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

2016 ◽  
Vol 31 ◽  
pp. 156-163 ◽  
Author(s):  
Senyou An ◽  
Jun Yao ◽  
Yongfei Yang ◽  
Lei Zhang ◽  
Jianlin Zhao ◽  
...  
Keyword(s):  
Pore Structure ◽  
Network Model ◽  
Flow Characteristics ◽  
Pore Network ◽  
Pore Network Model ◽  
Structure Parameters ◽  
Digital Rock

Based on the Pore Network Model of CO2-Water-Quartz System Two-Phase Flow Characteristics Study

2014 ◽  
Vol 962-965 ◽  
pp. 1289-1292 ◽  
Author(s):  
Ling Yu Chen ◽  
Yu Liu ◽  
Meiheriayi Mutailipu
Keyword(s):  
Network Model ◽  
Two Phase Flow ◽  
Flow Characteristics ◽  
Pore Network ◽  
Pore Network Model ◽  
Phase Flow ◽  
Saline Aquifer ◽  
Two Phase ◽  
Aquifer Storage ◽  
Relative Permeability Curves

Saline aquifer storage is considered to be one of the main ways to realize CO2 geological sequestration. The purpose of the paper is to research CO2 and water seepage characteristics under the condition of different pressure and diameter of glass sand. First, establish four kinds of sand packed beds pore network model. Secondly, measuring the gas-liquid interfacial tension, contact angle under the condition of 50°C and different pressure (5-20MPa). Finally, using the two-phase flow model, obtain the gas-liquid two-phase relative permeability curves under different conditions. The simulation results of this paper can help to predict the actual saline aquifer storage of CO2 sequestration.

scholarly journals Validation of pore network model for hygric property calculation

2019 ◽  
Vol 282 ◽  
pp. 02024
Author(s):  
Muhammad Islahuddin ◽  
Chi Feng ◽  
Steven Claes ◽  
Hans Janssen
Keyword(s):  
Moisture Content ◽  
Pore Structure ◽  
Network Model ◽  
Building Materials ◽  
Pore Space ◽  
Pore Network ◽  
Pore Network Model ◽  
Pore Scale ◽  
Structure Information ◽  
Hygric Properties

Hygric properties can be estimated directly from pore structure information, represented by a network of regularly shaped pores, extracted from a pore structure image to conserve the real topology. On this network, pore-scale models of moisture behaviour determine the hygric properties of moisture storage and transport. The reliability of this approach is validated with a sintered-glass filter. Despite its more limited heterogeneity and pore size range relative to typical porous building materials, it provides a good basis for validating crucial pore-scale moisture processes. Measured storage data compare well to the estimated ad- and desorption moisture retention curves as well as to the saturated and capillary moisture content. Furthermore, the simulated whole-range moisture permeability curve agrees acceptably with measured data. The variation in modelling the pore space as a pore network model is also analysed by considering two distinct pore network extraction methods. The measured and simulated moisture contents agree well for the whole capillary range. Moreover, the resulting transport properties are generally accurate for the whole moisture content range. On the other hand, the estimated vapour permeabilities show notable variations between the two pore network models.

scholarly journals Effect of Pore Structure on Slippage Effect in Unsaturated Tight Formation Using Pore Network Model

2021 ◽  
Author(s):  
Minxia He ◽  
Yingfang Zhou ◽  
Bintao Chen ◽  
Tao Zhang ◽  
Keliu Wu ◽  
...  
Keyword(s):  
Pore Structure ◽  
Network Model ◽  
Pore Network ◽  
Pore Network Model ◽  
Slippage Effect ◽  
Tight Formation

scholarly journals Pore space characterization method of shale matrix formation based on superposed digital rock and pore-network model

2018 ◽  
Vol 48 (5) ◽  
pp. 488-498 ◽  
Author(s):  
YongFei YANG ◽  
ZhiHui LIU ◽  
Jun YAO ◽  
ChenChen WANG ◽  
Hai SUN ◽  
...  
Keyword(s):  
Network Model ◽  
Pore Space ◽  
Pore Network ◽  
Pore Network Model ◽  
Digital Rock ◽  
Space Characterization

scholarly journals An anisotropic pore-network model to estimate the shale gas permeability

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Di Zhang ◽  
Xinghao Zhang ◽  
Haohao Guo ◽  
Dantong Lin ◽  
Jay N. Meegoda ◽  
...  
Keyword(s):  
Pore Structure ◽  
Network Model ◽  
Shale Gas ◽  
High Pressures ◽  
Gas Permeability ◽  
Qaidam Basin ◽  
Three Dimensional ◽  
Pore Network ◽  
Pore Network Model ◽  
Shale Formation

AbstractThe permeability of shale is a significant and important design parameter for shale gas extraction. The shale gas permeability is usually obtained based on Darcy flow using standard laboratory permeability tests done on core samples, that do not account for different transport mechanisms at high pressures and anisotropic effects in shales due to nano-scale pore structure. In this study, the permeability of shale is predicted using a pore network model. The characteristics of pore structure can be described by specific parameters, including porosity, pore body and pore throat sizes and distributions and coordination numbers. The anisotropy was incorporated into the model using a coordination number ratio, and an algorithm that was developed for connections of pores in the shale formation. By predicting hydraulic connectivity and comparing it with several high-pressure permeability tests, the proposed three-dimensional pore network model was verified. Results show that the prediction from the anisotropic pore network model is closer to the test results than that based on the isotropic pore network model. The predicted permeability values from numerical simulation using anisotropic pore network model for four shales from Qaidam Basin, China are quite similar to those measured from laboratory tests. This study confirmed that the developed anisotropic three-dimensional pore network model could reasonably represent the natural gas flow in the actual shale formation so that it can be used as a prediction tool.

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