Benchmarking conventional and machine learning segmentation techniques for digital rock physics analysis of fractured rocks
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Benchmarking conventional and machine learning segmentation techniques for digital rock physics analysis of fractured rocks
Authors
Keywords
-
Journal
Environmental Earth Sciences
Volume 81, Issue 3, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-25
DOI
10.1007/s12665-021-10133-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fracture recognition in ultrasonic logging images via unsupervised segmentation network
- (2021) Wei Zhang et al. Earth Science Informatics
- Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images
- (2021) Ying Da Wang et al. APPLIED SOFT COMPUTING
- Adaptive Multi-Scale Feature Fusion based U-net for fracture segmentation in coal rock images
- (2021) Fengli Lu et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Digital Rock Segmentation for Petrophysical Analysis With Reduced User Bias Using Convolutional Neural Networks
- (2020) Yufu Niu et al. WATER RESOURCES RESEARCH
- Ratiometric population sensing by a pump-probe signaling system in Bacillus subtilis
- (2020) Heiko Babel et al. Nature Communications
- Rapid estimation of permeability from digital rock using 3D convolutional neural network
- (2020) Jin Hong et al. COMPUTATIONAL GEOSCIENCES
- Sensitivity analysis of segmentation techniques and voxel resolution on rock physical properties by X-ray imaging
- (2020) Y.D. Shou et al. JOURNAL OF STRUCTURAL GEOLOGY
- Comparison of Surface Roughness and Transport Processes of Sawed, Split and Natural Sandstone Fractures
- (2020) Sascha Frank et al. Water
- Dual-scale pore network reconstruction of vugular carbonates using multi-scale imaging techniques
- (2020) Abolfazl Moslemipour et al. ADVANCES IN WATER RESOURCES
- Robust reservoir rock fracture recognition based on a new sparse feature learning and data training method
- (2019) Fatemeh Taibi et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- Rock properties from micro-CT images: digital rock transforms for resolution, pore volume, and field of view
- (2019) Dr Nishank Saxena et al. ADVANCES IN WATER RESOURCES
- A review of high-resolution X-ray computed tomography applied to petroleum geology and a case study
- (2019) Penghui Zhang et al. MICRON
- ilastik: interactive machine learning for (bio)image analysis
- (2019) Stuart Berg et al. NATURE METHODS
- Coal Cleat/Fracture Segmentation Using Convolutional Neural Networks
- (2019) Sadegh Karimpouli et al. Natural Resources Research
- Effect of resolution, reconstruction settings, and segmentation methods on the numerical calculation of saturated soil hydraulic conductivity from 3D computed tomography images
- (2019) V. Pot et al. GEODERMA
- The Sensitivity of Estimates of Multiphase Fluid and Solid Properties of Porous Rocks to Image Processing
- (2019) Gaetano Garfi et al. TRANSPORT IN POROUS MEDIA
- Digital Rock Physics: Using CT Scans to Compute Rock Properties
- (2018) Hasan Al-Marzouqi IEEE SIGNAL PROCESSING MAGAZINE
- In situ characterization of immiscible three-phase flow at the pore scale for a water-wet carbonate rock.
- (2018) Alessio Scanziani et al. ADVANCES IN WATER RESOURCES
- Experimental and numerical investigations on the effect of fracture geometry and fracture aperture distribution on flow and solute transport in natural fractures
- (2018) M. Stoll et al. JOURNAL OF CONTAMINANT HYDROLOGY
- Digital rock analysis for accurate prediction of fractured media permeability
- (2017) Hamed Lamei Ramandi et al. JOURNAL OF HYDROLOGY
- Effect of image segmentation & voxel size on micro-CT computed effective transport & elastic properties
- (2017) Nishank Saxena et al. MARINE AND PETROLEUM GEOLOGY
- Processing of rock core microtomography images: Using seven different machine learning algorithms
- (2016) Swarup Chauhan et al. COMPUTERS & GEOSCIENCES
- The LIR space partitioning system applied to the Stokes equations
- (2015) Sven Linden et al. GRAPHICAL MODELS
- Fast X-ray Micro-Tomography of Multiphase Flow in Berea Sandstone: A Sensitivity Study on Image Processing
- (2014) L. Leu et al. TRANSPORT IN POROUS MEDIA
- Image processing of multiphase images obtained via X-ray microtomography: A review
- (2014) Steffen Schlüter et al. WATER RESOURCES RESEARCH
- High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications
- (2013) V. Cnudde et al. EARTH-SCIENCE REVIEWS
- Evaluation of Porosity and Its Variation in Porous Materials Using Microfocus X-ray Computed Tomography Considering the Partial Volume Effect
- (2013) Masaji Kato et al. MATERIALS TRANSACTIONS
- Pore-scale imaging and modelling
- (2012) Martin J. Blunt et al. ADVANCES IN WATER RESOURCES
- Digital rock physics benchmarks—part II: Computing effective properties
- (2012) Heiko Andrä et al. COMPUTERS & GEOSCIENCES
- Digital rock physics benchmarks—Part I: Imaging and segmentation
- (2012) Heiko Andrä et al. COMPUTERS & GEOSCIENCES
- Thermoporoelastic properties of Flechtinger sandstone
- (2011) Alireza Hassanzadegan et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Three-dimensional measurement of fractures in heterogeneous materials using high-resolution X-ray computed tomography
- (2010) Richard A. Ketcham et al. Geosphere
- Fracturing of porous rock induced by fluid injection
- (2010) Sergei Stanchits et al. TECTONOPHYSICS
- Segmentation of X-ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures
- (2009) Pavel Iassonov et al. WATER RESOURCES RESEARCH
- Imaging and image processing in porous media research
- (2008) A. Kaestner et al. ADVANCES IN WATER RESOURCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search