Characteristic curves correlations to predict SARA composition and gas yields during heavy crude oil non-catalytic aquathermolysis

被引：4

作者：

Felix, Guillermo ^{[1
,2
]}

Tirado, Alexis ^{[1
,2
]}

Varfolomeev, Mikhail A. ^{[1
]}

Yuan, Chengdong ^{[1
]}

Ancheyta, Jorge ^{[1
,3
]}

机构：

[1] Kazan Fed Univ, Dept Petr Engn, Kazan, Russia

[2] Tecnol Nacl Mexico, IT Los Mochis, Los Mochis, Sinaloa, Mexico

[3] Inst Mexicano Petr, Eje Cent Lazaro Cardenas Norte 152, Mexico City 07730, DF, Mexico

来源：

CHEMICAL ENGINEERING COMMUNICATIONS | 2022年 / 210卷 / 11期

基金：

俄罗斯科学基金会;

关键词：

Characteristic curves correlations; aquathermolysis; SARA fractions; EQUATION;

D O I：

10.1080/00986445.2022.2150617

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Characteristic curve equations are used to calculate the products distribution during the non-catalytic aquathermolysis of Ashal'cha heavy crude oil at different reaction times (12, 24, 48, and 72 h) and temperatures (250 and 300 degrees C) with a 3:7 water-to-oil weight ratio. The developed equations accurately estimate the experimental information at different time of reaction and temperature with average absolute error lower than 5%. Unstable primary and secondary (UPS) products equations predicted the experimental results for aromatics and saturate fractions better than stable primary and secondary (SPS) products equations. On the contrary, the gas fraction was well calculated with the SPS products correlation.

引用

页码：1865 / 1872

页数：8

共 17 条

[1] Hydrothermal upgrading of heavy oil in the presence of water at sub-critical, near-critical and supercritical conditions [J].

Al-Muntaser, Ameen A. ;

Varfolomeev, Mikhail A. ;

Suwaid, Muneer A. ;

Yuan, Chengdong ;

Chemodanov, Artem E. ;

Feoktistov, Dmitriy A. ;

Rakhmatullin, Ilfat Z. ;

Abbas, Mustafa ;

Dominguez-Alvarez, Enrique ;

Akhmadiyarov, Aydar A. ;

Klochkov, Vladimir V. ;

Amerkhanov, Marat I. .

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 184

[2] A simple method for estimating gasoline, gas, and coke yields in FCC processes [J].

Ancheyta, J ;

Murillo-Hernández, JA .

ENERGY & FUELS, 2000, 14 (02) :373-379

[3] Distributed lump kinetic modeling for slurry phase vacuum residue hydroconversion [J].

Browning, Barbara ;

Pitault, Isabelle ;

Couenne, Francoise ;

Jansen, Tim ;

Lacroix, Maxime ;

Alvarez, Pedro ;

Tayakout-Fayolle, Melaz .

CHEMICAL ENGINEERING JOURNAL, 2019, 377

[4] Kinetic Analysis of Solid-State Reactions: A General Empirical Kinetic Model [J].

Cai, Junmeng ;

Liu, Ronghou .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2009, 48 (06) :3249-3253

[5] Uncertainty of empirical correlation equations [J].

Feistel, R. ;

Lovell-Smith, J. W. ;

Saunders, P. ;

Seitz, S. .

METROLOGIA, 2016, 53 (04) :1079-1090

[6] Revised Standardized Equation for Hydrogen Gas Densities for Fuel Consumption Applications [J].

Lemmon, Eric W. ;

Huber, Marcia L. ;

Leachman, Jacob W. .

JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY, 2008, 113 (06) :341-350

[7] Thermal cracking, aquathermolysis, and their upgrading effects of Mackay River oil sand [J].

Qu, Xiao ;

Li, Yang ;

Li, Songyan ;

Wang, Jiqian ;

Xu, Hai ;

Li, Zhaomin .

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2021, 201

[8] CORRELATIONS OF VISCOSITY, GAS SOLUBILITY, AND DENSITY FOR SASKATCHEWAN HEAVY OILS [J].

QUAIL, B ;

HILL, GA ;

JHA, KN .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1988, 27 (03) :519-523

[9] Comparison of probability distribution functions for fitting distillation curves of petroleum [J].

Sanchez, Sergio ;

Ancheyta, Jorge ;

McCaffrey, William C. .

ENERGY & FUELS, 2007, 21 (05) :2955-2963

[10] Physical properties of heavy oil distillation cuts [J].

Sanchez-Lemus, M. C. ;

Schoeggl, F. ;

Taylor, S. D. ;

Yarranton, H. W. .

FUEL, 2016, 180 :457-472

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