Results 81 to 90 of about 917,096 (229)

From Empirical Models to Physics‐Informed Neural Networks: The Evolution of Oil Production Forecasting

open access: yesJournal of GeoEnergy, Volume 2026, Issue 1, 2026.
Production forecasting for oil and gas wells is a decisive element of field‐development planning because it directly guides recovery strategy design, production optimisation and risk management. Conventional methods, including empirical decline‐curve analysis (DCA) and full‐physics numerical simulation, are limited either by their inability to capture ...
Shitan Yin   +4 more
wiley   +1 more source

Accuracy Analysis of Precipitation Regionalization Methods Based on Spatial Interpolation Techniques in Zayandeh-Rud River Basin

open access: yesعلوم آب و خاک, 2019
In the present study, we used 27 precipitation average monthly data from synoptic, climatologic, rain-guage and evaporative stations located in Zayandeh-Rud river basin for the period of 1970-2014.
M. A. Amini   +4 more
doaj  

On a novel approach for optimizing composite materials panel using surrogate models [PDF]

open access: yes, 2011
This paper describes an optimization procedure to design thermoplastic composite panels under axial compressive load conditions. Minimum weight is the goal. The panel design is subject to buckling constraints.
Akcay-Perdahcioglu, D.   +3 more
core   +1 more source

Estimation of gradients from sparse data by universal kriging [PDF]

open access: yesWater Resources Research, 2004
The determination of a gradient, or directional derivative, of a spatial variable is a common problem in many Earth science applications. For hydraulic heads, for example, the gradient defines the direction of the groundwater flow and is used in solving groundwater flow and transport equations.
Eulogio Pardo‐Igúzquiza   +1 more
openaire   +1 more source

Reliability-based design optimization using kriging surrogates and subset simulation

open access: yes, 2011
The aim of the present paper is to develop a strategy for solving reliability-based design optimization (RBDO) problems that remains applicable when the performance models are expensive to evaluate.
Bourinet, J. -M.   +2 more
core   +3 more sources

Statistically Classified Marine Epifaunal Bioregions on the Southern Benguela Margin, South Africa

open access: yesEcology and Evolution, Volume 15, Issue 12, December 2025.
Marine bioregional maps underpin management and conservation planning. Data‐driven maps based on robust statistical analyses that include uncertainty are new to the marine realm as more data becomes available. The use of Regions of Common Profile models on epifauna data from the Southern Benguela margin distinguished five bioregions related to low ...
Donia Wozniak   +2 more
wiley   +1 more source

Meta-models for structural reliability and uncertainty quantification [PDF]

open access: yes, 2011
A meta-model (or a surrogate model) is the modern name for what was traditionally called a response surface. It is intended to mimic the behaviour of a computational model M (e.g.
Sudret, Bruno
core   +4 more sources

Assessing Stream Network‐Scale Variability of Streambed Sediment Median Grain Size (d50): Integrating Field Surveys and Geostatistical Modeling

open access: yesWater Resources Research, Volume 61, Issue 12, December 2025.
Abstract Understanding the spatial variation of streambed sediment median grain size (d50) is essential for understanding hydrological, geomorphological, and ecological processes, yet network‐scale patterns remain poorly characterized. Here we combined extensive field sampling (249 locations) with Digital Grain Size analysis and laboratory sieving to ...
Xiaobing Chen   +4 more
wiley   +1 more source

Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods

open access: yesJournal of Air Pollution and Health, 2020
Introduction: Estimating air pollution levels in areas with no measurements is a major concern in health-related studies. Therefore, the aim of this study was to investigate the amount of exposure to particulate matter below 2.5 μ (PM2.5) in the ...
Kazhal Masroor   +6 more
doaj   +1 more source

Estimating potential soil erosion for environmental services in a sugarcane growing area using multisource remote sensing data [PDF]

open access: yes, 2013
Characterization of landscapes is crucial in modelling potential soil erosion to ascertain environmental services that are provided by the main land use in the ecosystem. Remote sensing techniques have proved successful in characterization of landscapes.
Bégué, Agnès   +4 more
core  

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