Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jianlin Zhao is active.

Publication


Featured researches published by Jianlin Zhao.


Scientific Reports | 2016

Study of Gas Flow Characteristics in Tight Porous Media with a Microscale Lattice Boltzmann Model

Jianlin Zhao; Jun Yao; Min Zhang; Lei Zhang; Yongfei Yang; Hai Sun; Senyou An; Aifen Li

To investigate the gas flow characteristics in tight porous media, a microscale lattice Boltzmann (LB) model with the regularization procedure is firstly adopted to simulate gas flow in three-dimensional (3D) digital rocks. A shale digital rock and a sandstone digital rock are reconstructed to study the effects of pressure, temperature and pore size on microscale gas flow. The simulation results show that because of the microscale effect in tight porous media, the apparent permeability is always higher than the intrinsic permeability, and with the decrease of pressure or pore size, or with the increase of temperature, the difference between apparent permeability and intrinsic permeability increases. In addition, the Knudsen numbers under different conditions are calculated and the results show that gas flow characteristics in the digital rocks under different Knudsen numbers are quite different. With the increase of Knudsen number, gas flow in the digital rocks becomes more uniform and the effect of heterogeneity of the porous media on gas flow decreases. Finally, two commonly used apparent permeability calculation models are evaluated by the simulation results and the Klinkenberg model shows better accuracy. In addition, a better proportionality factor in Klinkenberg model is proposed according to the simulation results.


Journal of Applied Physics | 2016

Simulation of microscale gas flow in heterogeneous porous media based on the lattice Boltzmann method

Jianlin Zhao; Jun Yao; Aifen Li; Min Zhang; Lei Zhang; Yongfei Yang; Hai Sun

A microscale multi-relaxation-time lattice Boltzmann model with the regularization procedure is adopted to simulate gas flow in different porous media. The diffuse reflection boundary condition is used to deal with the random solid boundaries. Because of the complex geometry of the pores, the characteristic length is no longer a constant but a function of the pore locations for the porous media. A rational method is proposed to obtain the local characteristic lengths of the porous media for the microscale gas flow simulations. The simulation results show that gas flow characteristics in different flow regions are notably different. In the continuum flow region and slip flow region, the gas flow abilities in different pores are quite different. The effect of heterogeneity of the porous media on gas velocity distribution is very obvious. As the Knudsen number increases, the differences of gas flow abilities in different pores decrease. For gas flow in the strong transition flow region and free molecular flo...


Central European Journal of Physics | 2018

Gas flow regimes judgement in nanoporous media by digital core analysis

Wenhui Song; Hua Liu; Weihong Wang; Jianlin Zhao; Hai Sun; Dongying Wang; Yang Li; Jun Yao

Abstract A method to judge shale gas flow regimes based on digital core analysis is proposed in this work. Firstly, three-dimensional shale digital cores in an anonymous shale formation in the Sichuan Basin are reconstructed by a Markov Chain Monte Carlo (MCMC) algorithm based on two-dimensional Scanning Electron Microscope (SEM) images. Then a voxel-based method is proposed to calculate the characteristic length of the three-dimensional shale digital core. The Knudsen number for three-dimensional shale digital cores is calculated by the ratio of the molecular mean free path to the characteristic length and is used to judge the flow regimes under different reservoir conditions. The results indicate that shale gas flow regimes are mainly located at the slip flow and transition flow region. Furthermore, adsorption has no obvious influence on the free gas flow regimes. Because adsorption only exists in organic pores, three-dimensional inorganic pores and organic pores in the Haynesville shale formation are reconstructed by a MCMC algorithm based on two-dimensional SEM images. The characteristic lengths of the three-dimensional inorganic pores and three-dimensional organic pores are both calculated and gas flow regimes in organic pores and inorganic pores are judged.


Fuel | 2016

Apparent gas permeability in an organic-rich shale reservoir

Wenhui Song; Jun Yao; Yang Li; Hai Sun; Lei Zhang; Yongfei Yang; Jianlin Zhao; Hongguang Sui


Journal of Natural Gas Science and Engineering | 2015

Triple-continuum modeling of shale gas reservoirs considering the effect of kerogen

Min Zhang; Jun Yao; Hai Sun; Jianlin Zhao; Dongyan Fan; Zhaoqin Huang; Yueying Wang


Journal of Natural Gas Science and Engineering | 2016

Influence of pore structure parameters on flow characteristics based on a digital rock and the pore network model

Senyou An; Jun Yao; Yongfei Yang; Lei Zhang; Jianlin Zhao; Ying Gao


International Journal of Heat and Mass Transfer | 2016

Pore-scale simulation of shale gas production considering the adsorption effect

Jianlin Zhao; Jun Yao; Lei Zhang; Hongguang Sui; Min Zhang


Journal of Natural Gas Science and Engineering | 2017

The microscale analysis of reverse displacement based on digital core

Senyou An; Jun Yao; Yongfei Yang; Wenjie Zhang; Jianlin Zhao; Aifen Li


Journal of Natural Gas Science and Engineering | 2016

Influence of stress sensitivity on microscopic pore structure and fluid flow in porous media

Yongfei Yang; Wenjie Zhang; Ying Gao; Yujin Wan; Yunhe Su; Senyou An; Hai Sun; Lei Zhang; Jianlin Zhao; Lei Liu; Pengfei Liu; Zhihui Liu; Aifen Li; Jun Yao


Journal of Natural Gas Science and Engineering | 2017

The influence of wettability and shut-in time on oil recovery through microscale simulation based on an ideal model

Lei Zhang; Jun Yao; Jianlin Zhao; Aifen Li; Hai Sun; Yujin Wan; Yunhe Su

Collaboration


Dive into the Jianlin Zhao's collaboration.

Top Co-Authors

Avatar

Jun Yao

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Hai Sun

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Lei Zhang

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Yongfei Yang

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Aifen Li

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Senyou An

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Min Zhang

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Hongguang Sui

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Wenhui Song

China University of Petroleum

View shared research outputs
Top Co-Authors

Avatar

Wenjie Zhang

China University of Petroleum

View shared research outputs
Researchain Logo
Decentralizing Knowledge