J. Caers

发表

Combining geologic‐process models and geostatistics for conditional simulation of 3‐D subsurface heterogeneity

S. Gorelick, A. Boucher, H. A. Michael, 2010 .

Modeling of a Deepwater Turbidite Reservoir Conditional to Seismic Data Using Principal Component Analysis and Multiple-Point Geostatistics

S. Strebelle, J. Caers, K. Payrazyan, 2003 .

Conditional Simulation with Patterns

J. Caers, G. B. Arpat, 2007 .

A Distance-based Prior Model Parameterization for Constraining Solutions of Spatial Inverse Problems

J. Caers, Satomi Suzuki, S. Suzuki, 2008 .

Identifying discrete geologic structures that produce anomalous hydraulic response: An inverse modeling approach

S. Gorelick, J. Caers, M. Ronayne, 2008 .

Bayesian inverse problem and optimization with iterative spatial resampling

G. Mariéthoz, P. Renard, J. Caers, 2010 .

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

Tapan Mukerji, Jef Caers, Céline Scheidt, 2015 .

Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods

Adrian A. S. Barfod, J. Straubhaar, A. Christiansen, 2017, Hydrology and Earth System Sciences.

Quantifying geological uncertainty for flow and transport modeling in multi-modal heterogeneous formations

L. Feyen, J. Caers, 2006 .

A Combined Geostatistical and Source Model to Predict Superpermeability from Flowmeter Data: Application to the Ghawar Field

J. Caers, J. Voelker, 2005 .

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

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

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

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

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

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

The Algorithmic Building Blocks

G. Mariéthoz, J. Caers, 2014 .

Conditioning Surface-Based Geological Models to Well and Thickness Data

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

Surface-based model conditioning using an hybrid optimization : methodology and application

T. Sun, J. Caers, Hongmei Li, 2011 .

E10 Vf~TC~DS FOR HISTORY MATCHING UNDER ~E ~~AL~JNSTRAINT

J. Caers, 2008 .

Hybridization of the probability perturbation method with gradient information

Satomi Suzuki, Jef Caers, Kent Johansen, 2007 .

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

Jef Caers, J. Caers, 2007 .

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

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

History matching by jointly perturbing local facies proportions and their spatial distribution: Application to a North Sea reservoir

J. Caers, B. T. Hoffman, 2007 .

Coupled Geological Modeling and History Matching of Fine-scale Curvilinear Flow Barriers

J. Caers, Hongmei Li, L. Stright, 2006 .

Regional probability perturbations for history matching

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

Geologically Consistent History Matching of a Deepwater Turbidite Reservoir

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

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

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

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

Jef Caers, J. Caers, 2004 .

History Matching with the Probability Perturbation Method – Applications to a North Sea Reservoir

J. Caers, B. T. Hoffman, 2004 .

Geostatistical History Matching Using a Regional Probability Perturbation Method

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

Sequential Simulation under local non-linear constraints : Application to history matching

J. Caers, B. T. Hoffman, 2003 .

Methods for History Matching under Geological Constraints

J. Caers, J. Caers, 2002 .

A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping

J. Caers, R. Zuo, Ziye Wang, 2020 .

A multiscale method for large-scale inverse modeling: single-phase transient flow

H. Tchelepi, J. Caers, Jianlin Fu, 2009 .

A multiscale adjoint method for large-scale sensitivity computation in subsurface flow simulation

H. Tchelepi, J. Caers, Jianlin Fu, 2009 .

A multiscale adjoint method to compute sensitivity coefficients for flow in heterogeneous porous media

H. Tchelepi, J. Caers, Jianlin Fu, 2010 .

Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0)

S. Strebelle, J. Caers, Z. Yin, 2019, Geoscientific Model Development.

Quantifying structural uncertainty on fault networks using a marked point process within a Bayesian framework

J. Caers, Orhun Aydin, 2017 .

Conditioning Facies Simulations with Connectivity Data

G. Mariéthoz, P. Renard, J. Straubhaar, 2011 .

Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization

J. Caers, Satomi Suzuki, G. Caumon, 2008 .

Multiple-point Geostatistics: Stochastic Modeling with Training Images

G. Mariéthoz, J. Caers, 2014 .

A Workflow for Spatial Uncertainty Quantification using Distances and Kernels

J. Caers, C. Scheidt, 2007 .

Uncertainty Quantification Using Distances and Kernel Methods – Application to a Deepwater Turbidite Reservoir

J. Caers, C. Scheidt, 2008 .

History Matching With an Uncertain Geological Scenario

J. Caers, Satomi Suzuki, 2006 .

Interpreter's Corner—Stochastic integration of seismic data and geologic scenarios: A West Africa submarine channel saga

J. Caers, 2003 .

Comparing Training-Image Based Algorithms Using an Analysis of Distance

J. Caers, P. Tahmasebi, Xiaojin Tan, 2014, Mathematical Geosciences.

Simulation of Earth textures by conditional image quilting

G. Mariéthoz, J. Caers, P. Tahmasebi, 2014 .

Modeling Uncertainty in the Earth Sciences: Caers/Modeling Uncertainty in the Earth Sciences

J. Caers, 2011 .

History matching and uncertainty quantification of facies models with multiple geological interpretations

A. Boucher, J. Caers, C. Scheidt, 2013, Computational Geosciences.

Uncertainty Quantification of Medium‐Term Heat Storage From Short‐Term Geophysical Experiments Using Bayesian Evidential Learning

A. Dassargues, J. Caers, M. Klepikova, 2018 .

Geological realism in hydrogeological and geophysical inverse modeling: A review

P. Renard, T. Mukerji, J. Caers, 2015, 1701.01602.

Discovering geochemical patterns by factor-based cluster analysis

Jian Wang, Jef Caers, Renguang Zuo, 2017 .

A Method for Static-Based Up-Gridding

Rami M. Younis, J. Caers, R. Younis, 2002 .

Direct sequential indicator simulation

J. Caers, JEF CAERS, 2000 .

Direct Pattern-Based Simulation of Non-stationary Geostatistical Models

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

Stochastic modeling of subglacial topography exposes uncertainty in water routing at Jakobshavn Glacier

J. Caers, Z. Yin, D. Schroeder, 2020, Journal of Glaciology.

A Tree‐Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling

J. Caers, Z. Yin, E. Mackie, 2020, Water Resources Research.

Assessing the Value of Information of Geophysical Data For Groundwater Management

E. Auken, R. Knight, T. Mukerji, 2008 .

Joint Quantification of Uncertainty on Spatial and Non-spatial Reservoir Parameters

J. Caers, C. Scheidt, 2008 .

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.

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

Jef Caers, Ognjen Grujic, Alessandra Menafoglio, 2016 .

Universal kriging with training images

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

Assessment of Global Uncertainty for Early Appraisal of Hydrocarbon Fields

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

Reservoir Forecasting – the West Coast of Africa (WCA) Reservoir

G. Mariéthoz, J. Caers, 2014 .

Efficient probabilistic hydrogeophysical prediction using maximum covariance analysis 1 based metamodel of the forward problem 2 3 4

J. Caers, E. Oware, T. Hermans, 2019 .

Adaptive sequential space-filling design for geostatistical simulations

J. Caers, C. Scheidt, 2011 .

Downscaling saturations for modeling 4 D seismic data Scarlet

J. Caers, A. Castro, 2005 .

History matching under geological control with the probability perturbation method

J. Caers, 2003 .

A Two-Level Optimization Method for Geostatistical Integration of Production Data on Non-Uniform Grids

J. Caers, O. I. Tureyen, O. Tureyen, 2003 .

Reconstruction of Three-Dimensional Aquifer Heterogeneity from Two-Dimensional Geophysical Data

A. Englert, J. Caers, J. Vanderborght, 2017, Mathematical Geosciences.

SIMPAT SIMULATION OF FACIES THICKNESSES INTERPRETED THROUGH SEQUENCE STRATIGRAPHY: APPLICATION ON A CARBONATED OUTCROP

J. Caers, L. Dovera, 2006 .

Review on Statistical Analysis and Probability Theory

J. Caers, 2011 .

Model Complexity : Initial Investigations

J. Caers, Orhun Aydin, 2011 .

Stochastic Simulation without Random Function Theory

G. Mariéthoz, J. Caers, 2014 .

Integrating non-colocated well and geophysical data to capture subsurface heterogeneity at an aquifer recharge and recovery site

D. Cameron, R. Knight, J. Caers, 2017 .

A Benchmark Dataset for Fractured Reservoirs 1 2 3

T. Mukerji, J. Caers, A. Roy, 2015 .

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

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

Inverse Modeling with Training Images

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

2011 Best-paper awards

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

Multiple‐Point Geostatistics Algorithms

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

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

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

Rapid Construction of High-Resolution Models Constrained to Dynamic Data

L. Durlofsky, J. Caers, Yuguang Chen, 2010 .

Efficacy of Information in Mineral Exploration Drilling

T. Mukerji, J. Caers, C. Scheidt, 2022, Natural Resources Research.

Statistics for modelling heavy tailed distributions in geology: Part II Applications

J. Caers, Jan Beirlanty, Mar A. Maesz, 1999 .

Hierarchical Bayesian Inversion of Global Variables and Large‐Scale Spatial Fields

P. Kitanidis, J. Caers, Lijing Wang, 2022, Water Resources Research.

Integrating Non-Collocated Well and Geophysical Data to Capture Lithological Heterogeneity at a Managed Aquifer Recharge and Recovery Site

D. Cameron, R. Knight, J. Caers, 2016 .

Adding Local Accuracy to Direct Sequential Simulation

J. Caers, 2000 .

A Sequential Decision-Making Framework With Uncertainty Quantification for Groundwater Management

Mykel J. Kochenderfer, J. Caers, John Mern, 2022, Advances in Water Resources.

Sequential Value of Information for Subsurface Exploration Drilling

T. Mukerji, J. Caers, C. Scheidt, 2022, Natural Resources Research.

Stochastic Simulations Based on Random Function Theory

G. Mariéthoz, J. Caers, 2014 .

Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data: Application to a Flume Experiment

J. Caers, J. Hoffimann, Aaron Bufe, 2019, Journal of Geophysical Research: Earth Surface.

Geological realism in hydrogeological and geophysical inverse modeling: A review

P. Renard, T. Mukerji, J. Caers, 2015, 1701.01602.

Sequential Value of Information for Subsurface Exploration Drilling

T. Mukerji, J. Caers, C. Scheidt, 2022, Natural Resources Research.

Updating Joint Uncertainty in Trend and Depositional Scenario for Exploration and Early Appraisal Stage

J. Caers, C. Scheidt, 2014 .

History Matching of Structurally Complex Reservoirs Using a Distance-based Model Parameterization

J. Caers, S. Suzuki, 2013 .

Bootstrap confidence intervals for tail indices

Jef Caers, Jan Beirlant, Petra Vynckier, 1998 .

Valuation of primary diamond deposits by extreme value statistics

J. Caers, L. Rombouts, 1996 .

Intelligent prospector v1.0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration

J. Caers, John Mern, 2022 .

Spatial Statistical Similarity between Stacking Patterns : Linking Tank Experiments to Field Scale

T. Mukerji, J. Caers, Siyao Xu, 2013 .

Fast stochastic simulation of patterns using a multi-scale search

J. Caers, P. Tahmasebi, 2013 .

A Benchmark Synthetic Dataset for Fractured Reservoir

T. Mukerji, J. Caers, A. Roy, 2016 .

A workflow for building a synthetic benchmark dataset for fractured reservoirs

T. Mukerji, J. Caers, A. Roy, 2014 .

Sensitivity of Temperature Predictions in Basin-Scale Hydrothermal Models

J. Caers, N. Athens, 2018 .

Application of the Parallel Modelling Workflow to a North Sea Reservoir

J. Caers, O. I. Tureyen, 2005 .

MP Simulations Without Computing MP Statistics

G. Mariéthoz, P. Renard, J. Straubhaar, 2010 .

Re-addressing the Missing Scale Using Edges

J. Caers, L. Stright, 2005 .

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

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

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

Jef Caers, Céline Scheidt, Chris Paola, 2016 .

G s TL: the geostatistical template library in C++

Jef Caers, Nicolas Remy, Bruno Levy, 2002 .

(Thio)ureido anion receptors based on a 1,3-alternate oxacalix[2]arene[2]pyrimidine scaffold.

W. Dehaen, W. Maes, J. Caers, 2012, The Journal of organic chemistry.

Local and Global Sensitivity Analysis of a Reactive Transport Model Simulating Floodplain Redox Cycling

J. Caers, T. Babey, J. Bargar, 2021, Water Resources Research.

Obtaining Multiple History Matched Models Under Uncertain Geological Scenarios

J. Caers, C. Scheidt, Hyucksoo Park, 2011 .

Modeling Uncertainty of Complex Earth Systems in Metric Space

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

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

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

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

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

Bootstrap confidence intervals for reservoir model selection techniques

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

Representing Spatial Uncertainty Using Distances and Kernels

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

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

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

Geologic Modeling and History Matching of Multi-Scale Flow Barriers in Deep-Water Reservoirs: Methodology and Field Application, #40491 (2010)

M. Barton, J. Caers, Hongmei Li, 2008 .

Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1)

J. Caers, E. Mackie, Chen Zuo, 2021, Geoscientific Model Development.

Direct forecasting of global and spatial model parameters from dynamic data

Jihoon Park, Jef Caers, J. Caers, 2020, Comput. Geosci..

Identifying tails, bounds and end-points of random variables

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

Extreme value analysis of diamond-size distributions

J. Beirlant, J. Caers, P. Vynckier, 1996 .

Gravity inversion for geothermal exploration with uncertainty quantification

J. Caers, N. Athens, 2021, Geothermics.

The Probability Perturbation Method: A New Look at Bayesian Inverse Modeling

J. Caers, T. Hoffman, 2006 .

A parallel, multiscale approach to reservoir modeling

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

Statistics for Modeling Heavy Tailed Distributions in Geology: Part I. Methodology

J. Beirlant, J. Caers, M. Maes, 1999 .

Modeling Spatial Uncertainty

Jef Caers, J. Caers, 2011 .

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

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

Modeling Conditional Distributions of Facies from Seismic Using Neural Nets

Xianlin Ma, Jef Caers, Xianlin Ma, 2002 .

Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models

J. Caers, Z. Yin, Lewis Li, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Conditional simulation of categorical spatial variables using Gibbs sampling of a truncated multivariate normal distribution subject to linear inequality constraints

J. Caers, C. Scheidt, F. Fouedjio, 2020, Stochastic Environmental Research and Risk Assessment.

A Monte Carlo-based framework for assessing the value of information and development risk in geothermal exploration

Jef Caers, Noah D. Athens, J. Caers, 2019 .

Direct forecasting of reservoir performance using production data without history matching

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

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

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

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

Jef Caers, Thomas Hermans, Erasmus Oware, 2016 .

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 .

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

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

Efficient gradual deformation using a streamline-based proxy method

Jef Caers, J. Caers, 2003 .

Geostatistical History Matching Under Training-Image Based Geological Model Constraints

Jef Caers, J. Caers, 2002 .

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 .

Modeling Geological Scenario Uncertainty from Seismic Data Using Pattern Similarity

Tapan Mukerji, Jef Caers, Céline Scheidt, 2014 .

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

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

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

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

Uncertainty in training image‐based inversion of hydraulic head data constrained to ERT data: Workflow and case study

Jef Caers, Frédéric Nguyen, Thomas Hermans, 2014 .

Joint integration of 4 D seismic and production data using the probability perturbation method : a proposal Scarlet

J. Caers, A. Castro, 2004 .

1 Uncertainty Quantification in Inverse Problems : Model-Based versus Prediction-Focused Inversion

P. Renard, J. Caers, C. Scheidt, 2013 .

Modeling Uncertainty in the Earth Sciences

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 .

Quantifying the Effect of Precipitation on Landslide Hazard in Urbanized and Non‐Urbanized Areas

N. Diffenbaugh, J. Caers, S. Muthukrishnan, 2021, Geophysical Research Letters.

Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling

J. Caers, Mehrdad Honarkhah, 2010 .

Statistics for Modeling Heavy Tailed Distributions in Geology: Part II. Applications

J. Beirlant, J. Caers, M. Maes, 1999 .

Modeling Spatial Continuity

J. Caers, 2011 .

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 .

Petrography and X-ray computerized tomography applied as an integral part of a rock mechanics investigation of discontinuities

A. Vervoort, J. Caers, R. Swennen, 1997 .

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

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

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

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

A Geostatistical Approach to Streamline-Based History Matching

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

Stochastic simulation by image quilting of process-based geological models

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

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

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

Application of a multiple-point geostatistical model for understanding groundwater dynamics in a structurally heterogeneous aquifer

S. Gorelick, J. Caers, M. Ronayne, 2008 .

A Methodology for Establishing a Data Reliability Measure for Value of Spatial Information Problems

T. Mukerji, T. Mukerji, J. Caers, 2011 .

Nonparametric tail estimation using a double bootstrap method

J. Caers, J. Dyck, 1998 .

Bayesianism in the Geosciences

Jef Caers, J. Caers, 2018 .

Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes

J. Caers, C. Scheidt, M. Siegfried, 2020, Journal of Geophysical Research: Earth Surface.

History matching with Iterative Spatial Resampling (ISR)

G. Mariéthoz, P. Renard, J. Caers, 2010 .

History Matching Under Training-Image-Based Geological Model Constraints

Jef Caers, J. Caers, 2003 .

Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty

J. Caers, N. Athens, 2021, Mathematical Geosciences.

Optimizing Carbon Storage Operations for Long-Term Safety

Mykel J. Kochenderfer, J. Caers, John Mern, 2023, ArXiv.

Modeling Uncertainty: Concepts and Philosophies

Jef Caers, J. Caers, 2011 .

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 .

A Direct Sequential Simulation Approach to Streamline-Based History Matching

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

Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis

L. Peeters, J. Caers, E. Mackie, 2023, Comput. Geosci..

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..

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..

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

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

Geostatistical Reservoir Modelling using Statistical Pattern Recognition

Jef Caers, J. Caers, 2001 .

Reconstruction of Three-Dimensional Aquifer Heterogeneity from Two-Dimensional Geophysical Data

A. Englert, J. Caers, J. Vanderborght, 2017, Mathematical Geosciences.

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

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

Modeling Structural Uncertainty

Jef Caers, J. Caers, 2011 .

Modeling Spatial and Structural Uncertainty in the Subsurface

J. Caers, M. Gerritsen, 2013 .

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

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

A POMDP Model for Safe Geological Carbon Sequestration

Mykel J. Kochenderfer, J. Caers, Anthony Corso, 2022, ArXiv.

Stochastic Reservoir Simulation Using Neural Networks Trained on Outcrop Data

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

Formulating and Solving the Data-Consistent Geophysical Inverse Problem for Subsurface Modeling Applications

T. Mukerji, J. Caers, Lijing Wang, 2023 .

SGEMS-UQ: An uncertainty quantification toolkit for SGEMS

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

3D Modeling of Large-Scale Geological Structures by Linear Combinations of Implicit Functions: Application to a Large Banded Iron Formation

J. Caers, Liang Yang, P. Achtziger-Zupancic, 2021, Natural Resources Research.

Hierarchical Bayesian Inversion of Global Variables and Large‐Scale Spatial Fields

P. Kitanidis, J. Caers, Lijing Wang, 2021, Water Resources Research.

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

Jef Caers, Hilde Meisingset, Eli Zachariassen, 2009 .

Automatic geobody detection from seismic data using minimum message length clustering

Ying Xu, Jef Caers, Cristina Arroyo-Garcia, 2004, Comput. Geosci..

Constructing Priors for Geophysical Inversions Constrained by Surface and Borehole Geochemistry

J. Caers, C. Scheidt, Zhen Yin, 2024, Surveys in geophysics.

BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations

Robert J. Moss, Mykel J. Kochenderfer, J. Caers, 2023, ArXiv.