Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2611-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2611-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Jun 2020
Model description paper |
| 08 Jun 2020
| 08 Jun 2020
QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach
University of Lausanne, Faculty of Geosciences and Environment,
Institute of Earth Surface Dynamics, Lausanne, Switzerland
Grégoire Mariethoz
University of Lausanne, Faculty of Geosciences and Environment,
Institute of Earth Surface Dynamics, Lausanne, Switzerland
Viewed
Total article views: 4,339 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Nov 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,118 | 1,122 | 99 | 4,339 | 89 | 72 |
- HTML: 3,118
- PDF: 1,122
- XML: 99
- Total: 4,339
- BibTeX: 89
- EndNote: 72
Total article views: 3,540 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,735 | 729 | 76 | 3,540 | 70 | 55 |
- HTML: 2,735
- PDF: 729
- XML: 76
- Total: 3,540
- BibTeX: 70
- EndNote: 55
Total article views: 799 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Nov 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 383 | 393 | 23 | 799 | 19 | 17 |
- HTML: 383
- PDF: 393
- XML: 23
- Total: 799
- BibTeX: 19
- EndNote: 17
Viewed (geographical distribution)
Total article views: 4,339 (including HTML, PDF, and XML)
Thereof 3,868 with geography defined
and 471 with unknown origin.
Total article views: 3,540 (including HTML, PDF, and XML)
Thereof 3,177 with geography defined
and 363 with unknown origin.
Total article views: 799 (including HTML, PDF, and XML)
Thereof 691 with geography defined
and 108 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
51 citations as recorded by crossref.
- Markov chain Monte Carlo for seismic facies classification D. Grana et al. 10.1190/geo2022-0442.1
- Training Image Optimization Method Based on Convolutional Neural Network and Its Application in Discrete Fracture Network Model Selection S. Yu et al. 10.2113/2021/4963324
- A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications F. Zakeri & G. Mariethoz 10.1016/j.rse.2021.112381
- Reconstruction of High-Resolution 3D GPR Data from 2D Profiles: A Multiple-Point Statistical Approach C. Zhang et al. 10.3390/rs16122084
- Multiple-point geostatistics-based spatial downscaling of heavy rainfall fields W. Zou et al. 10.1016/j.jhydrol.2024.130899
- Direct Sequential Simulation for spherical linear inverse problems M. Otzen et al. 10.1016/j.cageo.2021.105026
- Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling R. Madsen et al. 10.1016/j.enggeo.2022.106833
- Multiple-point statistics and non-colocational soft data integration Ó. Jóhannsson & T. Hansen 10.1016/j.cageo.2022.105280
- A Pattern Classification Distribution Method for Geostatistical Modeling Evaluation and Uncertainty Quantification C. Zuo et al. 10.3390/rs15112708
- Integrating Multi-Point Geostatistics, Machine Learning, and Image Correlation for Characterizing Positional Errors in Remote-Sensing Images of High Spatial Resolution L. Xin et al. 10.3390/rs15194734
- A parsimonious parametrization of the Direct Sampling algorithm for multiple-point statistical simulations P. Juda et al. 10.1016/j.acags.2022.100091
- Adaptive direct sampling-based approach to ore grade modeling Z. Li et al. 10.1007/s12145-024-01297-4
- Estimating line contaminant sources in non-Gaussian groundwater conductivity fields using deep learning-based framework N. Zheng et al. 10.1016/j.jhydrol.2024.130727
- A fast two part direct sampling method based on interpolation H. Bai et al. 10.1016/j.cageo.2023.105335
- Stochastic reconstruction of heterogeneous microstructure combining sliced Wasserstein distance and gradient optimization Z. Ma et al. 10.1016/j.actamat.2024.120023
- Reconstruction of Missing GPR Data Using Multiple-Point Statistical Simulation C. Zhang et al. 10.1109/TGRS.2024.3353482
- Pore-scale simulations help in overcoming laboratory limitations with unconsolidated rock material: A multi-step reconstruction based on scanning electron and optical microscopy data D. Kulygin et al. 10.1016/j.advwatres.2024.104754
- 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures R. Madsen et al. 10.5194/hess-25-2759-2021
- Direct Sampling for Spatially Variable Extreme Event Generation in Resampling‐Based Stochastic Weather Generators J. Guevara et al. 10.1029/2022MS003542
- Adaptive phase-retrieval stochastic reconstruction with correlation functions: Three-dimensional images from two-dimensional cuts A. Cherkasov et al. 10.1103/PhysRevE.104.035304
- Functional multiple-point simulation O. Ojo & M. Genton 10.1016/j.cageo.2024.105767
- Towards effective information content assessment: Analytical derivation of information loss in the reconstruction of random fields with model uncertainty A. Cherkasov et al. 10.1016/j.physa.2023.129400
- Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points R. Madsen et al. 10.1007/s00477-020-01954-2
- Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods R. Feng et al. 10.1007/s11004-023-10129-y
- Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al. 10.3390/rs15020409
- A nearest neighbor multiple-point statistics method for fast geological modeling C. Zuo et al. 10.1016/j.cageo.2022.105208
- Going submicron in the precise analysis of soil structure: A FIB-SEM imaging study at nanoscale K. Gerke et al. 10.1016/j.geoderma.2020.114739
- Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image R. Feng et al. 10.1007/s11004-023-10119-0
- AutoQS v1: automatic parametrization of QuickSampling based on training images analysis M. Gravey & G. Mariethoz 10.5194/gmd-16-5265-2023
- Conditioning of multiple-point statistics simulations to indirect geophysical data S. Levy et al. 10.1016/j.cageo.2024.105581
- Knowledge-based multiple point statistics for soil stratigraphy simulation X. Zhou et al. 10.1016/j.tust.2023.105475
- SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism Z. Cui et al. 10.1029/2023WR035932
- Stochastic (re)constructions of non-stationary material structures: Using ensemble averaged correlation functions and non-uniform phase distributions M. Karsanina & K. Gerke 10.1016/j.physa.2022.128417
- Quantifying temporal variability and spatial heterogeneity in rainfall recharge thresholds in a montane karst environment A. Baker et al. 10.1016/j.jhydrol.2021.125965
- Compressing soil structural information into parameterized correlation functions M. Karsanina et al. 10.1111/ejss.13025
- Generating unrepresented proportions of geological facies using Generative Adversarial Networks A. Abdellatif et al. 10.1016/j.cageo.2022.105085
- A variability aware GAN for improving spatial representativeness of discrete geobodies R. Koochak et al. 10.1016/j.cageo.2022.105188
- Hydrogeological multiple-point statistics inversion by adaptive sequential Monte Carlo M. Amaya et al. 10.1016/j.advwatres.2022.104252
- pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation Q. Chen et al. 10.1007/s12145-023-01086-5
- Super-resolution of digital elevation models by using multiple-point statistics and training image selection G. Hu et al. 10.1016/j.cageo.2024.105688
- Hierarchical 3D reconstruction algorithm of core image based on detailed and structural dictionaries Z. Ma et al. 10.1016/j.jgsce.2023.205029
- Sulphur variations in annually layered stalagmites using benchtop micro-XRF H. Wang et al. 10.1016/j.sab.2022.106366
- Pixel-MPS: Stochastic Embedding and Density-Based Clustering of Image Patterns for Pixel-Based Multiple-Point Geostatistical Simulation A. Asadi & S. Chatterjee 10.3390/geosciences14060162
- Pattern-Based Multiple-point Geostatistics for 3D Automatic Geological Modeling of Borehole Data J. Guo et al. 10.1007/s11053-024-10405-6
- A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning Z. Ma et al. 10.1016/j.compgeo.2023.105755
- A fast edge-based two-stage direct sampling method H. Bai & G. Mariethoz 10.1016/j.cageo.2021.104742
- Stochastic Reconstruction of 3D Heterogeneous Microstructure Using a Column-Oriented Multiple-Point Statistics Program C. Zuo et al. 10.2113/2024/lithosphere_2023_233
- Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1) Z. Yin et al. 10.5194/gmd-15-1477-2022
- Stationary Stokes solver for single-phase flow in porous media: A blastingly fast solution based on Algebraic Multigrid Method using GPU N. Evstigneev et al. 10.1016/j.advwatres.2022.104340
- Identification of aquifer heterogeneity through inverse methods P. Ackerer et al. 10.5802/crgeos.162
- Nonstationary stochastic rain type generation: accounting for climate drivers L. Benoit et al. 10.5194/hess-24-2841-2020
50 citations as recorded by crossref.
- Markov chain Monte Carlo for seismic facies classification D. Grana et al. 10.1190/geo2022-0442.1
- Training Image Optimization Method Based on Convolutional Neural Network and Its Application in Discrete Fracture Network Model Selection S. Yu et al. 10.2113/2021/4963324
- A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications F. Zakeri & G. Mariethoz 10.1016/j.rse.2021.112381
- Reconstruction of High-Resolution 3D GPR Data from 2D Profiles: A Multiple-Point Statistical Approach C. Zhang et al. 10.3390/rs16122084
- Multiple-point geostatistics-based spatial downscaling of heavy rainfall fields W. Zou et al. 10.1016/j.jhydrol.2024.130899
- Direct Sequential Simulation for spherical linear inverse problems M. Otzen et al. 10.1016/j.cageo.2021.105026
- Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling R. Madsen et al. 10.1016/j.enggeo.2022.106833
- Multiple-point statistics and non-colocational soft data integration Ó. Jóhannsson & T. Hansen 10.1016/j.cageo.2022.105280
- A Pattern Classification Distribution Method for Geostatistical Modeling Evaluation and Uncertainty Quantification C. Zuo et al. 10.3390/rs15112708
- Integrating Multi-Point Geostatistics, Machine Learning, and Image Correlation for Characterizing Positional Errors in Remote-Sensing Images of High Spatial Resolution L. Xin et al. 10.3390/rs15194734
- A parsimonious parametrization of the Direct Sampling algorithm for multiple-point statistical simulations P. Juda et al. 10.1016/j.acags.2022.100091
- Adaptive direct sampling-based approach to ore grade modeling Z. Li et al. 10.1007/s12145-024-01297-4
- Estimating line contaminant sources in non-Gaussian groundwater conductivity fields using deep learning-based framework N. Zheng et al. 10.1016/j.jhydrol.2024.130727
- A fast two part direct sampling method based on interpolation H. Bai et al. 10.1016/j.cageo.2023.105335
- Stochastic reconstruction of heterogeneous microstructure combining sliced Wasserstein distance and gradient optimization Z. Ma et al. 10.1016/j.actamat.2024.120023
- Reconstruction of Missing GPR Data Using Multiple-Point Statistical Simulation C. Zhang et al. 10.1109/TGRS.2024.3353482
- Pore-scale simulations help in overcoming laboratory limitations with unconsolidated rock material: A multi-step reconstruction based on scanning electron and optical microscopy data D. Kulygin et al. 10.1016/j.advwatres.2024.104754
- 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures R. Madsen et al. 10.5194/hess-25-2759-2021
- Direct Sampling for Spatially Variable Extreme Event Generation in Resampling‐Based Stochastic Weather Generators J. Guevara et al. 10.1029/2022MS003542
- Adaptive phase-retrieval stochastic reconstruction with correlation functions: Three-dimensional images from two-dimensional cuts A. Cherkasov et al. 10.1103/PhysRevE.104.035304
- Functional multiple-point simulation O. Ojo & M. Genton 10.1016/j.cageo.2024.105767
- Towards effective information content assessment: Analytical derivation of information loss in the reconstruction of random fields with model uncertainty A. Cherkasov et al. 10.1016/j.physa.2023.129400
- Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points R. Madsen et al. 10.1007/s00477-020-01954-2
- Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods R. Feng et al. 10.1007/s11004-023-10129-y
- Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al. 10.3390/rs15020409
- A nearest neighbor multiple-point statistics method for fast geological modeling C. Zuo et al. 10.1016/j.cageo.2022.105208
- Going submicron in the precise analysis of soil structure: A FIB-SEM imaging study at nanoscale K. Gerke et al. 10.1016/j.geoderma.2020.114739
- Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image R. Feng et al. 10.1007/s11004-023-10119-0
- AutoQS v1: automatic parametrization of QuickSampling based on training images analysis M. Gravey & G. Mariethoz 10.5194/gmd-16-5265-2023
- Conditioning of multiple-point statistics simulations to indirect geophysical data S. Levy et al. 10.1016/j.cageo.2024.105581
- Knowledge-based multiple point statistics for soil stratigraphy simulation X. Zhou et al. 10.1016/j.tust.2023.105475
- SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism Z. Cui et al. 10.1029/2023WR035932
- Stochastic (re)constructions of non-stationary material structures: Using ensemble averaged correlation functions and non-uniform phase distributions M. Karsanina & K. Gerke 10.1016/j.physa.2022.128417
- Quantifying temporal variability and spatial heterogeneity in rainfall recharge thresholds in a montane karst environment A. Baker et al. 10.1016/j.jhydrol.2021.125965
- Compressing soil structural information into parameterized correlation functions M. Karsanina et al. 10.1111/ejss.13025
- Generating unrepresented proportions of geological facies using Generative Adversarial Networks A. Abdellatif et al. 10.1016/j.cageo.2022.105085
- A variability aware GAN for improving spatial representativeness of discrete geobodies R. Koochak et al. 10.1016/j.cageo.2022.105188
- Hydrogeological multiple-point statistics inversion by adaptive sequential Monte Carlo M. Amaya et al. 10.1016/j.advwatres.2022.104252
- pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation Q. Chen et al. 10.1007/s12145-023-01086-5
- Super-resolution of digital elevation models by using multiple-point statistics and training image selection G. Hu et al. 10.1016/j.cageo.2024.105688
- Hierarchical 3D reconstruction algorithm of core image based on detailed and structural dictionaries Z. Ma et al. 10.1016/j.jgsce.2023.205029
- Sulphur variations in annually layered stalagmites using benchtop micro-XRF H. Wang et al. 10.1016/j.sab.2022.106366
- Pixel-MPS: Stochastic Embedding and Density-Based Clustering of Image Patterns for Pixel-Based Multiple-Point Geostatistical Simulation A. Asadi & S. Chatterjee 10.3390/geosciences14060162
- Pattern-Based Multiple-point Geostatistics for 3D Automatic Geological Modeling of Borehole Data J. Guo et al. 10.1007/s11053-024-10405-6
- A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning Z. Ma et al. 10.1016/j.compgeo.2023.105755
- A fast edge-based two-stage direct sampling method H. Bai & G. Mariethoz 10.1016/j.cageo.2021.104742
- Stochastic Reconstruction of 3D Heterogeneous Microstructure Using a Column-Oriented Multiple-Point Statistics Program C. Zuo et al. 10.2113/2024/lithosphere_2023_233
- Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1) Z. Yin et al. 10.5194/gmd-15-1477-2022
- Stationary Stokes solver for single-phase flow in porous media: A blastingly fast solution based on Algebraic Multigrid Method using GPU N. Evstigneev et al. 10.1016/j.advwatres.2022.104340
- Identification of aquifer heterogeneity through inverse methods P. Ackerer et al. 10.5802/crgeos.162
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
Stochastic simulations are key tools to generate complex spatial structures uses as input in geoscientific models. In this paper, we present a new open-source tool that enables to simulate complex structures in a straightforward and efficient manner, based on analogues. The method is tested on a variety of use cases to demonstrate the generality of the framework.
Stochastic simulations are key tools to generate complex spatial structures uses as input in...
