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Ditemukan 147 dari pencarian Anda melalui kata kunci: subject="AI"
Hal. Awal Sebelumnya 6 7 8 9 10 Berikutnya Hal. Akhir
cover
Python programs to apply regularized derivatives in the magnetic tilt deriva…
Komentar Bagikan
Janaína Anjos MeloCarlos Alberto MendonçaYara Regina Marangoni

The Tikhonov regularization parameter is a key parameter controlling the smoothness degree and oscillations of a regularized unknown solution. Usual methods to determine a proper parameter (L-curve or the discrepancy principle, for example) are not readily applicable to the evaluation of regularized derivatives, since this formulation does not make explicit a set of model parameters that are ne…

Edisi
Vol.19, September 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
10 hlm PDF, 10.063 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Geoweaver_cwl: Transforming geoweaver AI workflows to common workflow languag…
Komentar Bagikan
Amruta KaleZiheng SunChao Fan Xiaogang Ma

Recently, workflow management platforms are gaining more attention in the artificial intelligence (AI) community. Traditionally, researchers self-managed their workflows in a manual and tedious way that heavily relies on their memory. Due to the complexity and unpredictability of AI models, they often struggled to track and manage all the data, steps, and history of the workflow. AI workflows a…

Edisi
Vol.19, September 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
7 hlm PDF, 3.389 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
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
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
Adaptive Proxy-based Robust Production Optimization with Multilayer Perceptron
Komentar Bagikan
Cuthbert Shang Wui NgAshkan Jahanbani Ghahfarokhi

Machine learning (ML) has been a technique employed to build data-driven models that can map the relationship between the input and output data provided. ML-based data-driven models offer an alternative path to solving optimization problems, which are conventionally resolved by applying simulation models. Higher computational cost is induced if the simulation model is computationally intensive.…

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
15 hlm PDF, 8.103 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
A hybrid framework for modelling domains using quantitative covariates
Komentar Bagikan
Yerniyaz AbildinChaoshui XuPeter DowdAmir Adeli

Domains define the boundaries of mineralisation zones, within which the grade distribution of the target minerals can be quantified via an established mineral resource estimation procedure. Available domain modelling techniques include manual interpretation, implicit modelling and advanced geostatistical approaches. In mining applications, the most commonly used method is manual domaining, whic…

Edisi
Vol.16, December 2022
ISBN/ISSN
2590-1974
Deskripsi Fisik
21 hlm PDF, 26.736 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Comparison of interpretation uncertainty in spatial domains using portable x-…
Komentar Bagikan
Scott McManusAzizur RahmanJacqueline CoombesAna Horta

Spatial domains defining either geological models or mineral estimation envelopes are among the few components of the mining life cycle that are not quantitatively assessed to communicate uncertainty or error in mineral resource projects. Recent work has investigated the use of Bayesian approximation methods to assess interpretation uncertainty of the classification of drill hole intercepts to …

Edisi
Vol.12, December 2021
ISBN/ISSN
2590-1974
Deskripsi Fisik
11 hlm PDF, 4.250 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
An interactive sequential-decision benchmark from geosteering
Komentar Bagikan
Sergey AlyaevSofija IvanovaAndrew HolsaeterReidar Brumer BratvoldMorten Bendiksen

During drilling, to maximize future expected production of hydrocarbon resources, the experts commonly adjust the trajectory (geosteer) in response to new insights obtained through real-time measurements. Geosteering workflows are increasingly based on the quantification of subsurface uncertainties during real-time operations. As a consequence, operational decision-making is becoming both bette…

Edisi
Vol.12, December 2021
ISBN/ISSN
2590-1974
Deskripsi Fisik
11 hlm PDF, 4.709 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Probabilistic knowledge-based characterization of conceptual geological models
Komentar Bagikan
Júlio HoffimannSandro Rama FioriniBreno de CarvalhoAndres CodasCarlos RaoniBianca ZadroznyRogerio de PaulaOksana PopovaMaxim MityaevIrina ShishmanidiAnastasia GorelovaZoya Filippova

The construction of conceptual geological models is an essential task in petroleum exploration, especially during the early stages of investment, when evidence about the subsurface is limited. In this task, geoscientists recreate the most likely geological scenarios that led to potential accumulation of reserves in a target block, based on past experience, historical analogues, and interpreted …

Edisi
Vol.10, June 2021
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 2.837 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
Hal. Awal Sebelumnya 6 7 8 9 10 Berikutnya Hal. Akhir
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