Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm
Accounting for the morphology of shale formations, which represent highly heterogeneous
porous media, is a difficult problem. Although two-or three-dimensional images of such …
porous media, is a difficult problem. Although two-or three-dimensional images of such …
Reconstruction of shale image based on Wasserstein Generative Adversarial Networks with gradient penalty
W Zha, X Li, Y Xing, L He, D Li - Advances in Geo-Energy Research, 2020 - sciopen.com
Abstract Generative Adversarial Networks (GANs), as most popular artificial intelligence
models in the current image generation field, have excellent image generation capabilities …
models in the current image generation field, have excellent image generation capabilities …
Deep learning in pore scale imaging and modeling
Pore-scale imaging and modeling has advanced greatly through the integration of Deep
Learning into the workflow, from image processing to simulating physical processes. In …
Learning into the workflow, from image processing to simulating physical processes. In …
Stochastic reconstruction of an oolitic limestone by generative adversarial networks
Stochastic image reconstruction is a key part of modern digital rock physics and material
analysis that aims to create representative samples of microstructures for upsampling …
analysis that aims to create representative samples of microstructures for upsampling …
Multiscale and multiresolution modeling of shales and their flow and morphological properties
P Tahmasebi, F Javadpour, M Sahimi - Scientific reports, 2015 - nature.com
The need for more accessible energy resources makes shale formations increasingly
important. Characterization of such low-permeability formations is complicated, due to the …
important. Characterization of such low-permeability formations is complicated, due to the …
Multimodal imaging and machine learning to enhance microscope images of shale
A machine learning based image processing workflow is presented to enhance shale
source rock microscopic images obtained using diverse imaging platforms. Images were …
source rock microscopic images obtained using diverse imaging platforms. Images were …
Nanoscale and multiresolution models for shale samples
P Tahmasebi - Fuel, 2018 - Elsevier
Abstract Characterization of shale systems requires imaging at different scales. One reason
can be due to a diverse pore-size distribution. Low-resolution images often cover the large …
can be due to a diverse pore-size distribution. Low-resolution images often cover the large …
Advances in the application of deep learning methods to digital rock technology.
X Li, B Li, F Liu, T Li, X Nie - Advances in Geo-Energy …, 2023 - search.ebscohost.com
Digital rock technology is becoming essential in reservoir engineering and petrophysics.
Three-dimensional digital rock reconstruction, image resolution enhancement, image …
Three-dimensional digital rock reconstruction, image resolution enhancement, image …
Multiscale study for stochastic characterization of shale samples
Abstract Characterization of shale reservoirs, which are typically of low permeability, is very
difficult because of the presence of multiscale structures. While three-dimensional (3D) …
difficult because of the presence of multiscale structures. While three-dimensional (3D) …
Multiscale modeling of shale samples based on low-and high-resolution images
Y Wu, P Tahmasebi, C Lin, L Ren, C Dong - Marine and Petroleum Geology, 2019 - Elsevier
Accurate modeling of shale samples is very crucial for evaluating and predicting the physical
properties. However, obtaining large-scale and high-resolution images of shales using a …
properties. However, obtaining large-scale and high-resolution images of shales using a …