Articles | Volume 7, issue 4
https://doi.org/10.5194/se-7-1185-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-7-1185-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Aug 2016
Research article |
| 04 Aug 2016
Digital carbonate rock physics
Erik H. Saenger
CORRESPONDING AUTHOR
International Geothermal Centre, 44801 Bochum, Germany
Institute for Geology, Mineralogy and Geophysics, Ruhr-Universität Bochum, 44801 Bochum, Germany
Stephanie Vialle
Department of Exploration Geophysics, Curtin University, Perth, Australia
Maxim Lebedev
Department of Exploration Geophysics, Curtin University, Perth, Australia
David Uribe
Institute for Mechanics, University of Stuttgart, 70569 Stuttgart, Germany
Stuttgart Research Centre for Simulation Technology (SRC SimTech),
70569 Stuttgart, Germany
Maria Osorno
Institute for Mechanics, University of Stuttgart, 70569 Stuttgart, Germany
Mandy Duda
International Geothermal Centre, 44801 Bochum, Germany
Holger Steeb
Institute for Mechanics, University of Stuttgart, 70569 Stuttgart, Germany
Stuttgart Research Centre for Simulation Technology (SRC SimTech),
70569 Stuttgart, Germany
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Cited
31 citations as recorded by crossref.
- EPCI: A new tool for predicting absolute permeability from computed tomography images H. Sun et al. 10.1190/geo2018-0653.1
- Microstructures and physical properties in carbonate rocks: A comprehensive review J. Regnet et al. 10.1016/j.marpetgeo.2019.02.022
- Application of alternative digital rock physics methods in a real case study: a challenge between clean and cemented samples S. Karimpouli et al. 10.1111/1365-2478.12611
- Rock properties evaluation for carbonate reservoir characterization with multi-scale digital rock images H. Sun et al. 10.1016/j.petrol.2018.12.075
- Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs R. Kalule et al. 10.1038/s41598-023-36096-2
- Simulating squirt flow in realistic rock models using graphical processing units (GPUs) Y. Alkhimenkov 10.1093/gji/ggae152
- Predictive Soft Computing Methods for Building Digital Rock Models Verified by Positron Emission Tomography Experiments M. Ebadi et al. 10.1029/2021WR031814
- Detecting micro fractures: a comprehensive comparison of conventional and machine-learning-based segmentation methods D. Lee et al. 10.5194/se-13-1475-2022
- Characterizing PEM fuel cell catalyst layer properties from high resolution three-dimensional digital images, part I: A numerical procedure for the ionomer distribution reconstruction M. Ahmed-Maloum et al. 10.1016/j.ijhydene.2024.07.097
- High-resolution GPU-based simulations of quasi-static poroelasticity: seismic attenuation and modulus dispersion in three-dimensional stochastic fracture networks Y. Alkhimenkov 10.1093/gji/ggae439
- Effect of 2D Image Resolution on 3D Stochastic Reconstruction and Developing Petrophysical Trend H. Izadi et al. 10.1007/s11242-018-0997-2
- VP and VS prediction from digital rock images using a combination of U-Net and convolutional neural networks R. Cui et al. 10.1190/geo2020-0162.1
- Testing and evaluation of 2D/3D digital image analysis methods and inclusion theory for microporosity and S-wave prediction in carbonates I. Lima Neto et al. 10.1016/j.marpetgeo.2018.08.004
- Extracting crucial microstructures to characterize the elastic wave velocity and resistivity of Berea sandstone using convolutional neural networks K. Sawayama et al. 10.1190/geo2023-0163.1
- Phenomenological understanding of poroelasticity via the micromechanics of a simple digital-rock model G. Couples 10.1190/geo2018-0577.1
- Acoustical-electrical models of tight rocks based on digital rock physics and double-porosity theory M. Pang et al. 10.1016/j.geoen.2024.212634
- Characterization of reactive flow-induced evolution of carbonate rocks using digital core analysis - part 2: Calculation of the evolution of percolation and transport properties J. Qajar & C. Arns 10.1016/j.jconhyd.2017.08.002
- Predicting macroscopic elastic rock properties requires detailed information on microstructure M. Wetzel et al. 10.1016/j.egypro.2017.08.195
- Computing heterogeneous core sample velocity using Digital Rock Physics: A multiscale approach S. Karimpouli et al. 10.1016/j.cageo.2019.104378
- Consistent prediction of absolute permeability in carbonates without upscaling M. Khodja et al. 10.2516/ogst/2020029
- Diagenetic Trends of Synthetic Reservoir Sandstone Properties Assessed by Digital Rock Physics M. Wetzel et al. 10.3390/min11020151
- Petro-elastic model of the multiple pore-crack structure of carbonate rocks based on digital cores M. Pang et al. 10.1007/s11600-024-01416-1
- Low-Frequency Elastic Properties of a Polymineralic Carbonate: Laboratory Measurement and Digital Rock Physics K. Ikeda et al. 10.3389/feart.2021.628544
- Numerical prediction of carbonate elastic properties based on multi-scale imaging T. Farhana Faisal et al. 10.1016/j.gete.2019.100125
- Quantifying Rock Weakening Due to Decreasing Calcite Mineral Content by Numerical Simulations M. Wetzel et al. 10.3390/ma11040542
- Digital Rock Physics: A Geological Driven Workflow for the Segmentation of Anisotropic Ruhr Sandstone M. Balcewicz et al. 10.3389/feart.2021.673753
- An efficiently dynamic stress strain simulation method on digital rock W. Zhu et al. 10.1016/j.jappgeo.2017.10.008
- New insight of correlation between digital rock analysis and petrographic study for rock type classification within carbonate reservoir transition zone H. Sun et al. 10.1007/s12517-021-06611-8
- Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks L. Queiroz et al. 10.3390/geosciences15020067
- Rock compressibility from microcomputed tomography images: Controls on digital rock simulations N. Saxena et al. 10.1190/geo2018-0499.1
- Pore-scale tomography and imaging: applications, techniques and recommended practice M. Halisch et al. 10.5194/se-7-1141-2016
29 citations as recorded by crossref.
- EPCI: A new tool for predicting absolute permeability from computed tomography images H. Sun et al. 10.1190/geo2018-0653.1
- Microstructures and physical properties in carbonate rocks: A comprehensive review J. Regnet et al. 10.1016/j.marpetgeo.2019.02.022
- Application of alternative digital rock physics methods in a real case study: a challenge between clean and cemented samples S. Karimpouli et al. 10.1111/1365-2478.12611
- Rock properties evaluation for carbonate reservoir characterization with multi-scale digital rock images H. Sun et al. 10.1016/j.petrol.2018.12.075
- Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs R. Kalule et al. 10.1038/s41598-023-36096-2
- Simulating squirt flow in realistic rock models using graphical processing units (GPUs) Y. Alkhimenkov 10.1093/gji/ggae152
- Predictive Soft Computing Methods for Building Digital Rock Models Verified by Positron Emission Tomography Experiments M. Ebadi et al. 10.1029/2021WR031814
- Detecting micro fractures: a comprehensive comparison of conventional and machine-learning-based segmentation methods D. Lee et al. 10.5194/se-13-1475-2022
- Characterizing PEM fuel cell catalyst layer properties from high resolution three-dimensional digital images, part I: A numerical procedure for the ionomer distribution reconstruction M. Ahmed-Maloum et al. 10.1016/j.ijhydene.2024.07.097
- High-resolution GPU-based simulations of quasi-static poroelasticity: seismic attenuation and modulus dispersion in three-dimensional stochastic fracture networks Y. Alkhimenkov 10.1093/gji/ggae439
- Effect of 2D Image Resolution on 3D Stochastic Reconstruction and Developing Petrophysical Trend H. Izadi et al. 10.1007/s11242-018-0997-2
- VP and VS prediction from digital rock images using a combination of U-Net and convolutional neural networks R. Cui et al. 10.1190/geo2020-0162.1
- Testing and evaluation of 2D/3D digital image analysis methods and inclusion theory for microporosity and S-wave prediction in carbonates I. Lima Neto et al. 10.1016/j.marpetgeo.2018.08.004
- Extracting crucial microstructures to characterize the elastic wave velocity and resistivity of Berea sandstone using convolutional neural networks K. Sawayama et al. 10.1190/geo2023-0163.1
- Phenomenological understanding of poroelasticity via the micromechanics of a simple digital-rock model G. Couples 10.1190/geo2018-0577.1
- Acoustical-electrical models of tight rocks based on digital rock physics and double-porosity theory M. Pang et al. 10.1016/j.geoen.2024.212634
- Characterization of reactive flow-induced evolution of carbonate rocks using digital core analysis - part 2: Calculation of the evolution of percolation and transport properties J. Qajar & C. Arns 10.1016/j.jconhyd.2017.08.002
- Predicting macroscopic elastic rock properties requires detailed information on microstructure M. Wetzel et al. 10.1016/j.egypro.2017.08.195
- Computing heterogeneous core sample velocity using Digital Rock Physics: A multiscale approach S. Karimpouli et al. 10.1016/j.cageo.2019.104378
- Consistent prediction of absolute permeability in carbonates without upscaling M. Khodja et al. 10.2516/ogst/2020029
- Diagenetic Trends of Synthetic Reservoir Sandstone Properties Assessed by Digital Rock Physics M. Wetzel et al. 10.3390/min11020151
- Petro-elastic model of the multiple pore-crack structure of carbonate rocks based on digital cores M. Pang et al. 10.1007/s11600-024-01416-1
- Low-Frequency Elastic Properties of a Polymineralic Carbonate: Laboratory Measurement and Digital Rock Physics K. Ikeda et al. 10.3389/feart.2021.628544
- Numerical prediction of carbonate elastic properties based on multi-scale imaging T. Farhana Faisal et al. 10.1016/j.gete.2019.100125
- Quantifying Rock Weakening Due to Decreasing Calcite Mineral Content by Numerical Simulations M. Wetzel et al. 10.3390/ma11040542
- Digital Rock Physics: A Geological Driven Workflow for the Segmentation of Anisotropic Ruhr Sandstone M. Balcewicz et al. 10.3389/feart.2021.673753
- An efficiently dynamic stress strain simulation method on digital rock W. Zhu et al. 10.1016/j.jappgeo.2017.10.008
- New insight of correlation between digital rock analysis and petrographic study for rock type classification within carbonate reservoir transition zone H. Sun et al. 10.1007/s12517-021-06611-8
- Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks L. Queiroz et al. 10.3390/geosciences15020067
Saved (preprint)
Latest update: 19 May 2025
Short summary
Modern estimation of rock properties combines imaging with advanced numerical simulations, an approach known as digital rock physics (DRP). In this paper we suggest a specific segmentation procedure of X-ray micro-computed tomography data with two different resolutions for two sets of carbonate rock samples. These carbonates were already characterized in detail in a previous laboratory study, which we complement with nanoindentation experiments.
Modern estimation of rock properties combines imaging with advanced numerical simulations, an...
