[HTML][HTML] A comparative analysis of super-resolution techniques for enhancing micro-CT images of carbonate rocks

R Soltanmohammadi, SA Faroughi - Applied Computing and Geosciences, 2023 - Elsevier
High-resolution digital rock micro-CT images captured from a wide field of view are essential
for various geosystem engineering and geoscience applications. However, the resolution of …

Integrating μCT imaging of core plugs and transfer learning for automated reservoir rock characterization and tomofacies identification

R Kadyrov, E Statsenko, TH Nguyen - Marine and Petroleum Geology, 2024 - Elsevier
Traditional methods of core characterization are time-consuming and require the
considerable effort of a large number of experts. At the same time, it is quite difficult to readily …

Investigating the causes of permeability anisotropy in heterogeneous conglomeratic sandstone using multiscale digital rock

P Chi, J Sun, W Yan, X Luo, P Feng - Geophysics, 2024 - library.seg.org
Heterogeneous conglomeratic sandstone exhibits anisotropic physical properties, rendering
a comprehensive analysis of its physical processes challenging with experimental …

[HTML][HTML] Super-resolution enhancement and segmentation for digital rock based on multi-task joint deep neural network

Y Wang, R Qin, D Wei, X Li, P Wang, X Ye - Geoenergy Science and …, 2024 - Elsevier
Reliable segmentation of pores and minerals from high-resolution (HR) digital rock data is
the fundamental prerequisite for accurately characterizing the digital rock's physical …

[PDF][PDF] Multiple Cubes Growth Algorithms for Simple Representative Elementary Volume Determination on 3D Binary Images

RI Kadyrov - Sci. Vis., 2024 - sv-journal.org
Porosity analysis is fundamental for understanding various material properties and transport
phenomena in scientific and engineering disciplines. This study delves into the challenging …

Prediction of reservoir compressibility using subsurface cores, well logs, and seismic data by neural network

J Vali, F Haji Zadeh - Geopersia, 2024 - geopersia.ut.ac.ir
This study predicted the three-dimensional pore volume compressibility of carbonate Sarvak
Formation from the Bangestan group. Primary data of the model were petrophysical …

[PDF][PDF] Modelo de super resolução para melhorar a qualidade de imagens de arenito utilizando transfer learning

VR Rodrigues, PAM e Bomfim, L de Castro, Y Fazeli… - researchgate.net
A obtenção de imagens subterrâneas de alta qualidade é crucial para otimizar a extração
de recursos na indústria de petróleo e gás, mas permanece desafiadora devido a restrições …