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Ditemukan 8026 dari pencarian Anda melalui kata kunci:
Hal. Awal Sebelumnya 201 202 203 204 205 Berikutnya Hal. Akhir
cover
Computational fluid dynamics in carbonate rock wormholes using magnetic reson…
Komentar Bagikan

Computational fluid dynamics (CFD) is an essential tool with growing applications in many fields. In petrophysics, it is common to use computed tomography in those simulations, but in medicine, magnetic resonance imaging (MRI) is also being used as a basis for structural information. Wormholes are high-permeability structures created by the acidification of carbonate reservoirs and can impact r…

Edisi
Vol.23, September 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
6 hlm PDF, 1.653 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Advancing geological image segmentation: Deep learning approaches for rock ty…
Komentar Bagikan
Amit Kumar GuptaPriya MathurFarhan ShethCarlos M. Travieso-GonzalezSandeep Chaurasia

This study aims to tackle the obstacles linked with geological image segmentation by employing sophisticated deep learning techniques. Geological formations, characterized by diverse forms, sizes, textures, and colors, present a complex landscape for traditional image processing techniques. Drawing inspiration from recent advancements in image segmentation, particularly in medical imaging and o…

Edisi
Vol.23, September 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
16 hlm PDF, 17.044 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
A supervised machine learning procedure for EPMA classification and plotting …
Komentar Bagikan
R. CossioS. GhignoneA. BorghiA. CornoG. Vaggelli

An analytical method to automatically characterize rock samples for geological or petrological purposes is here proposed, by applying machine learning approach (ML) as a protocol for saving experimental times and costs. Proper machine learning algorithms, applied to automatically acquired microanalytical data (i.e., Electron Probe Micro Analysis, EPMA), carried out with a SEM-EDS microprobe on…

Edisi
Vol.23, September 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 7.096 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
A new approach to dust source mapping using visual interpretation and object-…
Komentar Bagikan
Ali Darvishi BolooraniNastaran NasiriMasoud SoleimaniRamin PapiFatemeh AmiriNajmeh Neysani SamanyAzher Ibrahim Al-TaeiSaham MirzaeiAli Al-Hemoud

The emission of dust particles, mainly from arid and semi-arid lands, as a result of climate change and human activities, is known to be a global issue. Identifying dust emission sources is the first key step in dealing with the hazardous consequences of this rising phenomenon. This study is an attempt to address one of the major challenges in mapping dust emission sources. Accordingly, an inno…

Edisi
Vol.23, September 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 13.165 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Single image multi-scale enhancement for rock Micro-CT super-resolution using…
Komentar Bagikan
Liqun ShanChengqian LiuYanchang LiuYazhou TuSai Venkatesh ChilukotiXiali Hei

Micro-CT, also known as X-ray micro-computed tomography, has emerged as the primary instrument for pore-scale properties study in geological materials. Several studies have used deep learning to achieve super-resolution reconstruction in order to balance the trade-off between resolution of CT images and field of view. Nevertheless, most existing methods only work with single-scale CT scans, ign…

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 5.431 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Machine learning technique in the north zagros earthquake prediction
Komentar Bagikan
Salma OmmiMohammad Hashemi

Studying the changes in seismicity, and the potential of the occurrences of large earthquakes in a seismic zone is not only extremely important from the aspect of seismological research, but it is additionally significant in the decisions of crisis management. Since, nowadays Machine learning techniques have proven the high ability for analyzing information, and discovering the relations among …

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 2.915 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Knowledge-based query system for the critical minerals
Komentar Bagikan
Armita DavarpanahHassan A. BabaieW. Crawford Elliott

Critical minerals are increasingly used in advanced, modern technologies. Exploration for these minerals require efficient mechanisms to search for the latest geological knowledge about the petrogenesis and spatial distribution of these essential resources. Although the current text-based deposit classification schemes help geoscientists to understand how and where these critical minerals form,…

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
12 hlm PDF, 9.763 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Geosteering based on resistivity data and evolutionary optimization algorithm
Komentar Bagikan
Maksimilian PavlovGeorgy PeshkovKlemens KatterbauerAbdallah Alshehri

Currently, the oil and gas industry faces numerous challenges in addressing geosteering issues in horizontal drilling. To optimize the extraction of hydrocarbon resources and to avoid penetration in aquifers, industry experts frequently modify the drilling trajectory using real-time measurements. This approach involves quantifying subsurface uncertainties in real-time, enhancing operational dec…

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
14 hlm PDF, 7.226 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
GeoCoDA: Recognizing and validating structural processes in geochemical data.…
Komentar Bagikan
Michael GreenacreEric GrunskyBruce Kjarsgaard

Geochemical data are compositional in nature and are subject to the problems typically associated with data that are restricted to the real non-negative number space with constant-sum constraint, that is, the simplex. Geochemistry can be considered a proxy for mineralogy, comprised of atomically ordered structures that define the placement and abundance of elements in the mineral lattice struct…

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
15 hlm PDF, 1.985 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Fracture density reconstruction using direct sampling multiple-point statisti…
Komentar Bagikan
Philippe RenardJulien StraubhaarAna Paula Burgoa

The aim of this work is to present a methodology for the reconstruction of missing fracture density within highly fractured intervals, which can represent preferential fluid flow pathways. The lack of record can be very common due to the intense presence of fractures, dissolution processes, or data acquisition issues. The superposition of numerous fractures makes the definition of fracture surf…

Edisi
Vol.22, June 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 5.089 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
Hal. Awal Sebelumnya 201 202 203 204 205 Berikutnya Hal. Akhir
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