Bingtao Yang

Dr. Bingtao Yang

orcid

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 July 2026 in Water
Verified
Journal Article
Open access
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BYBingtao Yang
Bingtao Yang
PDPingchuan Dong
Pingchuan Dong
JLJunyan Liu
Junyan Liu
JPJianxin Peng
Jianxin Peng
LLLili Li
Lili Li
Determining the representative elementary volume (REV) of tight sandstone remains challenging because CT resolution and field of view impose competing constraints on pore-structure characterization. In this study, six tight sandstone samples were examined using multi-resolution micro-CT with voxel sizes of 0.556, 3.98, and 10.5 μm. A unified stability-index method was used to evaluate geometric, topological, and hydraulic parameters, including porosity, fractal dimension, anisotropy, pore-size distribution, specific surface area, coordination number, sphericity, tortuosity, and permeability. The results show that both CT resolution and field of view influence REV estimates. High-resolution images preserve more micropores, narrow throats, and irregular boundaries, whereas low-resolution images lose fine-pore information but better capture larger-scale structural heterogeneity. Hydraulic parameters generally require larger REVs. Porosity and coordination number show scale-dependent trends similar to those of the hydraulic parameters, indicating that pore-space abundance and network connectivity jointly influence the representative scale of flow. Pore-size distribution and anisotropy provide more reliable REV estimates at high resolution, while fractal dimension, specific surface area, and sphericity are more sensitive to changes in resolution. Therefore, flow-related REV evaluation in tight sandstone should account for resolution limitations and integrate multiple geometric, topological, and hydraulic parameters rather than relying solely on porosity.