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An investigation on prevalent strategies for XFEM-based numerical modeling of crack growth in porous media.
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- Frontiers of Structural & Civil Engineering, 2021, v. 15, n. 4, p. 914, doi. 10.1007/s11709-021-0750-8
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- Article
A Hierarchical Sampling for Capturing Permeability Trend in Rock Physics.
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- Transport in Porous Media, 2017, v. 116, n. 3, p. 1057, doi. 10.1007/s11242-016-0812-x
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- Article
Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation.
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- Acta Geophysica, 2024, v. 72, n. 2, p. 861, doi. 10.1007/s11600-023-01149-7
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- Article
Automated diffraction delineation using an apex-shifted Radon transform.
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- Journal of Geophysics & Engineering, 2015, v. 12, n. 2, p. 1, doi. 10.1088/1742-2132/12/2/199
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- Article
Application of probabilistic facies prediction and estimation of rock physics parameters in a carbonate reservoir from Iran.
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- Journal of Geophysics & Engineering, 2013, v. 10, n. 1, p. 1, doi. 10.1088/1742-2132/10/1/015008
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- Article
3D multi‐fractal analysis of porous media using 3D digital images: considerations for heterogeneity evaluation.
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- Geophysical Prospecting, 2019, v. 67, n. 4, p. 1082, doi. 10.1111/1365-2478.12681
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- Article
Application of alternative digital rock physics methods in a real case study: a challenge between clean and cemented samples.
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- Geophysical Prospecting, 2018, v. 66, n. 4, p. 767, doi. 10.1111/1365-2478.12611
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- Article
Seminonlinear spectral unmixing using a neural network-based forward modeling.
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- Journal of Applied Remote Sensing, 2016, v. 10, n. 3, p. 1, doi. 10.1117/1.jrs.10.036006
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- Article
Estimation of P- and S-wave impedances using Bayesian inversion and adaptive neuro-fuzzy inference system from a carbonate reservoir in Iran.
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- Neural Computing & Applications, 2018, v. 29, n. 11, p. 1059, doi. 10.1007/s00521-016-2636-6
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- Article
Prediction of porosity and water saturation using pre-stack seismic attributes: a comparison of Bayesian inversion and computational intelligence methods.
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- Computational Geosciences, 2016, v. 20, n. 5, p. 1075, doi. 10.1007/s10596-016-9577-0
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- Article
Single-Station Coda Wave Interferometry: A Feasibility Study Using Machine Learning.
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- Materials (1996-1944), 2021, v. 14, n. 13, p. 3451, doi. 10.3390/ma14133451
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- Article