Improvement of the prediction performance of a soft sensor model based on support vector regression for production of ultra-low sulfur diesel

S Shokri, MT Sadeghi, MA Marvast, S Narasimhan - Petroleum Science, 2015 - Springer
A novel data-driven, soft sensor based on support vector regression (SVR) integrated with a
data compression technique was developed to predict the product quality for the …

Development of a rule to maximize the research octane number (RON) of the isomerization product from light naphtha

R Hayati, SZ Abghari, S Sadighi, M Bayat - Korean Journal of Chemical …, 2015 - Springer
The isomerization process is a substantial technology to produce clean fuel from linear
paraffinic species existing in light naphtha. We investigated the influence of hydrocracking …

Combination of data rectification techniques and soft sensor model for robust prediction of sulfur content in HDS process

S Shokri, MA Marvast, MT Sadeghi… - Journal of the Taiwan …, 2016 - Elsevier
A novel approach based on integration of data rectification techniques and support vector
regression (SVR) is proposed to predict the sulfur content of treated product in gas oil …

Membrane based gas–liquid dispersion integrated in fixed-bed reactor: a highly efficient technology for heterogeneous catalysis

M Hou, H Jiang, Y Liu, C Chen, W Xing… - Industrial & …, 2018 - ACS Publications
A fixed-bed reactor with an external multichannel ceramic membrane for generation of gas–
liquid microdispersion system is developed for heterogeneous catalysis. The reactor …

Entrained-flow gasification of oil sand coke with coal: assessment of operating variables and blending ratio via response surface methodology

F Vejahati, H Katalambula, R Gupta - Energy & fuels, 2012 - ACS Publications
Co-gasification of oil sand fluid coke with sub-bituminous coal was performed in an
entrained-flow gasifier. The underlying objective of this work was to assess the combined …

[PDF][PDF] Adsorption and Desorption of Sulfur Compounds by Improved Nano Adsorbent: Optimization Using Response Surface Methodology

G Bakhtiari, M Bazmi, M Abdouss, SJ Royaee - Iranian Journal of Chemistry …, 2017 - sid.ir
Today, sulfur removal from fuels has improved by new adsorbents such as zeolites that
needs extensive studies. This study investigates the feasibility of sulfur compounds …

[PDF][PDF] Determination of suitable operating conditions of fluid catalytic cracking process by application of artificial neural network and firefly algorithm

S Zahedi Abghari, A Imani - Iranian Journal of Chemistry and Chemical …, 2018 - ijcce.ac.ir
Fluid Catalytic Cracking (FCC) process is a vital unit to produce gasoline. In this research, a
feed forward ANN model was developed and trained with industrial data to investigate the …

Experimental and modeling study of a catalytic reforming unit

SZ Abghari, A Alizadehdakhel, RS Mohaddecy… - Journal of the Taiwan …, 2014 - Elsevier
An experimental and modeling investigation of catalytic reforming of naphtha in a pilot-scale
packed bed reactor is described in the present work. The effects of operating conditions on …

A two-dimensional discrete lumped model for a trickle-bed vacuum gas oil hydrocracking reactor

S Sadighi - Korean Journal of Chemical Engineering, 2016 - Springer
Abstract A two-dimensional (2D) computational fluid dynamics model based on discrete
lumping approach was used to predict the product yields of a pilot scale vacuum gas oil …

Study on the formation, determination, and removal of elemental sulfur in ultra-low sulfur gas oil

C Yin, H Li, H Liu, L Zhao, Z Bai, Y Wang… - Fuel processing …, 2014 - Elsevier
The question as to the formation of elemental sulfur in petroleum has never been definitely
settled, although there are many references in the literature to the presence of elemental …