Results 141 to 150 of about 97,170 (314)
Energy Science &Engineering, EarlyView.Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley +1 more source
European Energy Security: What Should It Mean? What to Do? ESF Working Paper, No. 23, 30 October 2006 [PDF]
, 2006 [From the Introduction]. • Is energy a strategic good? If it is, to what extent does it make sense to deny the extraction of political leverage from energy policy? In criticising Russian energy policy, are we not protesting too much against the fact that
Egenhofer, Christian, +4 more
core
Mixing Behavior of Natural Gas and Hydrogen in a High‐Efficiency Vane (HEV) Static Mixer
Energy Science &Engineering, EarlyView.Static mixers play a crucial role in the safe transport of hydrogen‐blended natural gas. Computational fluid dynamics (CFD) was employed to investigate the effects of structural parameters of the HEV static mixer on the mixing behavior and homogeneity of natural gas and hydrogen. The modeling approach was well validated against experimental data.
Xiang Zhou +5 more
wiley +1 more source
Keystone XL Pipeline Project: Key Issues [PDF]
, 2012 [Excerpt] This report describes the Keystone XL Project as it is proposed in the 2012 Presidential Permit application and the process that the State Department is obligated to complete to issue or deny that application. To the extent that they may affect
Luther, Linda +3 more
core +5 more sources
FlexMat, EarlyView.Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
Greenhouse Gases: Science and Technology, EarlyView.ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source
Cost Analysis Insights for Offshore CCS Hubs: A Case Study of the Santos Basin, Brazil
Greenhouse Gases: Science and Technology, EarlyView.ABSTRACT The reuse of decommissioned offshore platforms for geological carbon storage offers a cost‐effective and technically feasible strategy to reduce greenhouse gas emissions in emerging economies. This study presents a comprehensive techno‐economic assessment of offshore carbon capture and storage (CCS) hubs in Brazil, with a focus on the Merluza ...
Norah A. Ordoñez +4 more
wiley +1 more source
Talent Management in SMEs: Unraveling the Role of Contextual Factors
Human Resource Development Quarterly, EarlyView.ABSTRACT Employing a multiple case study analysis, this paper explores the contextual factors—internal, external, and relational—that affect small and medium‐sized enterprises (SMEs) in designing their approaches to talent management (TM). Results underscore the significance of two prominent internal variables—namely, organizational size and ownership ...
Franca Cantoni +2 more
wiley +1 more source
Graphene Reinforced Composites as Protective Coatings for Oil and Gas Pipelines. [PDF]
Nanomaterials (Basel), 2018 Wang X, Qi X, Lin Z, Battocchi D.
europepmc +1 more source