Results 11 to 20 of about 3,905,794 (341)

A New Multi-Scale Method to Evaluate the Porosity and MICP Curve for Digital Rock of Complex Reservoir

open access: yesEnergies, 2023
The evaluation of rock porosity and the mercury injection capillary pressure (MICP) curve is fundamental for oil and gas exploration and production. Digital rock (DR) technology, incorporating 3D micro-CT imaging and numerical methods, has been widely ...
Ting Xiong   +7 more
doaj   +2 more sources

A study of transfer learning in digital rock properties measurement

open access: yesMachine Learning: Science and Technology, 2023
The measurement of physical parameters of porous rock, which constitute reservoirs, is an essential part of hydrocarbon exploration. Typically, the measurement of these physical parameters is carried out through core analysis in a laboratory, which ...
M I K Haq, I N Yulita, I A Dharmawan
doaj   +2 more sources

Digital Rock Analysis on the Influence of Coarse Micro-Fractures on Petrophysical Properties in Tight Sandstone Reservoirs

open access: yesApplied Sciences, 2023
Tight sandstone reservoirs, as typical unconventional reservoirs, have attracted more and more attention worldwide. Compared to conventional reservoirs, the complex microscopic pore structures and micro-fractures of the tight reservoirs are developed ...
Lei Liu   +4 more
doaj   +2 more sources

3D Carbonate Digital Rock Reconstruction by Self-Attention Network and GAN Structure

open access: yesApplied Sciences, 2023
Amidst the rapid advancements in digital technology, the pursuit of simulating geologic and mineralogic samples in a digital domain has garnered considerable attention, becoming a linchpin in modern earth science and petrological research.
Bin Wang, Jiahao Wang, Ye Liu
doaj   +2 more sources

Reconstructing high fidelity digital rock images using deep convolutional neural networks. [PDF]

open access: yesSci Rep, 2022
Imaging methods have broad applications in geosciences. Scanning electron microscopy (SEM) and micro-CT scanning have been applied for studying various geological problems.
Bizhani M, Ardakani OH, Little E.
europepmc   +2 more sources

Machine Learning Assisted Prediction of Porosity and Related Properties Using Digital Rock Images. [PDF]

open access: yesACS Omega
Accurately estimating reservoir rock properties is paramount for modeling the storage and flow of fluids (hydrocarbon, carbon dioxide, and groundwater) in porous media.
Khan MI, Khanal A.
europepmc   +2 more sources

Simulation and Validation of Porosity and Permeability of Synthetic and Real Rock Models Using Three-Dimensional Printing and Digital Rock Physics. [PDF]

open access: yesACS Omega, 2021
A standard digital rock physics workflow aims to simulate petrophysical properties of rock samples using few millimeter size subsets scanned with X-ray microtomography at a high resolution of around 1 μm.
Ibrahim ER   +3 more
europepmc   +2 more sources

Advances in the application of deep learning methods to digital rock technology

open access: yesAdvances in Geo-Energy Research, 2023
: Digital rock technology is becoming essential in reservoir engineering and petrophysics. Three-dimensional digital rock reconstruction, image resolution enhancement, image segmentation, and rock parameters prediction are all crucial steps in enabling ...
Xiaobin Li   +4 more
semanticscholar   +1 more source

Digital Rock Mass Analysis for the Evaluation of Rockfall Magnitude at Poorly Accessible Cliffs

open access: yesRemote Sensing, 2023
The analysis of a digital rock cliff model, built by airborne photogrammetric data and infrared thermal images, is herein presented as an alternative tool for rock mass study in restricted and poorly accessible areas.
D. Caliò, S. Mineo, G. Pappalardo
semanticscholar   +1 more source

Upscaling Permeability Using Multiscale X‐Ray‐CT Images With Digital Rock Modeling and Deep Learning Techniques

open access: yesWater Resources Research, 2023
This study presents a workflow to predict the upscaled absolute permeability of the rock core direct from CT images whose resolution is not sufficient to allow direct pore‐scale permeability computation. This workflow exploits the deep learning technique
Fei Jiang   +9 more
semanticscholar   +1 more source

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