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Showing 1 to 5 of 5 for “"digital rock physics"”.

  1. Two-Phase Flow at the Pore-Scale Using the Volume of Fluid Method

    The aim of this thesis is to use digital rock physics for understanding flow through porous media. Pore-scale simulations were conducted using the Finite Volume method to solve the Navier-Stokes equations, and the Volume of Fluid method for capturing interface. A workflow is provided, in which …

    calgary Repository record for Two-Phase Flow at the Pore-Scale Using the Volume of Fluid Method (opens in a new tab)

  2. Simulating complex conductivity in carbonate rocks: using digital carbonate rocks and comparison to laboratory measurements

    Digital rock physics involves the modern microscopic imaging of geomaterials, digitalization of the microstructure, and numerical simulation of physical properties of rocks. This physics-based approach can give important insight into understanding properties of reservoir rocks, and help reveal the …

    ku Repository record for Simulating complex conductivity in carbonate rocks: using digital carbonate rocks and comparison to laboratory measurements (opens in a new tab)

  3. Multi-GPU Based Lattice Boltzmann Flow Simulations in Porous Media

    Characterization of rock and fluid properties is vital in producing oil and gas from reservoirs in an economically viable fashion. Digital rock physics for the estimation of petrophysical properties has become a powerful tool that greatly compliments lab experiments by combining advanced imaging …

    houston Repository record for Multi-GPU Based Lattice Boltzmann Flow Simulations in Porous Media (opens in a new tab)

  4. Computer vision and texture analysis for characterization of X-ray images of rocks

    … tomography (micro-CT) has provided us digital twins of physical rocks. Digital twins are raw grayscale micro-CT images that contain information regarding rock-microstructure. These raw micro-CT images are then transformed into their segmented counterparts, which attempt to identify …

    unsw Repository record for Computer vision and texture analysis for characterization of X-ray images of rocks (opens in a new tab)

  5. Application of Machine Learning and Deep Learning Methods in Geological Carbon Sequestration Across Multiple Spatial Scales

    … studies at pore and reservoir scales, including digital rock physics (DRP) and the well-logging data interpretation and analysis. DRP provides cost-saving and practical core analysis methods, combining high-resolution imaging techniques, such as the three-dimensional (3D) X-ray computed …

    vt Repository record for Application of Machine Learning and Deep Learning Methods in Geological Carbon Sequestration Across Multiple Spatial Scales (opens in a new tab)