A review of experimental and numerical modeling of digital coalbed methane: Imaging, segmentation, fracture modeling and permeability prediction
Coalbed methane (CBM) is a form of natural gas that is extracted from coalbeds.
Characterization of CBMs is very challenging mostly due to the very complex fracture system …
Characterization of CBMs is very challenging mostly due to the very complex fracture system …
Striving to translate shale physics across ten orders of magnitude: What have we learned?
Shales will play an important role in the successful transition of energy from fossil-based
resources to renewables in the coming decades. Aside from being a significant source of …
resources to renewables in the coming decades. Aside from being a significant source of …
Porous media characterization using Minkowski functionals: Theories, applications and future directions
An elementary question in porous media research is in regard to the relationship between
structure and function. In most fields, the porosity and permeability of porous media are …
structure and function. In most fields, the porosity and permeability of porous media are …
CT-image of rock samples super resolution using 3D convolutional neural network
Computed Tomography (CT) imaging technique is widely used in geological exploration,
medical diagnosis and other fields. However, the resolution of CT images is usually limited …
medical diagnosis and other fields. However, the resolution of CT images is usually limited …
DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials
DeePore 2 is a deep learning workflow for rapid estimation of a wide range of porous
material properties based on the binarized micro–tomography images. By combining …
material properties based on the binarized micro–tomography images. By combining …
Super-resolution of real-world rock microcomputed tomography images using cycle-consistent generative adversarial networks
Digital rock imaging plays an important role in studying the microstructure and macroscopic
properties of rocks, where microcomputed tomography (MCT) is widely used. Due to the …
properties of rocks, where microcomputed tomography (MCT) is widely used. Due to the …
Coupled generative adversarial and auto-encoder neural networks to reconstruct three-dimensional multi-scale porous media
In this study, coupled Generative Adversarial and Auto-Encoder neural networks have been
used to reconstruct realizations of three-dimensional porous media. The gradient-descent …
used to reconstruct realizations of three-dimensional porous media. The gradient-descent …
Mapping distribution of fractures and minerals in rock samples using Res-VGG-UNet and threshold segmentation methods
Understanding the internal structures of rock and their subsequent evolution is essential
across multiple disciplines. Fractures and mineral grains are significant components of …
across multiple disciplines. Fractures and mineral grains are significant components of …
Permeability prediction of low-resolution porous media images using autoencoder-based convolutional neural network
Permeability prediction of porous media from numerical approaches is an important
supplement for experimental measurements with the benefits of being more economical and …
supplement for experimental measurements with the benefits of being more economical and …
An innovative application of generative adversarial networks for physically accurate rock images with an unprecedented field of view
High‐resolution X‐ray microcomputed tomography (micro‐CT) data are used for the
accurate determination of rock petrophysical properties. High‐resolution data, however …
accurate determination of rock petrophysical properties. High‐resolution data, however …