Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Digital Rock"”.
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Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis
Digital Rock Analysis involves (1) 3D X-ray 𝜇CT imaging and processing, (2) identifying and segmenting the minerals, and (3) performing flow simulation to obtain upscalable petrophysical parameters. Limitations exist at each step, primarily: (1) the resolution and Field of View (FOV), (2) bias and …
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Digital Rock: Understanding the mechanism of Enhanced Oil Recovery (EOR) Core Floods
… After detecting ultra-slow flows through rocks, the research focused on the study of two-phase systems. A novel MRI sequence which enables the acquisition of 3D spatially-resolved propagators for the water and oil phase separately was developed and was tested in a bead pack and a carbonate …
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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 …
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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 …
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Force Chain Detection in Unconsolidated Sands
Understanding the geomechanical properties of rocks is vital in petroleum engineering. The compressibility of a formation often correlates directly with the productivity of that reservoir. It is a common practice to extract core samples from reservoirs for the purposes of obtaining the reservoir …
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Geometry-based finite volume methods for modelling transport on micro-CT images
Digital rock analysis has become increasingly popular for studying the microscopic structure of reservoir rocks. Direct numerical flow simulations are a common approach to compute petrophysical properties of rocks by modelling fluid flow on rock micro-Computed Tomography (CT) images. However, they …
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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 …
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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 …
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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 …
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Developing High Spatial Resolution MRI Methods for Characterisation of Porous Materials
… of, and fluid transport processes in porous rocks. A particular motivation of this work is to provide pore-scale, quantitative, spatially-resolved structural and flow information of rocks to aid the development of Digital Rock (DR) technology – a tool based on pore-scale imaging and modelling …
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Analytical Modeling of Bentonite Swelling and Numerical Reactive Transport Modeling in Nuclear Waste Disposal Systems
… transport modeling, ideal grain models and digital rock image models were simulated. Illite generation rate and effective diffusion coefficient were presented as a function of porosity (i.e., 0.3, 0.4, 0.46, and 0.55) and temperature (i.e., 40 °C, 60 °C, 100 °C, and 140 °C). The maximum …