Pore-network modeling of flow in shale nanopores: Network structure, flow principles, and computational algorithms

R Cui, SM Hassanizadeh, S Sun - Earth-Science Reviews, 2022 - Elsevier
Hydrocarbons in subsurface nanoporous media, such as shale, are promising energy
resources to compensate for the shortage of conventional reservoirs. Pore-network …

Transport of shale gas in microporous/nanoporous media: molecular to pore-scale simulations

H Yu, HY Xu, JC Fan, YB Zhu, FC Wang, HA Wu - Energy & Fuels, 2020 - ACS Publications
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 …

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 …

Recent advances in multiscale digital rock reconstruction, flow simulation, and experiments during shale gas production

Y Yang, F Liu, Q Zhang, Y Li, K Wang, Q Xu… - Energy & …, 2023 - ACS Publications
The complex and multiscale nature of shale gas transport imposes new challenges to the
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 …

[HTML][HTML] Morphological and hydrodynamic properties of hydrates during dissociation in sediment

Z Sun, Y Yin, Y Wu, Z Sun, L Zhu, Y Zhan, V Niasar… - Fuel, 2023 - Elsevier
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 …

Permeability prediction of low-resolution porous media images using autoencoder-based convolutional neural network

HL Zhang, H Yu, XH Yuan, HY Xu, M Micheal… - Journal of Petroleum …, 2022 - Elsevier
Permeability prediction of porous media from numerical approaches is an important
supplement for experimental measurements with the benefits of being more economical and …

Two-phase flow in heterogeneous porous media: A multiscale digital model approach

Y Wu, P Tahmasebi, K Liu, S Fagbemi, C Lin… - International Journal of …, 2022 - Elsevier
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 …

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 …

Fast and accurate reconstruction of large-scale 3D porous media using deep learning

HL Zhang, H Yu, SW Meng, MC Huang… - Journal of Petroleum …, 2022 - Elsevier
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 …