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 …
Application of automated mineralogy in petroleum geology and development and CO2 sequestration: A review
Automated Mineralogy (AM) is a semi-automatic mineralogical tool based on a scanning
electron micrography-energy dispersion spectrometry (SEM‒EDS) platform. It has the …
electron micrography-energy dispersion spectrometry (SEM‒EDS) platform. It has the …
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean
electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is …
electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is …
U-Net model for multi-component digital rock modeling of shales based on CT and QEMSCAN images
B Li, X Nie, J Cai, X Zhou, C Wang, D Han - Journal of Petroleum Science …, 2022 - Elsevier
The establishment of digital images of cores with multi-mineral components holds the
premise of analyzing the spatial distribution of shale minerals and carrying out numerical …
premise of analyzing the spatial distribution of shale minerals and carrying out numerical …
Multiscale characterization of wettability in porous media
Wettability is one of the key controlling parameters for multiphase flow in porous media, and
paramount for various geoscience applications. While a general awareness of the …
paramount for various geoscience applications. While a general awareness of the …
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 …
Recent advances in multiscale digital rock reconstruction, flow simulation, and experiments during shale gas production
The complex and multiscale nature of shale gas transport imposes new challenges to the
already well-developed techniques for conventional reservoirs, especially digital core …
already well-developed techniques for conventional reservoirs, especially digital core …
Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework
The lithium-ion battery (LIB) field is moving towards the direction of investigating spatially
resolved physical phenomena in the 3D porous microstructure of electrodes. These pore …
resolved physical phenomena in the 3D porous microstructure of electrodes. These pore …
Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM
Abstract Three-dimensional (3D) X-ray micro-computed tomography (μCT) has been widely
used in petroleum engineering because it can provide detailed pore structural information …
used in petroleum engineering because it can provide detailed pore structural information …
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 …