Study on Microscopic Seepage Simulation of Tight Sandstone Reservoir Based on Digital Core Technology

Understanding the flow characteristics of tight sandstone reservoirs is crucial for improving resource recovery efficiency. During fluid flow in porous media, surfactant components in the fluid can adsorb onto solid surfaces, forming a boundary layer. This boundary layer has a pronounced impact on fluid movement within tight sandstone formations. In this study, digital core analysis is employed to investigate how the boundary layer influences non-Darcy flow behavior. A computational model is first developed to quantify the thickness and viscosity of the boundary layer, followed by the construction of a mathematical flow model based on the Navier–Stokes equations that incorporates boundary layer effects. Using CT scan data from actual core samples, a pore network model is then built to represent the reservoir’s complex pore structure. The impact of boundary layer development on microscale flow is subsequently analyzed under varying pore conditions. The results indicate that both boundary layer thickness and viscosity significantly influence fluid transport in microscopic pores. When the relative boundary layer thickness is 0.5, and the relative viscosity reaches 10, the actual outlet flow rate drops to only 12.89% of the value obtained without considering boundary layer effects. Furthermore, in tight reservoirs with smaller pore throat sizes, the boundary layer introduces considerable flow resistance. When boundary layer effects are incorporated into the pore network model, permeability initially increases with pressure gradient and then stabilizes.

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Publication Details

Journal
Eng—Advances in Engineering
Published
2026-01-04
DOI
https://doi.org/10.3390/eng7010025
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
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article

Study on Microscopic Seepage Simulation of Tight Sandstone Reservoir Based on Digital Core Technology

H. Chen, Lin Du, Xiaopeng Cao
Eng—Advances in Engineering
Enhanced Oil Recovery Techniques
article

Study on Microscopic Seepage Simulation of Tight Sandstone Reservoir Based on Digital Core Technology

H. Chen, Lin Du, Xiaopeng Cao
article en

Abstract

Understanding the flow characteristics of tight sandstone reservoirs is crucial for improving resource recovery efficiency. During fluid flow in porous media, surfactant components in the fluid can adsorb onto solid surfaces, forming a boundary layer. This boundary layer has a pronounced impact on fluid movement within tight sandstone formations. In this study, digital core analysis is employed to investigate how the boundary layer influences non-Darcy flow behavior. A computational model is first developed to quantify the thickness and viscosity of the boundary layer, followed by the construction of a mathematical flow model based on the Navier–Stokes equations that incorporates boundary layer effects. Using CT scan data from actual core samples, a pore network model is then built to represent the reservoir’s complex pore structure. The impact of boundary layer development on microscale flow is subsequently analyzed under varying pore conditions. The results indicate that both boundary layer thickness and viscosity significantly influence fluid transport in microscopic pores. When the relative boundary layer thickness is 0.5, and the relative viscosity reaches 10, the actual outlet flow rate drops to only 12.89% of the value obtained without considering boundary layer effects. Furthermore, in tight reservoirs with smaller pore throat sizes, the boundary layer introduces considerable flow resistance. When boundary layer effects are incorporated into the pore network model, permeability initially increases with pressure gradient and then stabilizes.

Eng—Advances in EngineeringVol. 7(1)
Sinopec (China) (CN), Chengdu University of Technology (CN)
Decent work and economic growth
Openalex Percentile: Top 97%
Enhanced Oil Recovery Techniques
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Study on Microscopic Seepage Simulation of Tight Sandstone Reservoir Based on Digital Core Technology — H. Chen, Lin Du, et al. · Eng—Advances in Engineering (2026) | TGRS Research Map | TGRS