PERPUSTAKAAN BIG

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Ditemukan 7872 dari pencarian Anda melalui kata kunci:
Hal. Awal Sebelumnya 81 82 83 84 85 Berikutnya Hal. Akhir
cover
A machine learning approach using legacy geophysical datasets to model Quater…
Komentar Bagikan
Jeffrey ObelczTrilby HillDavin J. WallaceBenjamin J. PhrampusJordan H. Graw

High-resolution subsurface marine mapping tools, including chirp and 3D seismic, enable the reconstruction of ancient landscapes that have been buried and subsequently submerged by marine transgression. However, the established methods for paleotopographic reconstruction require time consuming field and data interpretation efforts. Here we present a novel methodology using machine learning to e…

Edisi
Vol.19, September 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 11.978 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
3D hydrostratigraphic and hydraulic conductivity modelling using supervised m…
Komentar Bagikan
Tewodros TilahunJesse Korus

Accurately modeling highly heterogenous aquifers is one of the big challenges in hydrogeology. There is a pressing need to develop new methods that transform high-resolution data into hydrogeological parameters representative of such aquifers. We use random forest-based machine learning to predict the distribution of hydrostratigraphic units and hydraulic conductivity (K) at a regional scale. W…

Edisi
Vol.19, September 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
16 hlm PDF, 19.213 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Where are the outcrops? Automatic delineation of bedrock from sediments using…
Komentar Bagikan
Alexandra Jarna GanerødVegar BakkestuenMartina CaloviOla FredinJan Ketil Rød

The delineating of bedrock from sediment is one of the most important phases in the fundamental process of regional bedrock identification and mapping, and it is usually manually performed using high-resolution optical remote-sensing images or Light Detection and Ranging (LiDAR) data. This task, although straightforward, is time consuming and requires extensive and specialized labor. We contrib…

Edisi
Vol.18 June 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 10.364 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Towards a workflow to evaluate geological layering uncertainty on CO2 injecti…
Komentar Bagikan
Capucine LegentilJeanne PellerinMargaux RaguenelGuillaume Caumon

We propose a workflow for updating 3D geological meshed models to test different layering scenarios and to assess their impact on the simulation of injection. This workflow operates on a tetrahedral mesh that encodes rock unit information as well as rock physical properties. The alternative layering meshes are built by modifying the input mesh and inserting a new horizon defined by a scalar …

Edisi
Vol.18 June 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 4.443 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Rapid estimation of minimum depth-to-bedrock from lidar leveraging deep-learn…
Komentar Bagikan
William OdomDaniel Doctor

Previously glaciated landscapes often share similar surficial characteristics, including large areas of exposed bedrock, blankets of till deposits, and alluvium-floored valleys. These materials play significant roles in geologic and hydrologic resources, geohazards, and landscape evolution; however, the vast extents of many previously glaciated landscapes have rendered comprehensive, detailed f…

Edisi
Vol.18 June 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
11 hlm PDF, 9.277 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Generation of CT images from medical CT scans of carbonate rocks using a diff…
Komentar Bagikan
João P.P. SouzaGabriela F. MatheusMateus BassoGuilherme F. ChinelattoAlexandre C. Vidal

Carbonate rocks are known for their high heterogeneity and textural and compositional complexity. Evaluating their petrophysical properties is thus challenging, especially with limited information. One way to obtain an internal image of such rocks is to scan them with X-ray computed tomography scanners, revealing their internal structures. The problem with this approach is the trade-off between…

Edisi
Vol.18 June 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
11 hlm PDF, 4.920 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A ca…
Komentar Bagikan
Sofia BrissonFlorian WellmannNils ChudallaJan von HartenChristoph von Hagke

Geological modeling commonly results in a single prescribed geometric representation of the subsurface with no consideration of uncertainties. Accounting for uncertainties is of particular importance in the triangle zone at the leading edge of deformation of the foreland fold-thrust belt of the European Alps, the Subalpine Molasse. Here, interpretations of the complex structures are limited to …

Edisi
Vol.18 June 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
16 hlm PDF, 11.035 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Use of AI tools to understand and model surface-interaction based EOR processes
Komentar Bagikan
Tony ThomasPushpa SharmaDharmendra Kumar Gupta

Enhanced Oil Recovery (EOR) is as a key tertiary recovery strategy that aims at enhancing the oil recovery from the earth's subsurface of existing oilfields. One such EOR process that is dependent on multiple variables of complex surface interactions between the formation brine, injected brine, hydrocarbon and rock surface is different composition water flood. This specific EOR technique has be…

Edisi
Vol.17, March 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 3.900 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Rock type classification based on petrophysical, geochemical, and core imagin…
Komentar Bagikan
Negin HoushmandSebastian GoodFellowKamran EsmaeiliJuan Carlos Ordonez Calderon

Rock type classification is one of the most crucial steps of geological and geotechnical core logging. In conventional core logging, rock type classification is subjective and time-consuming. This study aims to automate rock type classification using Machine Learning (ML). About 35 m of core samples from five different rock types obtained from an open pit mine were logged using a Multi-Sensor C…

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 10.764 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Machine learning – An approach for consistent rock glacier mapping and inve…
Komentar Bagikan
Georg H. ErharterThomas WagnerGerfried WinklerThomas Marcher

Rock glaciers (RG) are landforms that occur in high latitudes or elevations and — in their active state — consist of a mixture of rock debris and ice. Despite serving as a form of groundwater storage, they are an indicator for the occurrence of (former) permafrost and therefore carry significance in the research for the ongoing climate change. For these reasons, the past years have shown ri…

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
12 hlm PDF, 13.829 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
Hal. Awal Sebelumnya 81 82 83 84 85 Berikutnya Hal. Akhir
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