Results 51 to 60 of about 720 (191)
Recovery Factor of Pure Helium Injection in Depleted Gas Reservoirs and Its Influencing Factors
Energy Science &Engineering, EarlyView.This study employs compositional numerical simulation to systematically investigate the effects of injection rate, production rate, storage duration, and injection‐production scheme on pure helium recovery in depleted gas reservoirs. Low injection rates reduce viscous fingering while high production rates maximize near‐wellbore helium extraction ...
Shijie Zhu +6 more
wiley +1 more source
MathematicsThis paper introduces a novel numerical technique for solving fractional stochastic differential equations with neutral delays. The method employs a stepwise collocation scheme with Jacobi poly-fractonomials to consider unknown stochastic processes.
Afshin Babaei +4 more
doaj +1 more source
Zhongguo Jianchuan Yanjiu, 2023 ObjectivesThe key to uncertainty design optimization (UDO) is uncertainty quantification (UQ), but the traditionally used Monte Carlo (MC) method can be time-consuming and computationally expensive.
Xiao WEI, Heng LI, Chenran HUANG
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Adaptive Stochastic Collocation on Sparse Grids [PDF]
PAMM, 2012 AbstractWe consider Partial Differential Equations (PDEs) with random parameters, solved by adaptive stochastic collocation. Our research studies common error indicators compared to adjoint based error estimates extended to the stochastic framework. We show that such estimates are able to detect the true error very accurately and suggest to replace the
openaire +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
A mixed-method to numerical simulation of variable order stochastic advection diffusion equations
Alexandria Engineering JournalThe study of stochastic problems is very important and there is an increasing demand for investigating the behavior of a number of sophisticated dynamical systems in different areas of science as well as in engineering and finance.
H. Jafari +3 more
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Robust Trajectory Optimization of a Ski Jumper for Uncertainty Influence and Safety Quantification
Proceedings, 2018 This paper deals with the development of a robust optimal control framework for a previously developed multi-body ski jumper simulation model by the authors.
Patrick Piprek, Florian Holzapfel
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Metals, 2020 Due to the uncertainties originating from the underlying physical model, material properties and the measurement data in fatigue crack growth (FCG) processing, the prediction of fatigue crack growth lifetime is still challenging.
Hesheng Tang, Xueyuan Guo, Songtao Xue
doaj +1 more source
Should multinationals care about development? Rethinking global strategy in an unequal world
Global Strategy Journal, EarlyView.Abstract Research Summary While multinational corporations (MNCs) can profoundly shape global development trajectories, global strategy research has largely treated development as peripheral to core strategic concerns. This Perspective paper examines the contested relationship between global strategy and development, arguing that MNCs are neither ...
Marcus M. Larsen +2 more
wiley +1 more source
A Multilevel Stochastic Collocation Method for Schrödinger Equations with a Random Potential
SIAM/ASA Journal on Uncertainty Quantification, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tobias Jahnke, Benny Stein
openaire +3 more sources