Neural Network Model To Predict Slug Frequency of Low-Viscosity Two-Phase Flow

SPE Journal ◽  
2020 ◽  
Author(s):  
Ghassan H. Abdul-Majeed ◽  
Yousif Al-Dunainawi ◽  
Gabriel Soto-Cortes ◽  
Jalal Abdulwahid Al-Sudani
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Low Viscosity

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.

Miscible, vertical network model 2-D simulations of two-phase flow displacements in porous media

2004 ◽  
Vol 343 ◽  
pp. 317-334 ◽  
Author(s):  
Kristen Stevenson ◽  
Grant S. Bromhal ◽  
Martin Ferer ◽  
Joseph Wilder ◽  
Duane H. Smith
Keyword(s):  
Porous Media ◽  
Network Model ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase
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