Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Da Wang, Ying"'
Autor:
Tang, Kunning, Bo, Zhenkai, Li, Zhe, Da Wang, Ying, McClure, James, Su, Hongli, Mostaghimi, Peyman, Armstrong, Ryan
Groundwater pollution poses a significant threat to environmental sustainability during urbanization. Existing remediation methods like pump-and-treat and electrokinetics have limited ion transport control. This study introduces a coupled advection-d
Externí odkaz:
http://arxiv.org/abs/2308.04668
Autor:
Tang, Kunning, Li, Zhe, Da Wang, Ying, McClure, James, Su, Hongli, Mostaghimi, Peyman, Armstrong, Ryan
Electrokinetic in-situ recovery is an alternative to conventional mining, relying on the application of an electric potential to enhance the subsurface flow of ions. Understanding the pore-scale flow and ion transport under electric potential is esse
Externí odkaz:
http://arxiv.org/abs/2303.17150
Autor:
Wang, Tingting, Da Wang, Ying, Sun, Chenhao, McClure, James E., Mostaghimi, Peyman, Armstrong, Ryan T.
Publikováno v:
In Geoenergy Science and Engineering September 2024 240
Publikováno v:
Advances in Water Resources, 2020, 103787
DeePore is a deep learning workflow for rapid estimation of a wide range of porous material properties based on the binarized micro-tomography images. By combining naturally occurring porous textures we generated 17700 semi-real 3-D micro-structures
Externí odkaz:
http://arxiv.org/abs/2005.03759
Simulation of fluid flow in porous media has many applications, from the micro-scale (cell membranes, filters, rocks) to macro-scale (groundwater, hydrocarbon reservoirs, and geothermal) and beyond. Direct simulation of flow in porous media requires
Externí odkaz:
http://arxiv.org/abs/2004.11675
Segmentation of 3D micro-Computed Tomographic uCT) images of rock samples is essential for further Digital Rock Physics (DRP) analysis, however, conventional methods such as thresholding, watershed segmentation, and converging active contours are sus
Externí odkaz:
http://arxiv.org/abs/2002.05322
Autor:
Higgs, Scott, Da Wang, Ying, Sun, Chenhao, Ennis-King, Jonathan, Jackson, Samuel J., Armstrong, Ryan T., Mostaghimi, Peyman
Publikováno v:
In Journal of Energy Storage 15 December 2023 73 Part C
Digital Rock Imaging is constrained by detector hardware, and a trade-off between the image field of view (FOV) and the image resolution must be made. This can be compensated for with super resolution (SR) techniques that take a wide FOV, low resolut
Externí odkaz:
http://arxiv.org/abs/1907.07131
Single Image Super Resolution (SISR) techniques based on Super Resolution Convolutional Neural Networks (SRCNN) are applied to micro-computed tomography ({\mu}CT) images of sandstone and carbonate rocks. Digital rock imaging is limited by the capabil
Externí odkaz:
http://arxiv.org/abs/1904.07470
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