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Digital Pore Solutions brings the power of advanced computational modeling and high-performance computing (HPC) to Special Core Analysis (SCAL) predictions. Our innovative tools simulate and predict complex petrophysical properties, such as relative permeability, capillary pressure, and wettability, from digital rock models. By leveraging high-performance computing and data-driven algorithms, we provide fast, reliable, and cost-effective SCAL insights without the need for extensive physical experiments. With DPS, you can enhance your reservoir characterization, streamline decision-making, and gain a deeper understanding of subsurface behavior for optimized resource extraction.
We create detailed digital representations of core samples to simulate complex petrophysical properties like relative permeability, capillary pressure, and wettability.
Using high-performance computing and advanced algorithms, we deliver fast, accurate SCAL predictions—eliminating the need for time-consuming physical experiments.
Visualization of fluid occupancy within the Berea pore network recorded at four water saturation values during the quasi-static and dynamic primary drainage simulations. Oil and water are shown as solid red and transparent blue, respectively.
3D scatter plot and a fitted surface illustrating the relationship between contact angle, capillary number, and remaining oil saturation for various viscosity ratios in a sandstone.
2D heatmap of remaining oil saturation in a sandstone pore network plotted against logarithm of viscosity ratio and capillary number at contact angle of 160 degrees.
Comparison of the predicated water and oil relative permeabilities obtained during waterflooding simulations against the experimental data for two water-wet sandstones.