain geological scenario. In proceedings to the 9th International Geostatistics Congress, Oslo, June 11-15, 2012
  • 2012 | Honarkhah, M. and Caers, J. Direct non-stationary multiple-point modeling by distance-based pattern simulation. In proceedings to the 9th International Geostatistics Congress, Oslo, June 11-15, 2012.
  • 2012 | Aydin, O. and Caers, J. Transformation spaces for determining spatial model complexity. In proceedings to the 9th International Geostatistics Congress, Oslo, June 11-15, 2012.
  • 2012 | Caers, J. On internal consistency, conditioning and models of uncertainty. In proceedings to the 9th International Geostatistics Congress, Oslo, June 11-15, 2012.
  • 2012* | Mehrdad Honarkhah, Jef Caers. Direct Pattern-Based Simulation of Non-stationary Geostatistical Models, Mathematical Geosciences, August 2012, Volume 44, Issue 6, pp 651-672
  • 2012* | Nicolas Cherpeau, Guillaume Caumon, Jef Caers and Bruno Lévy, Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data, Mathematical Geosciences, Volume 44, Number 2, 147-168.
  • 2011* | Caers, Jef, and Celine Scheidt, 2011, Integration of engineering and geological uncertainty for reservoir performance prediction using a distance-based approach, in Y. Z. Ma and P. R. La Pointe, eds., Uncertainty analysis and reservoir modeling: AAPG Memoir 96, p. 191 – 202.
  • 2011 | Caers, J., Park, K. and Scheidt, C., Distance-based sampling of posterior distributions in spatial inverse problems, IAMG 2011, Salzburg, Sept 5-11, 2011.
  • 2011 | Honarkhah, M. and Caers, J., Direct Pattern-based Simulation of Multi-Point Non-Stationary Models, IAMG 2011, Salzburg, Sept 5-11, 2011
  • 2011 | N. Cherpeau, G. Caumon, J. Caers, and B. Lévy. Assessing the impact of fault connectivity uncertainty in reservoir studies using explicit discretization, SPE Reservoir Characterisation and Simulation Conference and Exhibition held in Abu Dhabi, UAE, 9–11 October 2011, SPE # 148085
  • 2011* | N. Cherpeau, G. Caumon, J. Caers, and B. Lévy. Topological uncertainties in structural geology and assimilation of dynamic data: parametrization and sampling. Water Resources Research
  • 2011* | Renard, P., Straubhaar, J, Mariethoz, G. and Caers, J., 2011. Conditioning facies simulations with connectivity data, Mathematical Geosciences, Volume 43, Number 8, 879-90.
  • 2011* | Li, H and Caers, J, 2011, Geological modelling and history matching of multi-scale flow barriers in channelized reservoirs: methodology and application, Petroleum Geoscience, Vol. 17 2011, pp. 17–34.
  • 2011* | Scheidt, C., Caers, J., Chen, Y., Durlofsky, L.J. A multi-resolution workflow to generate high-resolution models constrained to dynamic data. Computational Geosciences, 15, 545-563
  • 2010 | Park, K and Caers, J., 2010. Sampling Multiple Non-Gaussian Model Realizations Constrained to Static and Highly Nonlinear Dynamic Data Using distance-based Techniques. In Proceeding to the IAMG 2010 annual conference, Budapest, Hungary, Aug 29 - Sep 2, 2010.
  • 2010* | Trainor, W., Caers, J. and Mukerji, T., 2010. A methodology for establishing a data reliability measure for spatial value of information problems, Mathematical Geosciences, 2011, Volume 43, Number 8, Pages 929-949
  • 2010* | Honarkhah, M and Caers, J, 2010, Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling, Mathematical Geosciences, 42: 487 - 517.
  • 2010* | Mariethoz, G. and Caers, J, 2010, A distance-based approach for Bayesian updating of spatial parameters, IEEE transactions on remote sensing, submitted.
  • 2010* | W.J. Trainor-Guitton , J.K. Caers , T. Mukerji , and R. Knight, Value of Information Methodology for Dynamic, Spatial Earth Problems, Water Resources Research, submitted
  • 2010* | Caers, J. Special Issue on Computational Methods for the Earth, Energy and Environment - IAMG 2009, Mathematical Geosciences.
  • 2009* Castro. S., Otterlei C. Meisinget, H. Hoye, T. Gomel, P., Zachariassen, E. and Caers, J. Incorporating 4D seismic data into reservoir models while honoring production and geologic data. The Leading Edge; December 2009; v. 28; no. 12; p. 1498-1505; DOI: 10.1190/1.3272706
  • 2009* | Caers, J. and Scheidt, C. Joint integration of engineering and geological uncertainty for reservoir performance prediction using a distance-based approach: In AAPG Memoir on Modeling Geological Uncertainty, in press.
  • 2009* | Caers, J. Scheidt, C and Park, K., 2010. Modeling Uncertainty of Complex Earth Systems in Metric Space. In: Handbook of Geomathematics, Springer, in press
  • 2009* | Michaels, H., Gorelick, S., Sun, T. Li, H and Boucher, A, 2009, Combining geologic-process models and geostatistics for conditional simulation of 3-D subsurface heterogeneity. Water Resources Research, in press
  • 2009* | Scheidt, C and Caers, J., Bootstrap confidence intervals for reservoir model selection techniques, Computational Geosciences, 2009.
  • 2009* | Alpak,F, Barton, M. and Caers, J., A flow-based pattern recognition algorithm for rapid quantification of geologic uncertainty: Application to highresolution channelized reservoir models, Computational Geosciences, accepted for publication
  • 2009* | Scheidt C., Caers J., A new method for uncertainty quantification using distances and kernel methods. Application to a deepwater turbidite reservoir. SPE J, 14 (4): 680-692, SPEJ 118740-PA
  • 2008 | Caers, J and Park, K, A Distance-based Representation of Reservoir Uncertainty: the Metric EnKF, Proceedings to the 11th European Conference on the Mathematics of Oil Recovery, Bergen, Norway.
  • 2008 | Renard, Ph. and Caers, J., Conditioning facies simulations with connectivity data, 8th International Geostatistical Congress, Santiago, Chile, Dec. 1-5, 2008.
  • 2008 | Caers, J., Distance-based random field models and their applications. 8th International Geostatistical Congress, Santiago, Chile, Dec. 1-5, 2008.
  • 2008 | Sepehr Fadaei, Marco Thiele and Jef Caers, Streamline Assisted History Matching of Naturally Fractured Reservoirs Using the Probability Perturbation Method, 8th International Geostatistical Congress, Santiago, Chile, Dec. 1-5, 2008.
  • 2008 | Holly Michael, Hongmei Li, Ting Li, Mehrdad Honarkhah, Steven Gorelick, and Jef Caers. Combining geologic process models and geostatistics: conditional simulation of geologically-realistic reservoir heterogeneity, 8th International Geostatistical Congre
  • 2008 | Kwangwon Park, Celine Schiedt, Jef Caers, Simultaneous Conditioning of Multiple Non-Gaussian Geostatistical Models to Highly Nonlinear Data Using Distances in Kernel Space, 8th International Geostatistical Congress, Santiago, Chile, Dec. 1-5, 2008.
  • 2008 | Kwangwon Park, Celine Schiedt, Jef Caers, Ensemble Kalman Filtering in Distance-based Kernel Space, EnKF Workshop 2008, Voss, Norway, June 18-20, 2008.
  • 2008 | Trainor, W., Caers, J., Mukerji, T., Auken, E., & Knight, R. (2008). Assessing the Value of Information of Geophysical Data for Groundwater Management. Eos Trans. AGU, Fall Meet. Suppl., Abstract H43J-02 (abstract ref. no. 634).
  • 2008 | Trainor, W., Knight, R.J., & Caers, J.K. (2008). An Assessment of the Impact of Geologic Heterogeneity on Predictions of Seawater Intrusion in Coastal Aquifers. SWIM (20th Salt Water Intrusion Meeting) Program & Proceedings, Naples, FL. June 23-27. (w
  • 2008 | Scheidt C., Park K. and Caers J., Defining a Random Function from a Given Set of Model Realizations, VIII International Geostatistics Congress, Santiago, Chile, 1-5 December 2008.
  • 2008 | Bertoncello A. and Caers J. K. and Biver P. and Caumon G., 2008. Geostatistics on Stratigraphic Grids Proc. eighth Geostatistical Geostatistics Congress.
  • 2008* | Suzuki, S and Caers, J., A Distance-Based Prior Model Parameterization for Constraining Solutions of Spatial Inverse Problems. Math. Geosciences, v40, no. 4, 445-469.
  • 2008 | Scheidt, C. and Caers, J. (2008). Joint quantification of uncertainty on spatial and non-spatial reservoir parameters Comparison between the Joint Modeling Method and Distance Kernel Method. Proceeding to the ECMOR XI, Sept 8-11, Bergen, Norway, 8p.
  • 2008 | Caers, J. and Park, K (2008). Distance-based representation of reservoir uncertainty: the metric EnKF. Proceeding to the ECMOR XI, Sept 8-11, Bergen, Norway, 8p.
  • 2008* | Scheidt, C. and Caers, J. (2008). Representing Spatial Uncertainty Using Distances and Kernels, Math. Geosciences, DOI:10.1007/s11004-008-9186-0, 2008.
  • 2008* | Ronayne, M.J., S.M. Gorelick, and J. Caers (2008), Identifying discrete geologic structures that produce anomalous hydraulic response: An inverse modeling approach, Water Resour. Res., doi:10.1029/2007WR006635, in press.
  • 2008* | Suzuki, S. Caumon, G. and Caers, J. Dynamic Data Integration Into Structural Modeling: Model Screening Approach Using a Distance-based Model Parameterization, Computational Geosciences, .
  • 2008* | Li, T. and Caers, J. Solving spatial inverse problems using the probability perturbation method: an S-GEMS implementation. Computers and Geosciences.
  • 2008* | Johansen, K, Caers, J and Suzuki, S, Hybridization of the probability perturbation method with gradient information. Computational Geosciences.
  • 2007 | 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 Trans. AGU, Fall Meet. Suppl., Abstract H42B-04.
  • 2007 | Suzuki, S., Caumon, G. and Caers, J., History matching of reservoir structure subject to prior geological and geophysical constraints. EAGE Petroleum Geostatistics conference, Cascais, Portugal, September 10-14
  • 2007 | Park, K., and Caers, J. History matching in low-dimensional connectivity vector space. EAGE Petroleum Geostatistics conference, Cascais, Portugal, September 10-14.
  • 2007 | Using distances and Kernel to parameterize spatial uncertainty for flow applications. EAGE Petroleum Geostatistics conference, Cascais, Portugal, September 10-14.
  • 2007 | Caetano, H. and Caers, J., Geostatistical inversion controlled to multiple-point information derived from training images. EAGE Petroleum Geostatistics conference, Cascais, Portugal, September 10-14
  • 2007 | Johansen, K. and Caers, J., Hybridization of the probability perturbation method with gradient information. EAGE Petroleum Geostatistics conference, Cascais, Portugal, September 10-14
  • 2007 | Li, H. and Caers, J. Hierarchic Modeling and History Matching of Multiscale Flow Barriers in Channelized Reservoirs. 2007 SPE Annual Technical Conference and Exhibition held in Anaheim, California, U.S.A., 11–14 November 2007. SPE# 109252
  • 2007 | Castro S., Caers J., Meisingset H., Høye T., Gomel P., Zachariassen E., 2007. Comparison of Probabilistic and Forward Modeling Workflow Approaches for Integrating 4D Seismic into Reservoir Models: Application to a North Sea Reservoir. Paper presented at
  • 2007* | Suzuki, S., Daly, C., Caers, J., Mueller, D., "History Matching of Naturally Fractured Reservoirs Using Elastic Stress Simulation and Probability Perturbation Method," SPE95498, SPE Journal, March Issue, 2007
  • 2007 | Hongmei Li and Jef Caers, A Workflow for Modeling Multi-scale Flow Barriers in Deep Water Turbidite Reservoirs --2007 AAPG Annual meeting, April 1-4, 2007, Long Beach, California.
  • 2007* | Caers, J. and Castro, S. 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. AGU M
  • 2007* | Hoffman, B.T. and Caers, J. History matching by jointly perturbing local facies proportions and their spatial distribution: Application to a North Sea Reservoir. Journal of Petroleum Sciences and Technology, v.57, no.3-4, p.257-272
  • 2007* | Arpat, B. and Caers, J. Stochastic simulation with patterns. Mathematical Geology, v39, no2, 177-203.
  • 2007* | Caers, J. Comparison of the gradual deformation with the probability perturbation method for solving inverse problems, Mathematical Geology, v39, no 1, 27-52.
  • 2006 | Castro S., Caers J., 2005. Flow-based downscaling of saturations for modeling 4D seismic data. Paper presented at the 75th SEG meeting.
  • 2006 | Castro S., Caers J., 2006. A probabilistic approach to integration of well log, geological information, 3D/4D seismic and production data. Paper presented at ECMOR X in Amstedam,
  • 2006 | Castro S., Caers J. and Durlofsky L., 2006. Improved modeling of 4D seismic response using flow-based downscaling of coarse grid saturations. Paper presented at ECMOR X in Amsterdam, The Netherlands.
  • 2006 | Castro S., Caers J., Otterlei C., Høye T., Andersen T., Gomel P., 2006. A Probabilistic Integration of Wel l Log, Geological Information, 3D/4D Seismic, and Production Data: Application to the Oseberg Field. Paper presented at the 2006 SPE Annual Meeting
  • 2006 | Suzuki, S. and Caers, J., "Discrete Space Optimization Method for History Matching under Uncertain Geological Scenario," 10th European Conference on the Mathematics of Oil Recovery (ECMOR X), Amsterdam, Netherlands, September 2006
  • 2006 | Suzuki, S. and Caers, J., "History Matching with an Uncertain Geological Scenario," SPE102154, SPE Annual Technical Conference and Exhibition, San Antonio, Texas, September 2006
  • 2006 | Stright, L, J. Caers, H. Li, F. Van der Vlugt, C. Pirmez, and M. Barton. 2006. "Modeling, Upscaling and History Matching Thin, Irregularly-Shaped Flow Barriers; A Comprehensive Approach for Predicting Reservoir Connectivity". 26th Annual GCSSEPM Foundat
  • 2006 | Stright, L, J. Caers, H. Li, F. Van der Vlugt, C. Pirmez, and M. Barton. 2006. "Coupled Geological Modeling and History Matching of Fine-Scale Curvilinear Flow Barriers" in Proceedings EAGE 10th European Conference on the Mathematics of Oil Recovery, A
  • 2006 | Stright, L. and J. Caers. 2006. "Preserving Fine-Scale, Irregularly-Shaped Geological Features in Reservoir Flow Models Using Edge Properties". American Association of Petroleum Geologists Annual Convention Abstracts.
  • 2006* | Caers, J., Hoffman, B.T., Strebelle, S. and Wen, X-H., Probabilistic integration of geological information, seismic and production data, The Leading Edge, 25: 240-244.
  • 2006* | Feyen, L. and Caers, J., Quantifying geological uncertainty for flow and transport modeling in multi-modal heterogeneous formations, Advances in Water Resources; June 2006; v.29, no.6, p.912-929
  • 2006* | Caers, J. and Hoffman, T.,. The probability perturbation method: a new look at Bayesian inverse modeling. Math. Geol., v 38, no 1, p 81-100.
  • 2005 | Hongmei Li, Burc G. Arpat, Jef Caers 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
  • 2005 | Fenwick, D. Thiele, M., Agil., M., Hussain, A., Humam, F. and Caers, J.Reconciling Prior Geologic Information With Production Data Using Streamlines: Application to a Giant Middle-Eastern Oil Field. SPE ATCE Dallas, Oct 9-12, 2005. SPE # 95940.
  • 2005 | Suzuki, S., Daly, C., Mueller, D. and Caers, J. History Matching of Naturally Fractured Reservoirs Using Elastic Stress Simulation and Probability Perturbation Method. SPE ATCE Dallas, Oct 9-12, 2005. SPE# 95498.
  • 2005 | Hoffman, T.B., Strebelle, S. Wen, X-H and Caers, J. Geologically Consistent History Matching of a Deepwater Turbidite Reservoir. SPE ATCE, Dallas, Oct 9-12, 2005. SPE #95557.
  • 2005* | Voelker, J. and Caers, J. A combined geostatistical and source model to predict super-permeability from flowmeter data: application to the Ghawar field. In: Geostatistics Banff 2004, Quantitative Geology and Geostatistics (eds Leuangthong, O & Deutsch, C.
  • 2005* | Hoffman, B.T, and Caers, J., Regional probability perturbations for history matching, Journal of Petroleum Science and Engineering, 46, 53-71.
  • 2005* | Hoffman, B.T. and Caers, J., History matching under geological control: a North Sea case study. In: Proceeding to the 2004 International Geostatistics Congress, Banff, Sept 26 - Oct. 1, 2004.
  • 2005* | Caers, J. Data conditioning with the probability perturbation method. In: Geostatistics Banff 2004, Quantitative Geology and Geostatistics (eds Leuangthong, O & Deutsch, C.V.), Springer, Dordrecht, v1 p 13-22.
  • 2005* | Arpat, B.G. and Caers, J. A Multiple-scale, Pattern-based Approach to Sequential Simulation. In: Geostatistics Banff 2004, Quantitative Geology and Geostatistics (eds Leuangthong, O & Deutsch, C.V.), Springer, Dordrecht, v1 p. 255-264.
  • 2004* | Tureyen, O.I. and Caers, J., A parallel multi-scale approach to reservoir modeling. Computational Geosciences, v9, no2-3, 79-89.
  • 2004 | G. Caumon, S.B. Strebelle, J.K. Caers, A.G. Journel, Assessment of Global Uncertainty for Early Appraisal of Hydrocarbon Fields. SPE 89943, SPE ATCE, Houston, Sept 26 - Sept 29, 2004.
  • 2004 | H. Gross, M.R. Thiele, M.J. Alexa, J.K. Caers, A.R. Kovscek, Streamline-Based History Matching Using Geostatistical Constraints: Application to a Giant, Mature Carbonate Reservoir. SPE 90069, SPE ATCE, Houston, Sept 26 - Sept 29, 2004.
  • 2004 | Feyen, L. and Caers, J. Multiple-point geostatistics: a powerful tool to improve groundwater flow and transport predictions in multi-modal formations. In: Proceeding to geoEnv 2004, Neuchatel, Switzerland, October 13-15, 2004.
  • 2004* | Tureyen, O.I. and Caers, J. A parallel scheme for multi-scale data integration. In: Geostatistics Banff 2004, Quantitative Geology and Geostatistics (eds Leuangthong, O & Deutsch, C.V.), Springer, Dordrecht, v1 p 275-284.
  • 2004* | Caers. J, Gross, H. and Kovscek, A.R. A direct sequential simulation approach to streamline-based history matching. In: Geostatistics Banff 2004, Quantitative Geology and Geostatistics (eds Leuangthong, O & Deutsch, C.V.), Springer, Dordrecht, v2 p 1077-1
  • 2004 | Arpat, B.G and Caers, J. Reservoir Characterization Using Multiple-Scale Geological Patterns. ECMOR IX, Cannes, Aug 29 - Sept 2, 2004
  • 2004 | Tureyen, O.I. and Caers, J. A Parallel, Multiscale Approach to Reservoir Modeling. ECMOR IX, Cannes Aug 29- Sept 2, 2004.
  • 2004 | Hoffman, B.T. and Caers, J., History Matching with the Regional Probability Perturbation Method ñ Applications to a North Sea Reservoir ECMOR IX, Cannes, Aug 29 - Sept 2, 2004
  • 2004 | Caers, J. The probability perturbation method: an alternative to traditional Bayesian approaches for solving inverse problems. ECMOR IX, Cannes Aug 29- Sept 2, 2004.
  • 2004* | Automatic geobody detection from seismic using minimum message length clustering. Computers and Geosciences, Volume 30, Issue 7, August 2004, Pages 741-751.
  • 2004* | Caers, J. and Zhang, T., Multiple-point geostatistics: a quantitative vehicle for intergration geologic analogs into multiple reservoir models. In: ""Integration of outcrop and modern analog data in reservoir models"" AAPG memoir 80, p. 383-394.
  • 2003* | Caers, J., Arpat, G.B. and Arroyo-Garcia, C., 2003. Feature-based probabilistic interpretation of geobodies from seismic. In: Stochastic modeling II (ed. Coburn, C.T.), American Association of Petroleum Geologist, in press.
  • 2003 | Hoffman, B.T. and Caers, J.Sequential Simulation under local non-linear constraints: Application to history matching. Annual conference of the Internation Association for Mathematical Geology, Porthsmouth, England, Sept 7-11. 6pp.
  • 2003 | Voelker, J.J., Liu, J. and Caers, J.A geostatistical method for characterizing superpermeability from flowmeter data: Application to the Ghawar field.SPE Annual Conference and Technical Exhibition, Denver, Oct. 5-8. SPE 84279, 16pp.
  • 2003 | Hoffman,B.T. and Caers, J.Geostatistical history matching using the regional probability perturbation method.SPE Annual Conference and Technical Exhibition, Denver, Oct. 5-8. SPE 84409, 16pp.
  • 2003 | Tureyen, O.I. and Caers, J.A two level optimization method for integrating production data on non-uniform grids. SPE Annual Conference and Technical Exhibition, Denver, Oct. 5-8. SPE 84368, 16pp.
  • 2003* | Moysey, S., Knight, R, Allen-King, R.M. and Caers, J., The construction of stochastic facies-based models conditioned to ground penetrating radar images. Stochastic Environmental Research and Risk Assessment (SERRA), 17, 306-318.
  • 2003* | Strebelle, S., Payrazyan, K. and Caers, J. Modeling of a deepwater turbidite reservoir conditional to seismic data using multiple-point geostatistics, SPE Journal, 227-235
  • 2003* | Caers, J. History matching under a training image-based geological model constraints, SPE 74716, SPE Journal, 218-226.
  • 2003* | Caers, J., Strebelle, S. and Payrazyan, K. Stochastic integration of seismic and geological scenarios: a submarine channgel saga, The Leading Edge, March 2003, 192-196.
  • 2003* | Caers, J. Efficient gradual deformation using a streamline-based proxy method, J. Pet. Sci. and Eng., 39/1-2 pp 57-83
  • 2002 | Caers, J., Methods for history matching under geological control, ECMOR VIII, European Conference on Mathematics of Oil Recovery, Freiberg, Germany, Sept. 3-6, 8 pp.
  • 2002* | Caers, J. and Srinivasan, S., Combining geological information with seismic and production data. In: Soft computing and intelligent data analysis in oil exploration, Nikravesh, M, Aminzadeh, F and Zadeh, L. (eds.), Elsevier Publishers. 355-386.
  • 2002* | Caers, J., Geostatistics: from pattern recognition to pattern reproduction. In: Soft computing and intelligent data analysis in oil exploration, Nikravesh, M, Aminzadeh, F and Zadeh, L. (eds.), Elsevier Publisher, 44-60.
  • 2002 | Arpat, B., Caers, J. and Strebelle, S. Feature-based geostatistics: an application to a submarine channel reservoir, SPE Annual Conference and Technical Exhibition, SPE 77426, San Antonio, Sept 29-Oct 3, 16 pp.
  • 2002 | Caers, J. Geostatistical history matching under a training image-based geological model constraints, SPE 77429, SPE Annual Conference and Technical Exhibition, San Antonio 16 pp.
  • 2002 | Strebelle, S., Payrazyan, K. and Caers, J. Modeling of a deepwater turbidite reservoir conditional to seismic data using multiple-point geostatistics, SPE Annual Conference and Technical Exhibition, SPE 77429, San Antonio, Sept 29-Oct 3, 16 pp.
  • 2002 | Moysey, S., Knight, R. Allen-King, R.M. and Caers, J. The construction of stochastic facies-based models conditioned to ground penetrating radar images, 4th International Conference on Calibration and Reliability in Groundwater Modeling, Prague, June 17-2
  • 2002 | Younis, R. and Caers, J. A method for static-based upgridding, ECMOR VII, European Conference on Mathematics of Oil Recovery, Freiberg, Germany, Sept. 3-6, 8 pp.
  • 2002 | Tureyen, I. and Caers, J. A geostatical approach to history matching flow and pressure data on non-uniform grids, ECMOR VIII, European Conference on Mathematics of Oil Recovery, Freiberg, Germany, Sept. 3-6, 8 pp.
  • 2002* | Caers, J., Krishnan, S., Wang, Y.D. and Kovscek, T. A geostatistical approach to streamline-based history matching, SPE Journal, 6, 250-266.
    2002 | Caers, J. Stochastic inverse modeling under realistic prior model constraints using multiple-point geostatistics. Invited presentation for the IAM2002 Workshop on ""Quantifying uncertainty and multiscale phenomena in subsurface processes, Minneapolis, Min
  • 2002* | Remy, N., Shtuka, A., Levy, B. & Caers, J.GsTL: a geostatistical template library in C++,Computers & Geosciences, 28, 8, 971-979; Proceedings of the IAMG2001, Annual Conference of the International Association for Mathematical Geology , Cancun,
  • 2002* | Caers, J. and Ma, X., Modelling conditional distributions of facies from seismic. Mathematical Geology, 34, 2, 139-163.
  • 2002* | Caers, J. & Srinivasan, S. Statistical pattern recognition and geostatistical data integration. In: Soft computing for reservoir characterization and modeling, eds. Wong, P. et al., Springer Verlag, 355-386.
  • 2001 | Caers, J. and Haas, A. Calibrating an automated seismic interpretation tools from human expert knowledge, Third IMA Conference on Modeling Permeable Rocks, Cambridge, March 27-29.
  • 2001 | Arpat, G.B. and Caers, J. Feature-based calibration of an automated seismic interpretation tool from human expert knowledge. Stanford Center for Reservoir Forecasting, Annual Meeting, vol. 14, May 10-11, 45 pp.
  • 2001 | Strebelle, S., Journel, A.G. and Caers, J. Data integration with multiple-point geostatistics. Third IMA Conference on Modeling Permeable Rocks, Cambridge, March 27-29.
  • 2001 | Caers, J. The next frontier in Petroleum Geostatistics. Keynote address at the IAMG2001, Annual Conference of the International Association for Mathematical Geology, Cancun, mexico, Sept 6-12.
  • 2001* | Caers, J. Automatic histogram and variogram reproduction in simulated annealing simulation. Mathematical Geology, 33, 2, 167-190
  • 2001* | Caers, J. Geostatistical reservoir modeling using statistical pattern recognition. Journal of Petroleum Science and Engineering, 29, 3,177-188.
  • 2001* | Caers, J., Avseth, P. & Mukerji, T. Geostatistical integration of rock physics, seismic amplitudes and geological models in North-Sea turbidite systems. The Leading Edge, 20, 3, 308 - 312; also SPE Annual Conference and Technical Exhibition, SPE 71321, Ne
  • 2001 | Remy, N., Shtuka, A., Levy, B. & Caers, J.GsTL: a geostatistical template library in C++. In: Proceedings of the IAMG2001, Annual Conference of the International Association for Mathematical Geology , Cancun, Mexico, Sept 6-12.
  • 2001 | Arpat, B. G., Caers, J. & Haas, A.Characterization of West-Africa Submarine channel reservoirs: a neural network-based approach to integration of seismic data. In: SPE Annual Conference and Technical Exhibition, SPE 71345, New Orleans, Sept. 30 - Oct 3.
  • 2001 | Krishnan, S. & Caers, J. Conditioning Fine Scale Geostatistical Realizations to Arbitrary Types of Large Scale Block Averages. In: Proceedings of the IAMG2001, Annual Conference of the International Association for Mathematical Geology , Cancun, Mexico, S
  • 2000* | Caers, J. and Rombouts, L. Geostatistical modeling of an offshore diamont deposit, (eds. Kleingeld, W. and Krige, D.G.) 6th International Geostatistics Congress, Cape Town, South Africa, April, 12 pp.
  • 2000* | Caers, J., ""Adding Local Accuracy to Direct Sequential Simulation,"" Mathematical Geology, v. 32, no. 7, pp. 815-850.
  • 2000 | Caers, J., ""The A,B,C of a modern geostatistics."" In Proceedings to the 20th GOCAD Annual Meeting, Nancy, France, June 19-20, 4 pp.
  • 2000 | Caers, J., ""Metropolis-annealing simulation, paper presented at the Stanford Center for Reservoir Forecasting Annual Meeting, v. 13, May 4-5, 22pp.
  • 2000 | Caers, J., ""Iterative Gauss-Markov simulation,"" paper presented at the Stanford Center for Reservoir Forecasting Annual Meeting, v. 13, May 4-5, 23pp.
  • 2000 | Caers, J., ""Geostatistical quantification of structural data in a North Sea reservoir."" Proceeding to the AAPG Annual Meeting, New Orleans, April 16-19, 4 pp.
  • 2000 | Caers, J., ""The role of pattern recognition in geostatistical data integration,"" AAPG Hedberg Conference on Applied Reservoir Characterization using Geostatistics, The Woodlands, Texas, Dec. 3-6.
  • 2000* | Caers, J., ""Direct sequential indicator simulation."" In Proceedings to the 6th International Geostatistics Congress, Kleingeld, W. and Krige, D. (eds.), Cape Town, South Africa, April l10-13, 12 pp.
  • 2000* | Caers, J., Srinivasan, S. and Journel, A.G., ""Geostatistical quantification of geological information in North Sea fluvial reservoirs, SPE Reservoir Evaluation and Engineering, SPE 63310, v. 3, no. 5, 457-467.
  • 2000 | Caers, J. and Srinivasan, S., ""A fast Markov chain Monte Carlo simulation method for conditioning reservoir models to dynamic data."" In Proceedings to the 7th European Conference on Mathematics of Oil Recovery, EAGE, Italy, Sept. 5-8, 8 pp.
  • 1999 | Srinivasan, S. and Caers, J., 1999.Conditioning reservoir models to dynamic data - A forward modeling perspective. In: SPE Annual Conference and Technical Exhibition, SPE 62941, Dallas, Oct 1-4.
  • 1999 | Caers, J., ""Multiple-point Geostatistics,"" Presented at the 12GOCAD Annual Meeting, Nancy, France, June 14-15.
  • 1999* | Caers, J., ""Basic linear geostatistics,"" Book review of M. Armstrong: Basic Linear Geostatistics. Earth Sciences Review, v. 47, pp. 146-147.
  • 1999 | Caers, J., ""Towards a pattern recognition-based geostatistics,"" paper presented at the Stanford Center for Reservoir Forecasting Annual Meeting, v. 12, May 13-14.
  • 1999 | Caers, J., ""Markov chain theory for spatial stochastic simulation, paper presented at the Stanford Center for Reservoir Forecasting Annual Meeting, v. 12, May 13-14.
  • 1999* | Caers, J. Beirlant, J. and Maes, M.A., ""Statistics for Modelling Heavy Tailed Distributions in Geology, Part I: Methodology,"" Mathematical Geology, Vol. 31, pp. 390-410.
  • 1999 | Caers, J., ""Extreme value statistics for the earth sciences,"" in Current Issues in Statistics, University Centre for Statistics, Katholieke Universiteir, Leuven, Belgium.
  • 1999* | Caers, J. and Van Dyck, J., ""A Double Bootstrap Method for Obtaining Confidence in Non-parametric tail estimation,"" Computational Statistics and Data Analysis, 26, 259-277.
  • 1999* | Caers, J., Beirlant, J. and Maes, M.A., ""Statistics for Modelling Heavy Tailed Distributions in Geology, Part II: Applications,"" Mathematical Geology, Vol. 31, pp. 411-434.
  • 1999* | Caers, J., ""Geostatistical modeling of offshore diamond deposits."" In Proceeding to the 6th International Geostatistics Congress, Kleingeld, W. and Krige, D. (eds.), Cape Town, South Africa, April 10-14, 12 pp.
  • 1999 | Caers, J., ""Stochastic Reservoir Characterization Using Multiple-point Geostatistics,"" in: S.J. Lippard, A. Naess, R. Singding Larsen, Proceedings to the Fifth Annual Conference of the International Association of Mathematical Geology, Trondheim, Norway
  • 1998* | Caers, J. and Maes, M.A., ""Statistics for Deciding on Tail Behaviour, Bounds and End-points,"" Structural Safety, Vol. 20, pp. 1-23.
  • 1998 | Caers, J. and Journel, A.G., ""A Neural Network Approach to Stochastic Simulation,"" GOCAD ENSG Conference on 3D Modelling of Natural Objects, Nancy, France, June 4-5.
  • 1998 | Maes, M.A. and Caers, J., ""Tail Estimation of Bounded Random Variables,"" IFIP Conference on Optimization and Reliability of Structural Systems, Krakow, Poland, May 11-13.
  • 1998 | Caers, J. and Journel, A.G., ""Stochastic Reservoir Simulation Using Neural Networks Trained on Outcrop Data,"" Proceedings of the SPE Technical Exhibition and Annual Conference, New Orleans, Sept. 28-29, pp. 321-337.
  • 1998* | Caers, J. and Maes, M.A., ""Global Valuation of Primary Diamond Deposits,"" 27th Symposium on the Application of Computer Methods and Operations Research in the Mineral Industry, Ed., C.T. Shaw, Imperial College, London, April 19-23.
  • 1997* | Caers, J. and Vervoort, A., ""Assessing the Quality of Diamonds,"" Mineral Resources Engineering, Vol. 5, pp. 155-177.
  • 1997* | Caers, J., Swennen, R. and Vervoort, A., ""Petrography and X-ray Computerized Tomography Applied as an Integral Part of a Rock Mechanics Investigation of Discontinuities,"" Trans. Instn. Min. Met., section B: Applied Earth Sciences, Vol. 106, pp. 35-44.

Advisee Degrees

  • 2011 | Antoine Bertoncello,PhD: Conditioning of Surface-Based models to wells and thickness maps
  • 2011 | Mehrdad Honarkhah, PhD: Stochastic simulation of patterns using distance-based pattern modeling
  • 2011 | Alex Galley, Msc
  • 2010 | Kwangwon Park, PhD: Modeling Uncertainty in Metric Space
  • 2009 | Jing Wang, MSc: A Metropolis Sampling Method to Assess Uncertainty of Seismic Impedance Inverted from Seismic Amplitude Data M.S.
  • 2008 | Hongmei Li, PhD: Hierarchic modeling and history matching of multi-scale flow barriers in channalized reservoirs
  • 2008 | Sepehr Fadaei, MSc: Streamline Assisted History Matching of Naturally Fractured Reservoirs Using the Probability Perturbation Method
  • 2008 | Indira Saripally, MSc: Evaluating Data Conditioning Accuracy of MPS Algorithms and the Impact on Flow Modeling
  • 2007 | Wentoa Zhou, MSc: Uncertainty assessment of subsurface flow by a PDF method
  • 2006 | Satomi Suzuki, PhD: Integrated evaluation of structural uncertainty using history matching from seismic imaging uncertainty model
  • 2006 | Scarlet Castro, PhD: A probabilistic approach to jointly integrate 3D/4D seismic, production data and geological information for building reservoir models
  • 2006 | Jose Akamine-Ramirez, MSc: A workflow for accounting for well-log uncertainty in modeling reservoirs with geostatistics
  • 2005 | Burc Arpat, PhD: Sequential Simulation with Patterns
  • 2005 | Omer I. Tureyen, PhD: A parallel modeling approach to reservori characterization
  • 2005 | Todd Hoffman, PhD: Geologically consistent history matching by perturbing facies
  • 2004 | Ozgur Karacali, MSc: Optimizing gridding parameters in a parallel multi-scale reservoir characterization workflow
  • 2004 | Joe Voelker, PhD: A reservoir characterization of Arab-D super-K as a discrete fracture network flow system, Ghawar field, Saudi Arabia
  • 2003 | Junrae Kim, MSc: Joint perturbation of facies distribution and net-to-gross in history matching
  • 2003 | Ying Xu, MSc: Classification of AVO patterns using MML clustering
  • 2002 | Rami Younis, MSc: Static-based upgridding methods
  • 2002 | Chunrong Dong, MSc: Channel recognition using feature-based geostatistics: application to a submarine channel reservoir
  • 2001 | Nicolas Remy, MSc: GsTL: a geostatistical library in C++
  • 2001 | Cristina Arroyo-Garcia, MSc: Automatic geobodies detection from seismic using unsupervised clustering

Advisee Publications

  • 2009 | Honarkhah, Mehrdad, 2009. Stochastic Simulation of Patterns using a distance-based pattern modeling. Winner of the IAMG 2009 International Student paper contest, IAMG 2009, Stanford University, August 23-28.
  • 2006 | Lisa Stright,Modeling, Upscaling and History Matching Thin, Irregularly-Shaped Flow Barriers; A Comprehensive Approach for Predicting Reservoir Connectivity. 1st Prize in the international student paper contest, PhD division at the SPE Annual Conference and Technical Exhibition, San Antonio, Sept 2006.
  • 2003 | Burc, Arpat,A multi-scale pattern-based approach to sequential simulation. 1st Prize in the international student paper contest, PhD division at the SPE Annual Conference and Technical Exhibition, Denver, Oct. 5-8.
  • 2002 | Younis, Rami, A static based upgridding method. 1st Prize in the international student paper contest, MS division at the SPE Annual Conference and Technical Exhibition, San Antonio, Sept 29-Oct 3.

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