| Year |
Citation |
Score |
| 2020 |
Yin Z, Strebelle S, Caers J. Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) Geoscientific Model Development. 13: 651-672. DOI: 10.5194/Gmd-13-651-2020 |
0.823 |
|
| 2020 |
Zuo C, Yin Z, Pan Z, MacKie EJ, Caers J. A Tree‐Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling Water Resources Research. 56. DOI: 10.1029/2019Wr026130 |
0.34 |
|
| 2020 |
MacKie EJ, Schroeder DM, Caers J, Siegfried MR, Scheidt C. Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes Journal of Geophysical Research. 125. DOI: 10.1029/2019Jf005420 |
0.317 |
|
| 2020 |
Wang Z, Yin Z, Caers J, Zuo R. A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping Geoscience Frontiers. DOI: 10.1016/J.Gsf.2020.02.010 |
0.451 |
|
| 2020 |
Park J, Caers J. Direct forecasting of global and spatial model parameters from dynamic data Computers & Geosciences. 143: 104567. DOI: 10.1016/J.Cageo.2020.104567 |
0.496 |
|
| 2019 |
Hoffimann J, Bufe A, Caers J. Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data: Application to a Flume Experiment Journal of Geophysical Research. 124: 2561-2578. DOI: 10.1029/2019Jf005245 |
0.313 |
|
| 2019 |
Yang L, Hyde D, Grujic O, Scheidt C, Caers J. Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion Computers & Geosciences. 122: 54-67. DOI: 10.1016/J.Cageo.2018.10.006 |
0.428 |
|
| 2018 |
Phelps G, Scheidt C, Caers J. Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods Geophysics. 83. DOI: 10.1190/Geo2017-0742.1 |
0.42 |
|
| 2018 |
Gueting N, Caers J, Comunian A, Vanderborght J, Englert A. Reconstruction of Three-Dimensional Aquifer Heterogeneity from Two-Dimensional Geophysical Data Mathematical Geosciences. 50: 1-23. DOI: 10.1007/S11004-017-9694-X |
0.472 |
|
| 2018 |
Hermans T, Nguyen F, Klepikova M, Dassargues A, Caers J. Uncertainty Quantification of Medium‐Term Heat Storage From Short‐Term Geophysical Experiments Using Bayesian Evidential Learning Water Resources Research. 54: 2931-2948. DOI: 10.1002/2017Wr022135 |
0.416 |
|
| 2017 |
Barfod AAS, Møller I, Christiansen AV, Høyer A, Hoffimann J, Straubhaar J, Caers J. Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods Hydrology and Earth System Sciences. 22: 3351-3373. DOI: 10.5194/Hess-22-3351-2018 |
0.51 |
|
| 2017 |
Barfod AAS, Straubhaar J, Høyer A, Hoffimann J, Christiansen AV, Møller I, Caers J. Hydrostratigraphic modelling using multiple-point statistics andairborne transient electromagnetic methods Hydrology and Earth System Sciences Discussions. 1-37. DOI: 10.5194/Hess-2017-413 |
0.512 |
|
| 2017 |
Gottschalk IP, Hermans T, Knight R, Caers J, Cameron DA, Regnery J, McCray JE. Integrating non-colocated well and geophysical data to capture subsurface heterogeneity at an aquifer recharge and recovery site Journal of Hydrology. 555: 407-419. DOI: 10.1016/J.Jhydrol.2017.10.028 |
0.49 |
|
| 2017 |
Hoffimann J, Scheidt C, Barfod A, Caers J. Stochastic simulation by image quilting of process-based geological models Computers & Geosciences. 106: 18-32. DOI: 10.1016/J.Cageo.2017.05.012 |
0.501 |
|
| 2017 |
Satija A, Scheidt C, Li L, Caers J. Direct forecasting of reservoir performance using production data without history matching Computational Geosciences. 21: 315-333. DOI: 10.1007/S10596-017-9614-7 |
0.494 |
|
| 2017 |
Grujic O, Menafoglio A, Yang G, Caers J. Cokriging for multivariate Hilbert space valued random fields: application to multi-fidelity computer code emulation Stochastic Environmental Research and Risk Assessment. 32: 1955-1971. DOI: 10.1007/S00477-017-1486-9 |
0.419 |
|
| 2017 |
Gueting N, Vienken T, Klotzsche A, Kruk Jvd, Vanderborght J, Caers J, Vereecken H, Englert A. High resolution aquifer characterization using crosshole GPR full-waveform tomography: Comparison with direct-push and tracer test data Water Resources Research. 53: 49-72. DOI: 10.1002/2016Wr019498 |
0.392 |
|
| 2016 |
Menafoglio A, Grujic O, Caers J. Universal Kriging of functional data: Trace-variography vs cross-variography? Application to gas forecasting in unconventional shales Spatial Statistics. 15: 39-55. DOI: 10.1016/J.Spasta.2015.12.003 |
0.41 |
|
| 2016 |
Park J, Yang G, Satija A, Scheidt C, Caers J. DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments Computers and Geosciences. 97: 15-29. DOI: 10.1016/J.Cageo.2016.08.021 |
0.472 |
|
| 2016 |
Hermans T, Oware E, Caers J. Direct prediction of spatially and temporally varying physical properties from time‐lapse electrical resistance data Water Resources Research. 52: 7262-7283. DOI: 10.1002/2016Wr019126 |
0.443 |
|
| 2016 |
Scheidt C, Fernandes AM, Paola C, Caers J. Quantifying natural delta variability using a multiple-point geostatistics prior uncertainty model Journal of Geophysical Research: Earth Surface. 121: 1800-1818. DOI: 10.1002/2016Jf003922 |
0.406 |
|
| 2015 |
Li L, Caers J, Sava P. Assessing seismic uncertainty via geostatistical velocity-model perturbation and image registration: An application to subsalt imaging Leading Edge. 34: 1064-1070. DOI: 10.1190/Tle34091064.1 |
0.474 |
|
| 2015 |
Scheidt C, Jeong C, Mukerji T, Caers J. Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case Geophysics. 80. DOI: 10.1190/Geo2015-0084.1 |
0.53 |
|
| 2015 |
Li L, Romary T, Caers J. Universal kriging with training images Spatial Statistics. 14: 240-268. DOI: 10.1016/J.Spasta.2015.04.004 |
0.467 |
|
| 2015 |
Linde N, Renard P, Mukerji T, Caers J. Geological realism in hydrogeological and geophysical inverse modeling: A review Advances in Water Resources. 86: 86-101. DOI: 10.1016/J.Advwatres.2015.09.019 |
0.676 |
|
| 2015 |
Satija A, Caers J. Direct forecasting of subsurface flow response from non-linear dynamic data by linear least-squares in canonical functional principal component space Advances in Water Resources. 77: 69-81. DOI: 10.1016/J.Advwatres.2015.01.002 |
0.481 |
|
| 2015 |
Scheidt C, Tahmasebi P, Pontiggia M, Da Pra A, Caers J. Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal Computational Geosciences. 19: 805-820. DOI: 10.1007/S10596-015-9491-X |
0.506 |
|
| 2015 |
Caers J, Park K, Scheidt C. Modeling uncertainty of complex earth systems in metric space Handbook of Geomathematics: Second Edition. 2965-2993. DOI: 10.1007/978-3-642-54551-1_29 |
0.382 |
|
| 2015 |
Hermans T, Nguyen F, Caers J. Uncertainty in training image-based inversion of hydraulic head data constrained to ERT data: Workflow and case study Water Resources Research. 51: 5332-5352. DOI: 10.1002/2014Wr016460 |
0.557 |
|
| 2015 |
Satija A, Caers J. Forecasting reservoir performance with production data without history matching-libyan reservoir study Petroleum Geostatistics 2015. 363-367. |
0.334 |
|
| 2015 |
Menafoglio A, Grujic O, Caers J. Forecasting production decline rate in unconventional resources by kriging of functional data Petroleum Geostatistics 2015. 253-257. |
0.353 |
|
| 2015 |
Huber E, Aydin O, Huggenberger P, Caers J. Conditioning marked point process models with incomplete geophysical data Petroleum Geostatistics 2015. 233-237. |
0.358 |
|
| 2015 |
Corradi C, Bazzana M, Da Pra A, Pontiggia M, Caers J, Scheidt C. MPS application in carbonate field and joint probability updating of trend and depositional scenario Petroleum Geostatistics 2015. 208-212. |
0.411 |
|
| 2014 |
Roy A, Shin Y, Mukerji T, Caers J, Aydin O. A workflow for building a synthetic benchmark dataset for fractured reservoirs Seg Technical Program Expanded Abstracts. DOI: 10.1190/Segam2014-1609.1 |
0.342 |
|
| 2014 |
Li L, Caers J, Sava P. Uncertainty Maps for Seismic Images through Geostatistical Model Randomization Seg Technical Program Expanded Abstracts. DOI: 10.1190/Segam2014-1402.1 |
0.444 |
|
| 2014 |
Jeong C, Scheidt C, Caers J, Mukerji T. Modeling Geological Scenario Uncertainty from Seismic Data Using Pattern Similarity Seg Technical Program Expanded Abstracts. DOI: 10.1190/Segam2014-1092.1 |
0.473 |
|
| 2014 |
Tahmasebi P, Sahimi M, Caers J. MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in fourier space Computers and Geosciences. 67: 75-88. DOI: 10.1016/J.Cageo.2014.03.009 |
0.466 |
|
| 2014 |
Li L, Boucher A, Caers J. SGEMS-UQ: An uncertainty quantification toolkit for SGEMS Computers and Geosciences. 62: 12-24. DOI: 10.1016/J.Cageo.2013.09.009 |
0.696 |
|
| 2014 |
Fenwick D, Scheidt C, Caers J. Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir Modeling Mathematical Geosciences. 46: 493-511. DOI: 10.1007/S11004-014-9530-5 |
0.411 |
|
| 2014 |
Scheidt C, Renard P, Caers J. Prediction-Focused Subsurface Modeling: Investigating the Need for Accuracy in Flow-Based Inverse Modeling Mathematical Geosciences. 47: 173-191. DOI: 10.1007/S11004-014-9521-6 |
0.687 |
|
| 2014 |
Tan X, Tahmasebi P, Caers J. Comparing training-image based algorithms using an analysis of distance Mathematical Geosciences. 46: 149-169. DOI: 10.1007/S11004-013-9482-1 |
0.426 |
|
| 2014 |
Mariethoz G, Caers J. Multiple-point Geostatistics: Stochastic Modeling with Training Images Multiple-Point Geostatistics: Stochastic Modeling With Training Images. 1-364. DOI: 10.1002/9781118662953 |
0.66 |
|
| 2014 |
Mahmud K, Mariethoz G, Caers J, Tahmasebi P, Baker A. Simulation of Earth textures by conditional image quilting Water Resources Research. 50: 3088-3107. DOI: 10.1002/2013Wr015069 |
0.658 |
|
| 2014 |
Scheidt C, Caers J. Updating joint uncertainty in trend and depositional scenario for exploration and early appraisal stage 2nd Eage Integrated Reservoir Modelling Conference - Uncertainty Management: Are We Doing It Right?. |
0.359 |
|
| 2013 |
Bertoncello A, Sun T, Li H, Mariethoz G, Caers J. Conditioning Surface-Based Geological Models to Well and Thickness Data Mathematical Geosciences. 45: 873-893. DOI: 10.1007/S11004-013-9455-4 |
0.713 |
|
| 2013 |
Jung A, Fenwick DH, Caers J. Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification Computational Geosciences. 17: 1015-1031. DOI: 10.1007/S10596-013-9372-0 |
0.486 |
|
| 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. 17: 609-621. DOI: 10.1007/S10596-013-9343-5 |
0.757 |
|
| 2013 |
Aydin O, Caers J. Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling Computational Geosciences. 17: 417-429. DOI: 10.1007/S10596-013-9340-8 |
0.444 |
|
| 2013 |
Jung A, Fenwick D, Caers J. Updating uncertainty in the conceptual geological representation of fractured reservoirs using production data 75th European Association of Geoscientists and Engineers Conference and Exhibition 2013 Incorporating Spe Europec 2013: Changing Frontiers. 3024-3028. |
0.404 |
|
| 2012 |
Caers J. Data Inversion Under Geological Scenario Uncertainty Seg Technical Program Expanded Abstracts. 1-2. DOI: 10.1190/Segam2012-0055.1 |
0.416 |
|
| 2012 |
Honarkhah M, Caers J. Direct Pattern-Based Simulation of Non-stationary Geostatistical Models Mathematical Geosciences. 44: 651-672. DOI: 10.1007/S11004-012-9413-6 |
0.497 |
|
| 2012 |
Cherpeau N, Caumon G, Caers J, Lévy B. Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data Mathematical Geosciences. 44: 147-168. DOI: 10.1007/S11004-012-9389-2 |
0.693 |
|
| 2012 |
Fenwick D, Caers J. Novel metric space methods for data integration Integrated Reservoir Modelling: Are We Doing It Right?. |
0.326 |
|
| 2012 |
Park H, Caers J. History matching under uncertain geological scenario 74th Eage Conference and Exhibition Incorporating Spe Europec 2012. |
0.318 |
|
| 2011 |
Caers J, Scheidt C. Integration of engineering and geological uncertainty for reservoir performance prediction using a distance-based approach Aapg Memoir. 191-202. DOI: 10.1306/13301414M963032 |
0.395 |
|
| 2011 |
Li H, Caers J. Geological Modelling and History Matching of Multi-Scale Flow Barriers in Channelized Reservoirs: Methodology and Application Petroleum Geoscience. 17: 17-34. DOI: 10.1144/1354-079309-825 |
0.46 |
|
| 2011 |
Fu J, Caers J, Tchelepi HA. A multiscale method for subsurface inverse modeling: Single-phase transient flow Advances in Water Resources. 34: 967-979. DOI: 10.1016/J.Advwatres.2011.05.001 |
0.477 |
|
| 2011 |
Trainor-Guitton WJ, Caers JK, Mukerji T. A Methodology for Establishing a Data Reliability Measure for Value of Spatial Information Problems Mathematical Geosciences. 43: 929-949. DOI: 10.1007/s11004-011-9367-0 |
0.364 |
|
| 2011 |
Renard P, Straubhaar J, Caers J, Mariethoz G. Conditioning Facies Simulations with Connectivity Data Mathematical Geosciences. 43: 879-903. DOI: 10.1007/S11004-011-9363-4 |
0.76 |
|
| 2011 |
Scheidt C, Caers J, Chen Y, Durlofsky LJ. A multi-resolution workflow to generate high-resolution models constrained to dynamic data Computational Geosciences. 15: 545-563. DOI: 10.1007/S10596-011-9223-9 |
0.487 |
|
| 2010 |
Daly C, Caers J. Multi-point geostatistics – an introductory overview First Break. 28: 39-47. DOI: 10.3997/1365-2397.2010020 |
0.485 |
|
| 2010 |
Mariethoz G, Renard P, Caers J. Bayesian inverse problem and optimization with iterative spatial resampling Water Resources Research. 46. DOI: 10.1029/2010Wr009274 |
0.76 |
|
| 2010 |
Michael HA, Li H, Boucher A, Sun T, Caers J, Gorelick SM. Combining geologic-process models and geostatistics for conditional simulation of 3-D subsurface heterogeneity Water Resources Research. 46. DOI: 10.1029/2009Wr008414 |
0.747 |
|
| 2010 |
Fu J, Tchelepi HA, Caers J. A multiscale adjoint method to compute sensitivity coefficients for flow in heterogeneous porous media Advances in Water Resources. 33: 698-709. DOI: 10.1016/J.Advwatres.2010.04.005 |
0.402 |
|
| 2010 |
Alpak FO, Barton MD, Caers J. A flow-based pattern recognition algorithm for rapid quantification of geologic uncertainty Computational Geosciences. 14: 603-621. DOI: 10.1007/S10596-009-9175-5 |
0.518 |
|
| 2010 |
Scheidt C, Caers J. Bootstrap confidence intervals for reservoir model selection techniques Computational Geosciences. 14: 369-382. DOI: 10.1007/S10596-009-9156-8 |
0.381 |
|
| 2010 |
Park K, Scheidt C, Caers J. Mathematical reformulation of highly nonlinear large-scale inverse problem in metric space Ecmor 2010 - 12th European Conference On the Mathematics of Oil Recovery. |
0.313 |
|
| 2010 |
Mariethoz G, Renard P, Straubhaar J, Caers J. MP simulations without computing MP statistics Ecmor 2010 - 12th European Conference On the Mathematics of Oil Recovery. |
0.389 |
|
| 2010 |
Scheidt C, Caers J, Chen Y, Durlofsky L. Rapid construction of ensembles of highresolution reservoir models constrained to production data Ecmor 2010 - 12th European Conference On the Mathematics of Oil Recovery. |
0.431 |
|
| 2009 |
Scheidt C, Caers J. Uncertainty quantification in reservoir performance using distances and kernel methods-application to a west Africa deepwater turbidite reservoir Spe Journal. 14: 680-692. DOI: 10.2118/118740-Pa |
0.518 |
|
| 2009 |
Castro SA, Caers J, Ottbilb C, Meisingset H, Hoye T, Gomel P, Zachariassen EU. Incorporating 4D seismic data into reservoir models while honoring production and geologic data: A case study The Leading Edge. 28: 1498-1506. DOI: 10.1190/1.3272706 |
0.775 |
|
| 2009 |
Honarkhah M, Caers J. Stochastic simulation of patterns using distance-based pattern modeling Iamg 2009 - Computational Methods For the Earth, Energy and Environmental Sciences. DOI: 10.1007/S11004-010-9276-7 |
0.438 |
|
| 2009 |
Scheidt C, Caers J. Representing spatial uncertainty using distances and kernels Mathematical Geosciences. 41: 397-419. DOI: 10.1007/S11004-008-9186-0 |
0.462 |
|
| 2009 |
Caers J, Park K, Scheidt C. Modeling uncertainty in metric space Iamg 2009 - Computational Methods For the Earth, Energy and Environmental Sciences. |
0.389 |
|
| 2008 |
Ronayne MJ, Gorelick SM, Caers J. Identifying discrete geologic structures that produce anomalous hydraulic response: An inverse modeling approach Water Resources Research. 44. DOI: 10.1029/2007Wr006635 |
0.474 |
|
| 2008 |
Suzuki S, Caers J. A distance-based prior model parameterization for constraining solutions of spatial inverse problems Mathematical Geosciences. 40: 445-469. DOI: 10.1007/S11004-008-9154-8 |
0.654 |
|
| 2008 |
Suzuki S, Caumon G, Caers J. Dynamic data integration for structural modeling: Model screening approach using a distance-based model parameterization Computational Geosciences. 12: 105-119. DOI: 10.1007/S10596-007-9063-9 |
0.772 |
|
| 2008 |
Caers J, Park K. A distance-based representation of reservoir uncertainty: The metric EnKF Ecmor 2008 - 11th European Conference On the Mathematics of Oil Recovery. |
0.428 |
|
| 2008 |
Scheidt C, Caers JK. Joint quantification of uncertainty on spatial and non-spatial reservoir parameters Ecmor 2008 - 11th European Conference On the Mathematics of Oil Recovery. |
0.346 |
|
| 2008 |
Castro SA, Caers J, Meisingset H, Høye T, Gomel P, Zachariassen E. Comparison of probabilistic and forward modeling workflow approaches for integrating 4D seismic into reservoir models (best of AAPG) 70th European Association of Geoscientists and Engineers Conference and Exhibition 2008: Leveraging Technology. Incorporating Spe Europec 2008. 4: 2493-2498. |
0.76 |
|
| 2007 |
Hoffman BT, Caers J. 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: 257-272. DOI: 10.1016/J.Petrol.2006.10.011 |
0.669 |
|
| 2007 |
Li T, Caers J. Solving spatial inverse problems using the probability perturbation method: An S-GEMS Implementation Geomathematics and Gis Analysis of Resources, Environment and Hazards - Annual Conference of the International Association For Mathematical Geology, Iamg 2007. 727-729. DOI: 10.1016/J.Cageo.2007.08.006 |
0.331 |
|
| 2007 |
Arpat GB, Caers J. Conditional simulation with patterns Mathematical Geology. 39: 177-203. DOI: 10.1007/S11004-006-9075-3 |
0.759 |
|
| 2007 |
Caers J. Comparing the gradual deformation with the probability perturbation method for solving inverse problems Mathematical Geology. 39: 27-52. DOI: 10.1007/S11004-006-9064-6 |
0.437 |
|
| 2007 |
Johansen K, Caers J, Suzuki S. Hybridization of the probability perturbation method with gradient information Petroleum Geostatistics 2007. DOI: 10.1007/S10596-007-9055-9 |
0.557 |
|
| 2007 |
Caetano H, Caers J. Geostatistical inversion constrained to MultiPoint statistical information derived from training images Petroleum Geostatistics 2007. |
0.433 |
|
| 2007 |
Caers J, Srinivasan S. A fast markov chain Monte Carlo method for conditioning reservoir models to dynamic data Geo-Siberia 2007. |
0.396 |
|
| 2007 |
Li H, Caers J. Hierarchic modeling and history matching of multiscale flow barriers in channelized reservoirs Proceedings - Spe Annual Technical Conference and Exhibition. 1: 394-404. |
0.363 |
|
| 2007 |
Li H, Caers J. Hierarchical modeling of multi-scale flow barriers in channelized reservoirs Geomathematics and Gis Analysis of Resources, Environment and Hazards - Annual Conference of the International Association For Mathematical Geology, Iamg 2007. 381-385. |
0.32 |
|
| 2006 |
Caers J, Hoffman T, Strebelle S, Wen XH. Probabilistic integration of geologic scenarios, seismic, and production data - A West Africa turbidite reservoir case study Leading Edge (Tulsa, Ok). 25: 240-244. DOI: 10.1190/1.2184087 |
0.807 |
|
| 2006 |
Feyen L, Caers J. Quantifying geological uncertainty for flow and transport modeling in multi-modal heterogeneous formations Advances in Water Resources. 29: 912-929. DOI: 10.1016/J.Advwatres.2005.08.002 |
0.498 |
|
| 2006 |
Caers J, Hoffman T. The probability perturbation method: A new look at Bayesian inverse modeling Mathematical Geology. 38: 81-100. DOI: 10.1007/S11004-005-9005-9 |
0.506 |
|
| 2006 |
Castro S, Caers J. A probabilistic approach to integration of well log, geological information, 3D/4D seismic and production data Ecmor 2006 - 10th European Conference On the Mathematics of Oil Recovery. |
0.429 |
|
| 2006 |
Suzuki S, Caers J. History matching with an uncertain geological scenario Proceedings - Spe Annual Technical Conference and Exhibition. 2: 1118-1134. |
0.456 |
|
| 2006 |
Trainor WJ, Caers JK. Aquifer modeling using geostatistics to include regional, qualitative heterogeneity information Near Surface 2006 - 12th European Meeting of Environmental and Engineering Geophysics. |
0.357 |
|
| 2006 |
Dovera L, Caers J, Borgomano J. MPG simulation of facies thicknesses interpreted through sequence stratigraphy - Application on a carbonate outcrop Ecmor 2006 - 10th European Conference On the Mathematics of Oil Recovery. |
0.429 |
|
| 2006 |
Hoffman BT, Caers JK, Wen XH, Strebelle S. A practical data-integration approach to history matching: Application to a deepwater reservoir Spe Journal. 11: 464-479. |
0.625 |
|
| 2006 |
Castro S, Caers J, Otterlei C, Høye T, Andersen T, Gomel P. A probabilistic integration of well log, geological information, 3D/4D seismic and production data: Application to the oseberg field Proceedings - Spe Annual Technical Conference and Exhibition. 6: 4213-4221. |
0.431 |
|
| 2005 |
Castro SA, Caers J. Flow‐based downscaling of coarse grid saturations for modeling 4D seismic response Seg Technical Program Expanded Abstracts. DOI: 10.1190/1.2148231 |
0.719 |
|
| 2005 |
Hoffman BT, Caers J. Regional probability perturbations for history matching Journal of Petroleum Science and Engineering. 46: 53-71. DOI: 10.1016/J.Petrol.2004.11.001 |
0.671 |
|
| 2005 |
Tureyen OI, Caers J. A parallel, multiscale approach to reservoir modeling Computational Geosciences. 9: 75-98. DOI: 10.1007/S10596-005-9004-4 |
0.815 |
|
| 2005 |
Caers J, Zhang T. Multiple-point geostatistics: A quantitative vehicle for integrating geologic analogs into multiple reservoir models Aapg Memoir. 383-394. |
0.31 |
|
| 2005 |
Li H, Arpat BG, Caers J. A new multiple-grid method for multiple-scale stochastic simulation with patterns Gis and Spatial Analysis - 2005 Annual Conference of the International Association For Mathematical Geology, Iamg 2005. 633-638. |
0.327 |
|
| 2005 |
Hoffman BT, Wen XH, Strebelle S, Caers J. Geologically consistent history matching of a deepwater turbidite reservoir Proceedings - Spe Annual Technical Conference and Exhibition. 875-886. |
0.619 |
|
| 2005 |
Fenwick D, Thiele M, Agil M, Hussain A, Humam F, Caers J. Reconciling prior geologic information with production data using streamlines: Application to a giant middle-eastern oil field Proceedings - Spe Annual Technical Conference and Exhibition. 1993-2005. |
0.421 |
|
| 2004 |
Xu Y, Caers J, Arroyo-Garcia C. Automatic geobody detection from seismic data using minimum message length clustering Computers and Geosciences. 30: 741-751. DOI: 10.1016/J.Cageo.2004.05.010 |
0.346 |
|
| 2004 |
Caumon G, Strebelle S, Caers JK, Journel AG. Assessment of global uncertainty for early appraisal of hydrocarbon fields Proceedings - Spe Annual Technical Conference and Exhibition. 685-692. |
0.414 |
|
| 2004 |
Gross H, Thielet MR, Alexa MJ, Caers JK, Kovscek AR. Streamline-based history matching using geostatistical constraints: Application to a giant, mature carbonate reservoir Proceedings - Spe Annual Technical Conference and Exhibition. 1235-1249. |
0.375 |
|
| 2003 |
Strebelle S, Payrazyan K, Caers J. Modeling of a deepwater turbidite reservoir conditional to seismic data using principal component analysis and multiple-point geostatistics Spe Journal. 8: 227-235. DOI: 10.2118/85962-Pa |
0.826 |
|
| 2003 |
Caers J. History matching under training-image-based geological model constraints Spe Journal. 8: 218-226. DOI: 10.2118/74716-Pa |
0.537 |
|
| 2003 |
Caers J, Strebelle S, Payrazyan K. Stochastic integration of seismic data and geologic scenarios: A West Africa submarine channel saga Leading Edge (Tulsa, Ok). 22: 192-196. DOI: 10.1190/1.1564521 |
0.799 |
|
| 2003 |
Caers J. Efficient gradual deformation using a streamline-based proxy method Journal of Petroleum Science and Engineering. 39: 57-83. DOI: 10.1016/S0920-4105(03)00040-8 |
0.513 |
|
| 2003 |
Caers J, Srinivasan S. Chapter 23 Combining geological information with seismic and production data Developments in Petroleum Science. 51: 499-525. DOI: 10.1016/S0376-7361(03)80027-4 |
0.657 |
|
| 2003 |
Caers J. Chapter 6 Geostatistics: From pattern recognition to pattern reproduction Developments in Petroleum Science. 51: 97-115. DOI: 10.1016/S0376-7361(03)80010-9 |
0.461 |
|
| 2003 |
Moysey S, Caers J, Knight R, Allen-King RM. Stochastic estimation of facies using ground penetrating radar data Stochastic Environmental Research and Risk Assessment. 17: 306-318. DOI: 10.1007/S00477-003-0152-6 |
0.439 |
|
| 2003 |
Huffman BT, Caers J. Geostatistical History Matching Using a Regional Probability Perturbation Method Proceedings - Spe Annual Technical Conference and Exhibition. 3083-3096. |
0.448 |
|
| 2003 |
Tureyen OI, Caers J. A Two-Level Optimization Method for Geostatistical Integration of Production Data on Non-Uniform Grids Proceedings - Spe Annual Technical Conference and Exhibition. 2691-2705. |
0.814 |
|
| 2003 |
Voelker J, Liu J, Caers J. A Geostatistical Method for Characterizing Superpermeability from Flow-Meter Data: Application to Ghawar Field Proceedings - Spe Annual Technical Conference and Exhibition. 1957-1972. |
0.68 |
|
| 2002 |
Caers J, Krishnan S, Wang Y, Kovscek AR. A geostatistical approach to streamline-based history matching Spe Journal. 7: 250-266. DOI: 10.2118/73144-Pa |
0.711 |
|
| 2002 |
Caers J, Ma X. Modeling conditional distributions of facies from seismic using neural nets Mathematical Geology. 34: 143-167. DOI: 10.1023/A:1014460101588 |
0.496 |
|
| 2002 |
Remy N, Shtuka A, Levy B, Caers J. GsTL: The geostatistical template library in C + + Computers and Geosciences. 28: 971-979. DOI: 10.1016/S0098-3004(02)00021-3 |
0.728 |
|
| 2002 |
Caers J. Geostatistical History Matching under Training-Image Based Geological Model Constraints Proceedings - Spe Annual Technical Conference and Exhibition. 869-884. |
0.429 |
|
| 2002 |
Strebelle S, Payrazyan K, Caers J. Modeling of a Deepwater Turbidite Reservoir Conditional to Seismic Data Using Multiple-Point Geostatistics Proceedings - Spe Annual Technical Conference and Exhibition. 825-834. |
0.42 |
|
| 2002 |
Caers J, Avseth P, Mukerji T. Integrating rock physics, seismic amplitudes, and geological models Jpt, Journal of Petroleum Technology. 54: 43. |
0.358 |
|
| 2001 |
Caers J, Avseth P, Mukerji T. Geostatistical integration of rock physics, seismic amplitudes, and geologic models in North Sea turbidite systems Geophysics. 20: 308-312. DOI: 10.1190/1.1438936 |
0.417 |
|
| 2001 |
Caers J. Automatic histogram and variogram reproduction in Simulated Annealing Simulation Mathematical Geology. 33: 167-190. DOI: 10.1023/A:1007583217899 |
0.406 |
|
| 2001 |
Caers J. Geostatistical reservoir modelling using statistical pattern recognition Journal of Petroleum Science and Engineering. 29: 177-188. DOI: 10.1016/S0920-4105(01)00088-2 |
0.51 |
|
| 2001 |
Caers J, Avseth P, Mukerji T. Geostatistical integration of rock physics, seismic amplitudes and geological models in North-Sea turbidite systems Proceedings - Spe Annual Technical Conference and Exhibition. 59-74. |
0.341 |
|
| 2001 |
Caers J, Avseth P, Mukerji T. Geostatistical integration of rock physics, seismic amplitudes, and geologic models in North Sea turbidite systems Leading Edge (Tulsa, Ok). 20: 308-312. |
0.359 |
|
| 2000 |
Caers J. Adding local accuracy to direct sequential simulation Mathematical Geology. 32: 815-850. DOI: 10.1023/A:1007596423578 |
0.369 |
|
| 2000 |
Caers JK, Srinivasan S, Journel AG. Geostatistical quantification of geological information for a fluvial-type north sea reservoir Spe Reservoir Evaluation and Engineering. 3: 457-467. |
0.459 |
|
| 1999 |
Caers J, Beirlant J, Maes MA. Statistics for modeling heavy tailed distributions in geology: Part II. Applications Mathematical Geology. 31: 411-434. DOI: 10.1023/A:1007590608342 |
0.377 |
|
| 1999 |
Caers J, Beirlant J, Maes MA. Statistics for modeling heavy tailed distributions in geology: Part I. Methodology Mathematical Geology. 31: 391-410. DOI: 10.1023/A:1007538624271 |
0.393 |
|
| 1998 |
Caers J, Journel AG. Stochastic Reservoir Simulation Using Neural Networks Trained on Outcrop Data Software - Practice and Experience. 321-336. DOI: 10.2118/49026-Ms |
0.718 |
|
| 1998 |
Caers J, Dyck JV. Nonparametric tail estimation using a double bootstrap method Computational Statistics and Data Analysis. 29: 191-211. DOI: 10.1016/S0167-9473(98)00060-7 |
0.318 |
|
| 1998 |
Caers J, Beirlant J, Vynckier P. Bootstrap confidence intervals for tail indices Computational Statistics and Data Analysis. 26: 259-277. DOI: 10.1016/S0167-9473(97)00033-9 |
0.303 |
|
| 1998 |
Caers J, Maes MA. Identifying tails, bounds and end-points of random variables Structural Safety. 20: 1-23. DOI: 10.1016/S0167-4730(97)00036-2 |
0.359 |
|
| 1996 |
Caers J, Rombouts L. Valuation of primary diamond deposits by extreme value statistics Economic Geology. 91: 841-854. DOI: 10.2113/Gsecongeo.91.5.841 |
0.345 |
|
| 1996 |
Caers J, Vynckier P, Beirlant J, Rombouts L. Extreme value analysis of diamond-size distributions Mathematical Geology. 28: 25-43. DOI: 10.1007/Bf02273522 |
0.307 |
|
| 1996 |
Caers J. A general family of counting distributions suitable for modeling cluster phenomena Mathematical Geology. 28: 601-624. DOI: 10.1007/Bf02066103 |
0.338 |
|
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