Pore-network modeling of flow in shale nanopores: Network structure, flow principles, and computational algorithms
Hydrocarbons in subsurface nanoporous media, such as shale, are promising energy
resources to compensate for the shortage of conventional reservoirs. Pore-network …
resources to compensate for the shortage of conventional reservoirs. Pore-network …
Transport of shale gas in microporous/nanoporous media: molecular to pore-scale simulations
As the typical unconventional reservoir, shale gas is believed to be the most promising
alternative for the conventional resources in future energy patterns, attracting more and …
alternative for the conventional resources in future energy patterns, attracting more and …
Review of hydrate-bearing sediment permeability for natural gas hydrate exploitation: Measurement and application development
G Gong, G Zhao, W Pang, M Yang, B Chen… - Journal of Petroleum …, 2023 - Elsevier
Natural gas hydrate-bearing sediment permeability, which influences the flow behavior of
fluids, is a key physical parameter used to determine the exploitation efficiency of hydrate …
fluids, is a key physical parameter used to determine the exploitation efficiency of hydrate …
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 …
A new and reliable dual model-and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi …
L Zhu, C Zhang, C Zhang, Z Zhang, X Zhou… - Journal of Petroleum …, 2020 - Elsevier
The total organic carbon content (TOC) is the most important parameter when determining
the source rock quality. At present, there are two main types of TOC well logging calculation …
the source rock quality. At present, there are two main types of TOC well logging calculation …
[HTML][HTML] Morphological and hydrodynamic properties of hydrates during dissociation in sediment
The formation and dissociation of hydrate at the pore scale can be observed qualitatively
using μ-CT X-ray imaging. However, a quantitative criterion for hydrate pattern is not …
using μ-CT X-ray imaging. However, a quantitative criterion for hydrate pattern is not …
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 …
Two-phase flow in heterogeneous porous media: A multiscale digital model approach
Pore-scale fluid flow simulation on digital rocks from X-ray CT experiments can predict the
physical properties and analyze the distribution characteristics of the fluids, which is critical …
physical properties and analyze the distribution characteristics of the fluids, which is critical …
Analyzing the effects of multi-scale pore systems on reservoir properties—a case study on Xihu Depression, East China Sea Shelf Basin, China
F Zeng, C Dong, C Lin, Y Wu, S Tian, X Zhang… - Journal of Petroleum …, 2021 - Elsevier
Determining the distribution and properties of multi-scale pores and the effect of these pores
on reservoir properties is very significant for the analysis of the factors controlling pore …
on reservoir properties is very significant for the analysis of the factors controlling pore …
Fast and accurate reconstruction of large-scale 3D porous media using deep learning
The accurate and efficient reconstruction of the porous media is the fundamental link to
revealing its structural features and physical properties. In this work, we propose a deep …
revealing its structural features and physical properties. In this work, we propose a deep …