Results 51 to 60 of about 77,394 (227)

Glare, a GIS tool to reconstruct the 3D surface of palaeoglaciers [PDF]

open access: yes, 2016
Acknowledgements This research has been supported by the Leverhulme Trust International Network Grant IN-2012-140. Processing and collecting of ground penetrating data in Forgefonna was part of Elend Førre's master's project that was completed in 2009 at
Bakke, Jostein   +9 more
core   +4 more sources

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

open access: yesDeep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera   +2 more
wiley   +1 more source

Application of a semivariogram based on a deep neural network to Ordinary Kriging interpolation of elevation data.

open access: yesPLoS ONE, 2022
The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li   +3 more
doaj   +1 more source

A geostatistical model based on Brownian motion to Krige regions in R2 with irregular boundaries and holes [PDF]

open access: yes, 2019
Master's Project (M.S.) University of Alaska Fairbanks, 2019Kriging is a geostatistical interpolation method that produces predictions and prediction intervals.
Bernard, Jordy
core  

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

open access: yesDeep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza   +3 more
wiley   +1 more source

Grade estimation of Zu2 Jajarm deposit by considering imprecise variogram model parameters based on the extension principle [PDF]

open access: yesInternational Journal of Mining and Geo-Engineering, 2018
Nowadays, kriging has been accepted as the most common method of grade estimation in mineral resource evaluation stage. Access to the crisp assay data and a variogram model are the necessary means for the utilization of this method. Since fitting a crisp
Saeed Soltani   +2 more
doaj   +1 more source

Numerical investigation on the influence of mesoscopic deformation on contact area and hydraulic aperture to fracture seepage

open access: yesDeep Underground Science and Engineering, EarlyView.
Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopic‐scale rough ...
Chenghao Han   +5 more
wiley   +1 more source

On the Performance of Neural Network Residual Kriging in Radio Environment Mapping

open access: yesIEEE Access, 2019
This paper addresses the research question: can feedforward neural network (FFNN)-based path loss modeling improve the accuracy of Kriging? Radio propagation factors, which consist of path loss and shadowing, can accurately be obtained via crowdsourcing ...
Koya Sato, Kei Inage, Takeo Fujii
doaj   +1 more source

Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim [PDF]

open access: yes, 2009
Large scale, multidisciplinary, engineering designs are always difficult due to the complexity and dimensionality of these problems. Direct coupling between the analysis codes and the optimization routines can be prohibitively time consuming due to the ...
Deshpande, S.   +4 more
core   +3 more sources

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño   +6 more
wiley   +1 more source

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