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 …
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 …
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 …
RockFlow: Fast generation of synthetic source rock images using generative flow models
Image-based evaluation methods are a valuable tool for source rock characterization. The
time and resources needed to obtain images has spurred development of machine-learning …
time and resources needed to obtain images has spurred development of machine-learning …
Multi-scale reconstruction of porous media from low-resolution core images using conditional generative adversarial networks
Various rocks such as carbonate, coal or shale contain both micro-and macro-pores. To
accurately predict the fluid flow and mechanical properties of these porous media, a multi …
accurately predict the fluid flow and mechanical properties of these porous media, a multi …
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 …
Digital rock resolution enhancement and detail recovery with multi attention neural network
High-quality digital rock images are essential for subsequent high-precision numerical
simulations. But limited by the imaging capability of computed tomography (CT), high …
simulations. But limited by the imaging capability of computed tomography (CT), high …
Enhancing the resolution of micro-CT images of rock samples via unsupervised machine learning based on a diffusion model
Objectives/Scope X-ray Micro-Computer Tomography (μ-CT) has been widely adopted in
earth science and petroleum engineering due to its non-destructive characteristic …
earth science and petroleum engineering due to its non-destructive characteristic …
Siamese-SR: A siamese super-resolution model for boosting resolution of digital rock images for improved petrophysical property estimation
Digital Rock Physics leverages advances in digital image acquisition and analysis
techniques to create 3D digital images of rock samples, which are used for computational …
techniques to create 3D digital images of rock samples, which are used for computational …
Nano-imaging of shale using electron microscopy techniques
L Froute, AR Kovscek - SPE/AAPG/SEG Unconventional Resources …, 2020 - onepetro.org
Modeling of fluid migration in shale nanoscale systems is hampered by knowledge gaps in
rock-fluid affinity, storage and transport processes under confinement, phase behavior …
rock-fluid affinity, storage and transport processes under confinement, phase behavior …