Characterization
of the pore size distribution of tight sandstone
is of great significance for the effective development of tight oil
resources. This paper analyzed the fractal characteristics of pore
spaces of tight sandstones from the Yanchang Formation in the Ordos
Basin of China with NMR and rate-controlled porosimetry (RCP). A new
NMR fractal analysis method that considers the movable fluid distribution
was proposed. Compared with the conventional NMR fractal analysis
metrics, the fractal dimensions of the pore spaces occupied by completely
movable fluid and partially movable fluid have stronger correlations
with the tight sandstone petrophysical properties. This work shows
that the fractal dimensions of pore spaces with partially movable
and completely movable fluids are negatively correlated with the permeability
and reservoir quality index (RQI), and as the fractal dimensions approach
3, the tight sandstone petrophysical properties become less favorable.
The fractal dimensions of the pore spaces detected by RCP were calculated
with three different fractal models, the thermodynamic model, the
3D capillary model, and the wetting phase model. The research results
show that compared with the results of the other two fractal models,
the fractal dimensions obtained from the 3D capillary model can be
used to more accurately evaluate tight sandstone petrophysical properties,
and the calculated fractal dimensions are strongly negatively correlated
to the pore radius, sorting coefficient, skewness, and permeability.
The fractal dimensions obtained from the thermodynamic model have
no obvious relationship with the tight sandstone properties, and the
wetting phase model gives opposite fractal analysis results, so these
two fractal models are not recommended for fractal analysis of tight
sandstone pore size distributions via RCP. Finally, the models for
predicting tight sandstone permeability with NMR and RCP were evaluated
and screened.