Results 191 to 200 of about 242,392 (312)

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Geophysical and multi-criteria decision methods for delineating groundwater potential in coastal terrains: a study from Port Sudan. [PDF]

Sci Rep
Mohammed MAA, Daoud AMA, Kazem MM, Mohammed SH, Szabó NP, Szűcs P.   +5 more
europepmc   +1 more source

In‐situ asphaltene capture with iron oxide nanoparticles in steam‐assisted gravity drainage (SAGD) for improved recovery and partial upgrading of bitumen

The Canadian Journal of Chemical Engineering, EarlyView.
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada, Saleh S. Baakeem, Mabkhot BinDahbag, M. Daniela Contreras‐Mateus, Jesus Botett, Afif Hethnawi, Nashaat N. Nassar   +6 more
wiley   +1 more source

Experimental methods in chemical engineering: Atomic absorption spectrometry—AAS

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Elements absorb electromagnetic radiation (light) of a specific wavelength in proportion to the number of atoms in its path. As the atoms absorb this light energy, electrons rise from the ground state to an excited state. In atomic absorption spectrometry (AAS), high temperatures produce clouds of atoms from the sample (atomization) and ...
Emily Cintia Tossi de A. Costa, Jildimara de Jesus Santana, Viviane de Oliveira Campos, Felipe Fernandes Barbosa, Gregory S. Patience   +4 more
wiley   +1 more source

Integration of SBAS-InSAR and RFE-RF-XGBoost for Landslide Vulnerability Assessment: A Case Study in Zhaotong City, Yongshan County. [PDF]

Sensors (Basel)
Huang J, Shi M, Ma Y, Huang C, Qian W, Sun F, Zuo X.   +6 more
europepmc   +1 more source

Using Financial and Sustainability Ratios to Map Sectors. An Approach With Compositional Data

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The article aims to visualize in a single graph Spanish fish and meat processing companies with respect to solvency, energy, waste and water intensity and gender employment gap. These financial, environmental, and social indicators are ratios, which require specific statistical analysis methods.
Elena Rondós‐Casas, Núria Arimany‐Serrat, Miquel Carreras‐Simó, Germà Coenders   +3 more
wiley   +1 more source

Radon gas mapping for environmental assessment in Dessie, Ethiopia. [PDF]

Sci Rep
Ahmed GE, Zeleke HG.
europepmc   +1 more source

Molten‐Salt‐Mediated Chemical Looping Oxidative Dehydrogenation of Ethane with In‐Situ Carbon Capture and Utilization

ChemSusChem, Volume 18, Issue 6, March 15, 2025.
A sustainable alternative to steam cracking, the molten‐salt‐mediated oxidative dehydrogenation (MM‐ODH) of ethane (C2H6) in Li2CO3‐Na2CO3‐K2CO3 (LNK) couples thermal cracking with melt‐mediated CO2 capture to realize commercially competitive C2H4 and CO yields. LNK composition strongly influences MM‐ODH process outcomes.
Kyle Vogt‐Lowell, Dennis Chacko, Kunran Yang, Jace Carsten, Junchen Liu, Matthew Housley, Fanxing Li   +6 more
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Evaluation of geological hazards susceptibility along a key railway based on machine learning. [PDF]

Sci Rep
Liang J, Qi W, Xu C, Wang P, Sun J, Zhang X, Xue Z, Chen J, Cui Y, Pan J, Wang J, Sun Q.   +11 more
europepmc   +1 more source