Jef Caers

发表

A Practical Data Integration Approach to History Matching: Application to a Deepwater Reservoir

B. Todd Hoffman, Jef Caers, Xian-Huan Wen, 2006 .

Modeling Uncertainty of Complex Earth Systems in Metric Space

Jef Caers, Céline Scheidt, J. Caers, 2015 .

Modeling Uncertainty: Concepts and Philosophies

Jef Caers, J. Caers, 2011 .

Hierarchic modeling and history matching of multi-scale flow barriers in channelized reservoirs

Jef Caers, Hongmei Li, 2007 .

2011 Best-paper awards

Jef Caers, J. Caers, 2012, Comput. Geosci..

Inverse Modeling with Training Images

Jef Caers, Gregoire Mariethoz, G. Mariéthoz, 2014 .

Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir Modeling

Jef Caers, Céline Scheidt, Darryl Fenwick, 2014, Mathematical Geosciences.

Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal

Jef Caers, Céline Scheidt, Pejman Tahmasebi, 2015, Computational Geosciences.

Integration of Engineering and Geological Uncertainty for Reservoir Performance Prediction Using a Distance-Based Approach

Jef Caers, Céline Scheidt, 2011 .

Prediction-Focused Subsurface Modeling: Investigating the Need for Accuracy in Flow-Based Inverse Modeling

Philippe Renard, Jef Caers, Céline Scheidt, 2015, Mathematical Geosciences.

Automatic Histogram and Variogram Reproduction in Simulated Annealing Simulation

Jef Caers, 2001 .

Multiple‐Point Geostatistics Algorithms

Jef Caers, Gregoire Mariethoz, G. Mariéthoz, 2014 .

Training Image Construction

Jef Caers, Gregoire Mariethoz, 2014 .

Sequential simulation with patterns

Jef Caers, Guven Burc Arpat, 2005 .

Direct prediction of spatially and temporally varying physical properties from time‐lapse electrical resistance data

Jef Caers, Thomas Hermans, Erasmus Oware, 2016 .

Modeling Uncertainty in the Earth Sciences

Jef Caers, J. Caers, 2011 .

SGEMS-UQ: An uncertainty quantification toolkit for SGEMS

Alexandre Boucher, Jef Caers, Lewis Li, 2014, Comput. Geosci..

Solving spatial inverse problems using the probability perturbation method: An S-GEMS implementation

Ting Li, Jef Caers, 2008, Comput. Geosci..

Can short-term heat tracing experiments predict the long-term behavior of ATES systems ?

Jef Caers, Nolwenn Lesparre, Frédéric Nguyen, 2018 .

Editorial: A special issue on benchmark problems, datasets and methodologies for the computational geosciences

Jef Caers, 2013 .

Bayesianism in the Geosciences

Jef Caers, J. Caers, 2018 .

Data for: Assessing and Visualizing Uncertainty of Geological Surfaces Using Level Sets with Stochastic Motion

Jef Caers, Ognjen Grujic, Céline Scheidt, 2018 .

MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space

Pejman Tahmasebi, Muhammad Sahimi, Jef Caers, 2014, Comput. Geosci..

Quantifying natural delta variability using a multiple‐point geostatistics prior uncertainty model

Jef Caers, Céline Scheidt, Chris Paola, 2016 .

Nonstationary Modeling with Training Images

Gregoire Mariethoz, Jef Caers, Gregoire Mariethoz, 2014 .

A fast Markov chain Monte Carlo method for conditioning reservoir models to dynamic data

Jef Caers, Sanjay Srinivasan, 2000 .

History Matching Under Training-Image-Based Geological Model Constraints

Jef Caers, J. Caers, 2003 .

ASSESSING THE QUALITY OF DIAMONDS

Jef Caers, André Vervoort, 1996 .

VRGE: An Immersive Visualization Application for the Geosciences

Jef Caers, David A. B. Hyde, Tyler R. Hall, 2018, 2018 IEEE Scientific Visualization Conference (SciVis).

Data Integration using the Probability Perturbation Method

Jef Caers, 2005 .

Geostatistical Reservoir Modelling using Statistical Pattern Recognition

Jef Caers, J. Caers, 2001 .

DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments

Guang Yang, Jihoon Park, Jef Caers, 2016, Comput. Geosci..

Stochastic Reservoir Simulation Using Neural Networks Trained on Outcrop Data

Jef Caers, Andre G. Journel, A. Journel, 1998 .

Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion

Liang Yang, Jef Caers, Ognjen Grujic, 2019, Comput. Geosci..

Value of Information

Jef Caers, 2011 .

A multi-resolution workflow to generate high-resolution models constrained to dynamic data

Louis J. Durlofsky, Jef Caers, Céline Scheidt, 2011 .

A flow-based pattern recognition algorithm for rapid quantification of geologic uncertainty

Jef Caers, Faruk O. Alpak, Mark D. Barton, 2010 .

Assessing seismic uncertainty via geostatistical velocity-model perturbation and image registration: An application to subsalt imaging

Paul Sava, Jef Caers, Lewis Li, 2015 .

Statistical Pattern Recognition and Geostatistical Data Integration

Jef Caers, Sanjay Srinivasan, 2002 .

Uncertainty Maps for Seismic Images through Geostatistical Model Randomization

Paul Sava, Jef Caers, Lewis Li, 2014 .

Validation and Quality Control

Jef Caers, Gregoire Mariethoz, 2014 .

Developing Training Image-Based Priors for Inversion of Subsurface Geophysical and Flow Data

Jef Caers, 2014 .

A Parallel Scheme for Multi-scale Data Integration

Jef Caers, Omer Inanc Tureyen, 2005 .

A Multiple-scale, Pattern-based Approach to Sequential Simulation

Jef Caers, G. Burc Arpat, J. Caers, 2005 .

Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling

Orhun Aydin, Jef Caers, J. Caers, 2013, Computational Geosciences.

Representing Spatial Uncertainty Using Distances and Kernels

Jef Caers, Céline Scheidt, J. Caers, 2009 .

Stochastic simulation by image quilting of process-based geological models

Jef Caers, Céline Scheidt, Adrian A. S. Barfod, 2017, Comput. Geosci..

Direct forecasting of reservoir performance using production data without history matching

Jef Caers, Céline Scheidt, Lewis Li, 2017, Computational Geosciences.

Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data

Guillaume Caumon, Nicolas Cherpeau, Jef Caers, 2012, Mathematical Geosciences.

Example Case Study

Jef Caers, 2011 .

A parallel, multiscale approach to reservoir modeling

Jef Caers, Omer Inanc Tureyen, J. Caers, 2004 .

A Direct Sequential Simulation Approach to Streamline-Based History Matching

Jef Caers, Anthony R. Kovscek, H. Gross, 2005 .

A Geostatistical Approach to Streamline-Based History Matching

Jef Caers, Yuandong Wang, Anthony R. Kovscek, 2002 .

Sensitivity to Prior and Reliability Measurements for Value of Geophysical Information

Tapan Mukerji, Jef Caers, W. J. Trainor, 2009 .

Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification

Jef Caers, Darryl Fenwick, Andre Jung, 2013, Computational Geosciences.

Multivariate Modeling with Training Images

Jef Caers, Gregoire Mariethoz, 2014 .

Modeling Response Uncertainty

Jef Caers, 2011 .

Assessing the Impact of Fault Connectivity Uncertainty in Reservoir Studies using Explicit Discretization

Guillaume Caumon, Nicolas Cherpeau, Jef Caers, 2011 .

A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit

Jef Caers, Francky Fouedjio, Celine Scheidt, 2021, Comput. Geosci..

Efficient gradual deformation using a streamline-based proxy method

Jef Caers, J. Caers, 2003 .

Assessment of Global Uncertainty for Early Appraisal of Hydrocarbon Fields

Jef Caers, Sebastien Strebelle, Andre G. Journel, 2004 .

Modeling Conditional Distributions of Facies from Seismic Using Neural Nets

Xianlin Ma, Jef Caers, Xianlin Ma, 2002 .

Modeling uncertainty in metric space

Jef Caers, Céline Scheidt, Kwangwon Park, 2009 .

Reconciling Prior Geologic Information With Production Data Using Streamlines: Application to a Giant Middle-Eastern Oil Field

Mohammed Alawi Agil, Jef Caers, Darryl Fenwick, 2005 .

Geostatistical History Matching Using a Regional Probability Perturbation Method

Jef Caers, B. Todd Hoffman, J. Caers, 2003 .

Modeling Structural Uncertainty

Jef Caers, J. Caers, 2011 .

A Probabilistic Integration of Well Log, Geological Information, 3D/4D Seismic, and Production Data: Application to the Oseberg Field

Jef Caers, Scarlet Castro, Cecilie Otterlei, 2006 .

Functional Approach to Data Mining, Forecasting, and Uncertainty Quantification in Unconventional Reservoirs

Jef Caers, Ognjen Grujic, J. Caers, 2015 .

Discovering geochemical patterns by factor-based cluster analysis

Jian Wang, Jef Caers, Renguang Zuo, 2017 .

Multiple-point geostatistics: a powerful tool to improve groundwater flow and transport predictions in multi-modal formations

Jef Caers, L. Feyen, J. Caers, 2005 .

Geological modelling and history matching of multi-scale flow barriers in channelized reservoirs: methodology and application

Jef Caers, Hongmei Li, J. Caers, 2011 .

Multiple-point Geostatistics: A Quantitative Vehicle for Integrating Geologic Analogs into Multiple Reservoir Models

Jef Caers, Tuanfeng Zhang, J. Caers, 2004 .

Hybridization of the probability perturbation method with gradient information

Satomi Suzuki, Jef Caers, Kent Johansen, 2007 .

Bootstrap confidence intervals for tail indices

Jef Caers, Jan Beirlant, Petra Vynckier, 1998 .

High resolution aquifer characterization using crosshole GPR full‐waveform tomography: Comparison with direct‐push and tracer test data

Jan Vanderborght, Harry Vereecken, Jef Caers, 2016 .

Geostatistical Quantification of Geological Information for a Fluvial-Type North Sea Reservoir

Jef Caers, Sanjay Srinivasan, Andre G. Journel, 2000 .

History Matching of Naturally Fractured Reservoirs Using Elastic Stress Simulation and Probability Perturbation Method

Satomi Suzuki, Jef Caers, Colin Daly, 2007 .

Incorporating 4D seismic data into reservoir models while honoring production and geologic data: A case study

Jef Caers, Hilde Meisingset, Eli Zachariassen, 2009 .

Conditioning reservoir models to dynamic data : A forward modeling perspective

Jef Caers, Sanjay Srinivasan, 2000 .

Streamline-Based History Matching Using Geostatistical Constraints: Application to a Giant, Mature Carbonate Reservoir

Jef Caers, Anthony R. Kovscek, H. Gross, 2004 .

Geostatistical Quantification of Geological Information for a Fluvial-type North Sea Reservoir

Jef Caers, Sanjay Srinivasan, Andre G. Journel, 1999 .

Feature-Based Geostatistics: An Application to a Submarine Channel Reservoir

Jef Caers, Sebastien Strebelle, Burc Arpat, 2002 .

The construction of stochastic facies-based models conditioned to ground penetrating radar images

Jef Caers, Stephen Moysey, Rosemary Knight, 2003 .

The Probability Perturbation Method – An Alternative to a Traditional Bayesian Approach for Solving Inverse Problems

Jef Caers, J. Caers, 2004 .

A multiscale method for subsurface inverse modeling: Single-phase transient flow

Hamdi A. Tchelepi, Jef Caers, Jianlin Fu, 2011 .

A Geostatistical Method for Characterizing Superpermeability From Flow-Meter Data: Application to Ghawar Field

Jef Caers, J. Caers, J. Voelker, 2003 .

Bootstrap confidence intervals for reservoir model selection techniques

Jef Caers, Céline Scheidt, J. Caers, 2010 .

Identifying tails, bounds and end-points of random variables

Jef Caers, Marc A. Maes, J. Caers, 1998 .

A workflow to account for uncertainty in well-log data in 3 D geostatistical reservoir modeling

Jef Caers, J. Caers, Jose Akamine, 2007 .

Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods

Jef Caers, Celine Scheidt, J. Caers, 2018, GEOPHYSICS.

Modeling Geological Scenario Uncertainty from Seismic Data Using Pattern Similarity

Tapan Mukerji, Jef Caers, Céline Scheidt, 2014 .

Probabilistic integration of geologic scenarios, seismic, and production data—a West Africa turbidite reservoir case study

Jef Caers, Xian-Huan Wen, Sebastien Strebelle, 2006 .

Universal kriging with training images

Jef Caers, Thomas Romary, J. Caers, 2015 .

Updating Uncertainty in the Conceptual Geological Representation of Fractured Reservoirs Using Production Data

Jef Caers, Darryl Fenwick, A. Jung, 2013 .

History Matching of Naturally Fractured Reservoirs Using Elastic Stress Simulation and Probability Perturbation Method

Satomi Suzuki, Jef Caers, Colin Daly, 2005 .

Multi-point geostatistics – an introductory overview

Jef Caers, C. Daly, 2010 .

A Distance-based Representation of Reservoir Uncertainty: the Metric EnKF

Jef Caers, J. Caers, K. Park, 2008 .

Conditioning Surface-Based Geological Models to Well and Thickness Data

Gregoire Mariethoz, Jef Caers, Hongmei Li, 2013, Mathematical Geosciences.

Direct Pattern-Based Simulation of Non-stationary Geostatistical Models

Jef Caers, Mehrdad Honarkhah, J. Caers, 2012, Mathematical Geosciences.

History Matching Under Geological Control: Application to a North Sea Reservoir

Jef Caers, B. Todd Hoffman, J. Caers, 2005 .

1 DEFINING A RANDOM FUNCTION FROM A GIVEN SET OF MODEL REALIZATIONS

Jef Caers, Kwangwon Park, Céline Scheit, 2009 .

Using Distances and Kernels to Parameterize Spatial Uncertainty for Flow Applications

Jef Caers, Céline Scheidt, 2007 .

Regional probability perturbations for history matching

Jef Caers, B. Todd Hoffman, J. Caers, 2005 .

Tetris : a training image generator for SGeMS

Alexandre Boucher, Jef Caers, Addy Satija, 2010 .

Mathematical Reformulation of Highly Nonlinear Large-scale Inverse Problem in Metric Space

Jef Caers, C. Scheidt, K. Park, 2010 .

Cokriging for multivariate Hilbert space valued random fields: application to multi-fidelity computer code emulation

Jef Caers, Ognjen Grujic, Alessandra Menafoglio, 2018, Stochastic Environmental Research and Risk Assessment.

Direct forecasting of subsurface flow response from non-linear dynamic data by linear least-squares in canonical functional principal component space

Jef Caers, Addy Satija, J. Caers, 2014 .

Modeling Spatial Uncertainty

Jef Caers, J. Caers, 2011 .

Geostatistical integration of rock physics, seismic amplitudes, and geologic models in North Sea turbidite systems

Tapan Mukerji, Jef Caers, Per Avseth, 2001 .

Assessing the Probability of Training Image-Based Geological Scenarios Using Geophysical Data

Frédéric Nguyen, Jef Caers, Thomas Hermans, 2014 .

Improved Modeling of 4D Seismic Response Using Flow-Based Downscaling of Coarse Grid Saturations

Louis J. Durlofsky, Jef Caers, Scarlet Castro, 2006 .

Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods--Application to a West Africa Deepwater Turbidite Reservoir

Jef Caers, Céline Scheidt, J. Caers, 2009 .

Comparing the Gradual Deformation with the Probability Perturbation Method for Solving Inverse Problems

Jef Caers, J. Caers, 2007 .

Geologically Consistent History Matching of a Deepwater Turbidite Reservoir

Jef Caers, Xian-Huan Wen, Sebastien Strebelle, 2005 .

Rapid Construction of Ensembles of High-resolution Reservoir Models Constrained to Production Data

Louis J. Durlofsky, Jef Caers, Céline Scheidt, 2010 .

Can Geostatistical Models Represent Nature’s Variability? An Analysis Using Flume Experiments

Jef Caers, Céline Scheidt, Chris Paola, 2015 .

Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case

Tapan Mukerji, Jef Caers, Céline Scheidt, 2015 .

Universal Kriging of functional data: Trace-variography vs cross-variography? Application to gas forecasting in unconventional shales

Jef Caers, Ognjen Grujic, Alessandra Menafoglio, 2016 .

Modeling of a Deepwater Turbidite Reservoir Conditional to Seismic Data Using Multiple-Point Geostatistics

Jef Caers, Sebastien Strebelle, Karen Payrazyan, 2002 .

Geostatistical History Matching Under Training-Image Based Geological Model Constraints

Jef Caers, J. Caers, 2002 .