Results 41 to 50 of about 41,161 (71)

Smooth Density Spatial Quantile Regression [PDF]

arXiv, 2019
We derive the properties and demonstrate the desirability of a model-based method for estimating the spatially-varying effects of covariates on the quantile function. By modeling the quantile function as a combination of I-spline basis functions and Pareto tail distributions, we allow for flexible parametric modeling of the extremes while preserving ...
arxiv  

A production planning benchmark for real-world refinery-petrochemical complexes [PDF]

arXiv
To achieve digital intelligence transformation and carbon neutrality, effective production planning is crucial for integrated refinery-petrochemical complexes. Modern refinery planning relies on advanced optimization techniques, whose development requires reproducible benchmark problems.
arxiv  

Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition [PDF]

arXiv
In the era of smart manufacturing and Industry 4.0, the refining industry is evolving towards large-scale integration and flexible production systems. In response to these new demands, this paper presents a novel optimization framework for plant-wide refinery planning, integrating model decomposition with deep reinforcement learning.
arxiv  

Well-to-Tank Carbon Intensity Variability of Fossil Marine Fuels: A Country-Level Assessment [PDF]

arXiv
The transition toward a low-carbon maritime transportation requires understanding lifecycle carbon intensity (CI) of marine fuels. While well-to-tank emissions significantly contribute to total greenhouse gas emissions, many studies lack global perspective in accounting for upstream operations, transportation, refining, and distribution.
arxiv  

Application of artificial neural networks and genetic algorithms for crude fractional distillation process modeling [PDF]

arXiv, 2016
This work presents the application of the artificial neural networks, trained and structurally optimized by genetic algorithms, for modeling of crude distillation process at PKN ORLEN S.A. refinery. Models for the main fractionator distillation column products were developed using historical data.
arxiv  

A comparative study of Iraqi crude oil taken from the Nasiriyah refinery with various local and global crude oils.

University of Thi-Qar Journal of Science, 2019

semanticscholar   +1 more source

From Risk to Readiness: VR-Based Safety Training for Industrial Hazards [PDF]

arXiv
This study explores the application of Virtual Reality (VR) as a tool for safety training in high-risk industrial settings, specifically focusing on the IPLOM refinery, Busalla (Italy). As industries increasingly adopt digital tools to enhance safety and operational efficiency, VR provides a risk-free, immersive environment for training operators in ...
arxiv  

Oil refinery and water pollution in the context of sustainable development: Developing and developed countries

, 2021
Ivan Radelyuk, K. Tussupova, J. Klemeš, K. Persson   +3 more
semanticscholar   +1 more source

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling [PDF]

arXiv
With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear constraints, which are challenging to be optimized by traditional optimization methods.
arxiv  

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection [PDF]

arXiv
Recent self-training techniques have shown notable improvements in unsupervised domain adaptation for 3D object detection (3D UDA). These techniques typically select pseudo labels, i.e., 3D boxes, to supervise models for the target domain. However, this selection process inevitably introduces unreliable 3D boxes, in which 3D points cannot be ...
arxiv