Results 21 to 30 of about 12,867 (222)

Design of New Composites Nano-Catalysts for Naphtha Reforming Process: Experiments and Process Modeling

open access: yesTikrit Journal of Engineering Sciences, 2023
The naphtha catalytic reforming process is evaluated by designing new composite nano-catalysts. Three catalysts were prepared for this process. The first catalyst was molybdenum carbide composite with platinum over HY zeolite (Mo2C.Pt/HY zeolite), the ...
Aysar T. Jarullah   +3 more
doaj   +1 more source

Artificial intelligence in steam cracking modeling : a deep learning algorithm for detailed effluent prediction [PDF]

open access: yes, 2019
Chemical processes can benefit tremendously from fast and accurate effluent composition prediction for plant design, control, and optimization. The Industry 4.0 revolution claims that by introducing machine learning into these fields, substantial ...
Amghizar, Ismaël   +5 more
core   +1 more source

Mercury in gas and oil deposits: corrosion problem [PDF]

open access: yesE3S Web of Conferences, 2021
Mercury naturally occurs in gas and oil deposits in a wide range of concentrations covering six orders of magnitude: up to 5 mg/m3 in natural gas and up to 600 ppm (mg/kg) in crude oil.
Mashyanov Nikolay
doaj   +1 more source

Experimental Study and Simulation of Iraqi Heavy Naphtha Catalytic Reforming Reactions Using Pt-Ir-Sn/AL2O3 and Pt-Ir/AL2O3 Catalysts [PDF]

open access: yesEngineering and Technology Journal, 2013
In present study experimental and mathematical model have been carried out to describe the reaction kinetics of catalytic reforming process using Iraqi heavy naphtha as a feedstock for the process. Two types of catalysts were prepared (Pt-Ir-Sn/AL2O3 and
Ramzy S. Hamied   +2 more
doaj   +1 more source

Predicting crude oil properties using fourier-transform infrared spectroscopy (FTIR) and data-driven methods

open access: yesDigital Chemical Engineering, 2022
Two data-driven approaches based on the Fourier-transform infrared spectroscopy (FTIR) data are presented in this work to predict crude oil properties. The first approach is the combination of the principal component analysis (PCA) and the support vector
Shu-Bo Yang, Jesús Moreira, Zukui Li
doaj   +1 more source

Comparison of Kinetic-based and Artificial Neural Network Modeling Methods for a Pilot Scale Vacuum Gas Oil Hydrocracking Reactor

open access: yesBulletin of Chemical Reaction Engineering & Catalysis, 2013
An artificial neural network (ANN) and kinetic-based models for a pilot scale vacuum gas oil (VGO) hydrocracking plant are presented in this paper. Reported experimental data in the literature were used to develop, train, and check these models.
Sepehr Sadighi, Gholam Reza Zahedi
doaj   +1 more source

Parametric Study on Intrinsic Reaction for Straight Run Heavy Naphtha Hydrodesulfurization over CoMo/Al2O3 Catalyst [PDF]

open access: yesEngineering and Technology Journal, 2018
The present study aimed to investigate the intrinsic reaction of hydrodesulfurization (HDS) for a real Straight Run Heavy Naphtha (SRHN) over CoMo-S/Al2O3 catalyst in a fixed- bed reactor.
Mohammad Abid   +2 more
doaj   +1 more source

Investigation and Simulation of Catalytic Reforming Reactions of Iraqi Heavy Naphtha Using Pt-Sn/Al2O3 and Pt-Ir/Al2O3 Catalysts [PDF]

open access: yesEngineering and Technology Journal, 2013
In the present work experimental and simulation studies have been carried out to describe the reaction kinetics of catalytic reforming process using Iraqi heavy naphtha as a feedstock.
Ramzy S. Hamied   +2 more
doaj   +1 more source

A framework for enhancing industrial soft sensor learning models

open access: yesDigital Chemical Engineering, 2023
Refinery industrial processes are very complex with nonlinear dynamics resulting from varying feedstock characteristics and also from changes in product prioritization.
João Guilherme Mattos   +15 more
doaj   +1 more source

CATALYTIC CRACKING OF HEAVY NAPHTHA USING NEW SULPHONATED MICA CATALYST [PDF]

open access: yesJournal of Environmental Science, 2019
Sulphonated mica was prepared as catalytic cracking catalyst for heavy naphtha by sulphonation of oxidized mica using sulfuric acid. The oxidized mica was prepared by the treatment of mica with nitric acid to obtain its oxidized form. The raw mica and the prepared catalyst were analyzed by X-ray diffraction and FT-IR spectral analysis.
Mohammed, M. Abdel Rahim   +2 more
openaire   +1 more source

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