From King Fahd University of Petroleum & Minerals comes an article titled “Transparent
predictive modelling of catalytic hydrodesulfurization using an interval type-2
fuzzy logic.”
It describes a method using machine learning to explore catalytic hydrodesulfuration.
TIP: Google® “Transparent predictive modelling of catalytic hydrodesulfurization using an interval type-2 fuzzy logic.”
You will find two sources for the full text of this article. One you will you have to pay for. The other is free, if you take the time to register with researchgate.net (https://www.researchgate.net/).
Here is the abstract of the article …
///////
Journal of Cleaner Production
Available online 22 May 2019
Transparent predictive modelling of catalytic hydrodesulfurization using an interval type-2 fuzzy logic
Hamdi A. Al-Jamimi a, Tawfik A. Saleh b
a Information and Computer Science Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
b Chemistry Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
Highlights
• Model for desulfurization using interval type-2 fuzzy logic approach is developed.
• Proposed system uses interval type-2 fuzzy in premises and consequences of rules.
• Mamdani based interval T2FL toolbox is developed.
• The interval T2FL system shows robust performance against the uncertainties.
• Constructed model prediction accuracy was validated using real experimental data.
Abstract
Optimizing the desulfurization process in reactors would assist in predicting the performance of catalysts, and in turn, the final sulfur concentration in fuel. Machine learning (ML) techniques have proven their predictive capacity in solving challenging problems in the petroleum industry. Several ML-based sulfur predictors have been designed to predict the sulfur concentration in fuel products. The capability to handle the impression and uncertainty present in the real-world environment has made fuzzy logic (FL) one of the most commonly utilized soft computing paradigms in modeling. This paper proposes an interval type-2 fuzzy logic model to optimize the use of catalysts for hydrodesulfurization (HDS) in an oil refinery for cleaner production. Such optimization assists decision makers in identifying the precise required conditions such as temperature, pressure and the amount of catalyst required to avoid unexpected redesulfurization. The catalyst was synthesized from AlMoCo modified with boron, phosphorus or bismuth. A series of hydrodesulfurization was performed using these catalysts under various conditions. The collected data were used to build and test the model. The results showed a promising prediction performance in terms of average absolute relative error (AARE = 0.0647) and the squared correlation coefficient (R2=0.995). Further experimental validation done on unexplored parameter settings demonstrates that the predicted values obtained from the proposed model corresponds closely with the follow-up experimental results where an average absolute difference of less than 4 ppm was recorded. This proves the capacity of the interval type-2 FL model in handling uncertainty, which holds great promise for cleaner production of oil. The reported model prove to be good for prediction of catalysts performance in a single unit, however, it cannot be used for catalysts in dual units.
Keywords
Chemical engineering; Catalysts optimization; Environmental sustainability; Modeling; Type-2 fuzzy logic; Desulfurization
source: https://www.sciencedirect.com/science/article/pii/S0959652619317585
///////
TIP: Google® hydrodesulfurization king fahd to find other interesting articles in the same vein.
Here are some results from the search …
///////
Synthesis of a Ti-SBA-15-NiMo Hydrodesulfurization Catalyst: The ...
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b00719
by SA Ganiyu - 2017 - Cited by 7 - Related articles
Apr 23, 2017 - Refining and Petrochemicals, King Fahd University of Petroleum and ... catalysts are necessary for ultradeep hydrodesulfurization (UD-.
US Patent Application for HYDRODESULFURIZATION CATALYST ...
https://patents.justia.com/patent/20180100107
Apr 12, 2018 - A single-pot method of producing a hydrodesulfurization catalyst by ... Latest King Fahd University of Petroleum and Minerals Patents: SENSOR ...
Study on Hydrodesulfurization of a Mixture of Middle Distillates ...
https://link.springer.com/article/10.1007/s13369-017-3005-1
by MF Abid - 2018 - Related articles
Dec 20, 2017 - This study aimed to investigate the feasibility of hydrodesulfurization (HDS) of a mixture ... King Fahd University of Petroleum & Minerals 2017 ...
Study on Hydrodesulfurization of a Mixture of Middle ... - Springer
https://link.springer.com/content/pdf/10.1007%2Fs13369-017-3005-1.pdf
Dec 20, 2017 - King Fahd University of Petroleum & Minerals 2017. Abstract. This study aimed to investigate the feasibility of hydrodesulfurization (HDS) of a ...
Thermodynamic Aspects of Hydrodesulfurization and ...
https://www.tandfonline.com/doi/pdf/10.1080/10916460500526973
by SA Ali - 2007 - Cited by 8 - Related articles
Center for Refining and Petrochemicals, The Research Institute, King Fahd ... Keywords: hydrodenitrogenation, hydrodesulfurization, hydrotreating reactions, re-.
Thermodynamic Aspects of Hydrodesulfurization and ... - ResearchGate
https://www.researchgate.net/.../233474165_Thermodynamic_Aspects_of_Hydrodesulfu...
Syed Ali at King Fahd University of Petroleum and Minerals ... a comprehensive review of the thermodynamics of hydrodesulfurization and hydrodenitrogenation, ...
Factors influencing the performance of naphtha hydro-desulfurization ...
https://www.researchgate.net/.../241068171_Factors_influencing_the_performance_of_...
Apr 25, 2019 - Syed Ali at King Fahd University of Petroleum and Minerals ... performance of the two CoMo catalysts was evaluated for hydrodesulfurization of ...
Performance evaluation of HDS catalysts by ... - ScienceDirect.com
https://www.sciencedirect.com/science/article/pii/001623619500076H/pdf?md5...
by JA Anabtawi - 1995 - Cited by 12 - Related articles
Petroleum and Gas Technology Division, The Research institute, King Fahd ... results of pilot plant evaluation of two commercial hydrodesulfurization (HDS).
Synthesis, application and kinetic modeling of CeO x –Si–CoMo ...
https://pubs.rsc.org/en/content/articlehtml/2019/re/c8re00330k
by A Tanimu - 2019 - Cited by 2 - Related articles
Jan 24, 2019 - aDepartment of Chemistry, King Fahd University of Petroleum and Minerals, ... The ultradeep hydrodesulfurization (HDS) of fuel with a highly ...
Development of hydrodesulfurization catalyst using comparative ...
https://research.tue.nl/.../development-of-hydrodesulfurization-catalyst-using-comparativ...
by H Nakamura - 2008 - Cited by 2 - Related articles
Development of hydrodesulfurization catalyst using comparative model feed reactions and ... Publisher, King Fahd University of Petroleum and Minerals.
////////
And finally, as a reward for having the patience to browse to the bottom of this post, here is a parting tip …
TIP: Create a Google® Scholar email alert for “king fahd university”
Because King Fahd University is focused on petroleum, any published research from that institution will be worth at least a glance.
It describes a method using machine learning to explore catalytic hydrodesulfuration.
TIP: Google® “Transparent predictive modelling of catalytic hydrodesulfurization using an interval type-2 fuzzy logic.”
You will find two sources for the full text of this article. One you will you have to pay for. The other is free, if you take the time to register with researchgate.net (https://www.researchgate.net/).
Here is the abstract of the article …
///////
Journal of Cleaner Production
Available online 22 May 2019
Transparent predictive modelling of catalytic hydrodesulfurization using an interval type-2 fuzzy logic
Hamdi A. Al-Jamimi a, Tawfik A. Saleh b
a Information and Computer Science Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
b Chemistry Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia
Highlights
• Model for desulfurization using interval type-2 fuzzy logic approach is developed.
• Proposed system uses interval type-2 fuzzy in premises and consequences of rules.
• Mamdani based interval T2FL toolbox is developed.
• The interval T2FL system shows robust performance against the uncertainties.
• Constructed model prediction accuracy was validated using real experimental data.
Abstract
Optimizing the desulfurization process in reactors would assist in predicting the performance of catalysts, and in turn, the final sulfur concentration in fuel. Machine learning (ML) techniques have proven their predictive capacity in solving challenging problems in the petroleum industry. Several ML-based sulfur predictors have been designed to predict the sulfur concentration in fuel products. The capability to handle the impression and uncertainty present in the real-world environment has made fuzzy logic (FL) one of the most commonly utilized soft computing paradigms in modeling. This paper proposes an interval type-2 fuzzy logic model to optimize the use of catalysts for hydrodesulfurization (HDS) in an oil refinery for cleaner production. Such optimization assists decision makers in identifying the precise required conditions such as temperature, pressure and the amount of catalyst required to avoid unexpected redesulfurization. The catalyst was synthesized from AlMoCo modified with boron, phosphorus or bismuth. A series of hydrodesulfurization was performed using these catalysts under various conditions. The collected data were used to build and test the model. The results showed a promising prediction performance in terms of average absolute relative error (AARE = 0.0647) and the squared correlation coefficient (R2=0.995). Further experimental validation done on unexplored parameter settings demonstrates that the predicted values obtained from the proposed model corresponds closely with the follow-up experimental results where an average absolute difference of less than 4 ppm was recorded. This proves the capacity of the interval type-2 FL model in handling uncertainty, which holds great promise for cleaner production of oil. The reported model prove to be good for prediction of catalysts performance in a single unit, however, it cannot be used for catalysts in dual units.
Keywords
Chemical engineering; Catalysts optimization; Environmental sustainability; Modeling; Type-2 fuzzy logic; Desulfurization
source: https://www.sciencedirect.com/science/article/pii/S0959652619317585
///////
TIP: Google® hydrodesulfurization king fahd to find other interesting articles in the same vein.
Here are some results from the search …
///////
Synthesis of a Ti-SBA-15-NiMo Hydrodesulfurization Catalyst: The ...
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b00719
by SA Ganiyu - 2017 - Cited by 7 - Related articles
Apr 23, 2017 - Refining and Petrochemicals, King Fahd University of Petroleum and ... catalysts are necessary for ultradeep hydrodesulfurization (UD-.
US Patent Application for HYDRODESULFURIZATION CATALYST ...
https://patents.justia.com/patent/20180100107
Apr 12, 2018 - A single-pot method of producing a hydrodesulfurization catalyst by ... Latest King Fahd University of Petroleum and Minerals Patents: SENSOR ...
Study on Hydrodesulfurization of a Mixture of Middle Distillates ...
https://link.springer.com/article/10.1007/s13369-017-3005-1
by MF Abid - 2018 - Related articles
Dec 20, 2017 - This study aimed to investigate the feasibility of hydrodesulfurization (HDS) of a mixture ... King Fahd University of Petroleum & Minerals 2017 ...
Study on Hydrodesulfurization of a Mixture of Middle ... - Springer
https://link.springer.com/content/pdf/10.1007%2Fs13369-017-3005-1.pdf
Dec 20, 2017 - King Fahd University of Petroleum & Minerals 2017. Abstract. This study aimed to investigate the feasibility of hydrodesulfurization (HDS) of a ...
Thermodynamic Aspects of Hydrodesulfurization and ...
https://www.tandfonline.com/doi/pdf/10.1080/10916460500526973
by SA Ali - 2007 - Cited by 8 - Related articles
Center for Refining and Petrochemicals, The Research Institute, King Fahd ... Keywords: hydrodenitrogenation, hydrodesulfurization, hydrotreating reactions, re-.
Thermodynamic Aspects of Hydrodesulfurization and ... - ResearchGate
https://www.researchgate.net/.../233474165_Thermodynamic_Aspects_of_Hydrodesulfu...
Syed Ali at King Fahd University of Petroleum and Minerals ... a comprehensive review of the thermodynamics of hydrodesulfurization and hydrodenitrogenation, ...
Factors influencing the performance of naphtha hydro-desulfurization ...
https://www.researchgate.net/.../241068171_Factors_influencing_the_performance_of_...
Apr 25, 2019 - Syed Ali at King Fahd University of Petroleum and Minerals ... performance of the two CoMo catalysts was evaluated for hydrodesulfurization of ...
Performance evaluation of HDS catalysts by ... - ScienceDirect.com
https://www.sciencedirect.com/science/article/pii/001623619500076H/pdf?md5...
by JA Anabtawi - 1995 - Cited by 12 - Related articles
Petroleum and Gas Technology Division, The Research institute, King Fahd ... results of pilot plant evaluation of two commercial hydrodesulfurization (HDS).
Synthesis, application and kinetic modeling of CeO x –Si–CoMo ...
https://pubs.rsc.org/en/content/articlehtml/2019/re/c8re00330k
by A Tanimu - 2019 - Cited by 2 - Related articles
Jan 24, 2019 - aDepartment of Chemistry, King Fahd University of Petroleum and Minerals, ... The ultradeep hydrodesulfurization (HDS) of fuel with a highly ...
Development of hydrodesulfurization catalyst using comparative ...
https://research.tue.nl/.../development-of-hydrodesulfurization-catalyst-using-comparativ...
by H Nakamura - 2008 - Cited by 2 - Related articles
Development of hydrodesulfurization catalyst using comparative model feed reactions and ... Publisher, King Fahd University of Petroleum and Minerals.
////////
And finally, as a reward for having the patience to browse to the bottom of this post, here is a parting tip …
TIP: Create a Google® Scholar email alert for “king fahd university”
Because King Fahd University is focused on petroleum, any published research from that institution will be worth at least a glance.
No comments:
Post a Comment