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Ditemukan 3 dari pencarian Anda melalui kata kunci: subject="Reservoir rock"
cover
Reconstruction of reservoir rock using attention-based convolutional recurren…
Komentar Bagikan
Indrajeet KumarAnugrah Singh

The digital reconstruction of reservoir rock or porous media is important as it enables us to visualize and explore their real internal structures. The reservoir rocks (such as sandstone and carbonate) contain both spatial and temporal characteristics, which pose a big challenge in their characterization through routine core analysis or x-ray microcomputer tomography. While x-ray micro-computed…

Edisi
Vol.24, December 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
18 hlm PDF, 14.609 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
cover
Enhancing reservoir porosity prediction from acoustic impedance and lithofaci…
Komentar Bagikan
Munezero NtibahananaMoïse LuembaKeto Tondozi

Inferring underground porosity and evaluating its spatial distribution is of great significance in a wide range of Earth sciences and engineering, including hydrocarbon reservoir characterization and geothermal energy exploitation. Popular methods are largely based on the analysis of lithological cores, well logs, and seismic inversion. These methods are reliable, but they are still time-consum…

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 7.361 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
cover
A plugin for computing the pore/grain network tortuosity of a porous medium f…
Komentar Bagikan
Waldir L. RoqueRichelieu R.A. Costa

Tortuosity is an important geometrical parameter of the pore or grain network in a porous medium. Here we present and discuss an implementation of a plugin to estimate the pore/grain network tortuosity of a porous medium sample. The tortuosity is estimated according to the geometric reconstruction algorithm that can be applied to 2D or 3D μCT image samples. To illustrate the tortuosity plugin …

Edisi
Vol.5, March 2020
ISBN/ISSN
2590-1974
Deskripsi Fisik
14 hlm PDF, 6.599 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136