Pore-scale modeling has seen tremendous development in understanding petrophysical rock properties and reducing uncertainties in reservoir characterization where experimental measurements may be lacking. The aim of this work was to validate and verify the accuracy of the density functional hydrodynamics (DFH) method in...
D. Klemin, S. Masalmeh, A. AlSumaiti et al.· Petrophysics· 0 citations
By anchoring machine learning predictions to physical rock measurements, this approach effectively links static well data to dynamic reservoir properties, providing a robust framework for reducing geological uncertainty.
I. Zahmatkesh, Samaneh Barbari, A. Heidari et al.· Acta Geophysica· 0 citations
This study investigates the petrophysical properties of complex carbonate reservoirs in the Alan field, Chorjou step, Bukhara-Khiva oil and gas region, to support spatial distribution and reserve estimation. It aims to identify factors driving the "apparent saturation" effect and low-resistivity pay zones in the Jurass...
О. Karshiyev, Isroil Holmurodov, Oybek Bolibekov· E3S Web of Conferences· 0 citations
Permeability prediction in tight sandstone reservoirs remains challenging when using conventional methods, largely due to the weak correlation among rock physical properties caused by strong heterogeneity. Models relying on pore structure and connectivity, e.g., the Swanson-based model, the R10-based model (pore-thro...
Tian-Ding Liu, R. A, Kun Shi et al.· GOTECH· 0 citations
Accurate estimation of relative permeability is essential for dynamic reservoir simulation and development planning. This study presents an integrated approach that utilises Nuclear Magnetic Resonance (NMR) log data to derive relative permeability curves for different rock types in a gas-bearing reservoir. NMR-derive...
Anish Krishnapillai, V. Ramalingam· Journal of the Geological So...· 0 citations
A major obstacle in developing the vast tight carbonate reservoir of the Permian Maokou Formation in Penglai Gas Field is to resolve the discrepancy between gas-in-place estimates and recoverable volumes. There are mainly two challenges. First, there is a limited understanding of how pore geometry, rather than porosi...
Ai-Lin Zhao, Yue Wang, Qiang Lai et al.· GOTECH· 0 citations
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