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Applications of digital core analysis and hydraulic flow units in petrophysical characterization
Conventional petrophysical characterizations are often based on direct laboratory
measurements. Although they provide accurate results, such measurements are time …
measurements. Although they provide accurate results, such measurements are time …
When petrophysics meets big data: What can machine do?
Petrophysics is a pivotal discipline that bridges engineering and geosciences for reservoir
characterization and development. New sensor technologies have enabled real-time …
characterization and development. New sensor technologies have enabled real-time …
An improved model for permeability estimation in low permeable porous media based on fractal geometry and modified Hagen-Poiseuille flow
X Chen, G Yao - Fuel, 2017 - Elsevier
Permeability is a crucial macroscopic parameter in characterizing fluid flow and mass
transfer behavior in porous media. A great theoretical basis for permeability estimation has …
transfer behavior in porous media. A great theoretical basis for permeability estimation has …
An intelligent system for mineral identification in thin sections based on a cascade approach
In this study, an intelligent system for mineral identification in thin sections is proposed
based on RGB and HSI color spaces and texture features in plane and cross polarized light …
based on RGB and HSI color spaces and texture features in plane and cross polarized light …
Application of machine learning techniques in mineral classification for scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS) images
Mineral classification and segmentation is time-consuming in geological image processing.
The development of machine learning methods shows promise as a technique in replacing …
The development of machine learning methods shows promise as a technique in replacing …
Utilising convolutional neural networks to perform fast automated modal mineralogy analysis for thin-section optical microscopy
Thin section microscopy has been historically used for modal mineralogy in exploration and
for monitoring plant performance. Despite this, the technique relies on visual detection from …
for monitoring plant performance. Despite this, the technique relies on visual detection from …
Fractal and multifractal analysis of different hydraulic flow units based on micro-CT images
Pore structure is one of the key factors affecting the transport behavior in porous media,
which is mainly determined by petrophysical facies. To accurately characterize the diversity …
which is mainly determined by petrophysical facies. To accurately characterize the diversity …
Automatic mineral identification using color tracking
Optical properties of crystals are one of the most powerful features for mineral identification.
In this study, a novel automated color-based mineral identification (MI) procedure is …
In this study, a novel automated color-based mineral identification (MI) procedure is …
The effectiveness of different thresholding techniques in segmenting micro CT images of porous carbonates to estimate porosity
The effectiveness of various thresholding techniques in segmenting micro X-ray computed
tomography (XCT) images of porous carbonates has been investigated using experimental …
tomography (XCT) images of porous carbonates has been investigated using experimental …
Deep neural networks for automatic grain-matrix segmentation in plane and cross-polarized sandstone photomicrographs
Grain segmentation of sandstone that is partitioning the grain from its surrounding
matrix/cement in the thin section is the primary step for computer-aided mineral identification …
matrix/cement in the thin section is the primary step for computer-aided mineral identification …