On the Importance of Simulated Annealing Algorithms for Stochastic Reconstruction Constrained by Low-Order Microstructural Descriptors
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DOI: 10.1007/s11242-018-1008-3
Abstract: In the past two decades, simulated annealing has played an important role in stochastic reconstruction of porous media. In this study, we compare simulated annealing algorithms constrained by low-order microstructural descriptors and controlled by four… read more here.
Keywords: reconstruction; low order; stochastic reconstruction; constrained low ... See more keywords
Stochastic reconstruction of 3D porous media from 2D images using generative adversarial networks
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DOI: 10.1016/j.neucom.2019.12.040
Abstract: Abstract Micro computed tomography (CT) provides petrophysics laboratories with the ability to image three dimensional porous media at pore scale. However, evaluating flow properties requires the acquisition of a large number of representative images, which… read more here.
Keywords: reconstruction; generative adversarial; stochastic reconstruction; media images ... See more keywords