dc.creatorVELAZQUEZ ALTAMIRANO, JULIO CESAR; 161830
dc.creatorCALEYO CEREIJO, FRANCISCO; 26062
dc.creatorCABRERA SIERRA, ROMAN; 25282
dc.creatorTERAN ESCOBAR, JOSE GERARDO; 170169
dc.creatorHERNANDEZ SANCHEZ, ENRIQUE; 239644
dc.creatorCAPULA COLINDRES, SELENE IRAIS; 160241
dc.creatorHerrera Hernández, Héctor; 87908
dc.creatorOrtiz-Herrera, Carlos;#0000-0002-7675-2503
dc.creatorVELAZQUEZ ALTAMIRANO, JULIO CESAR
dc.creatorCALEYO CEREIJO, FRANCISCO
dc.creatorCABRERA SIERRA, ROMAN
dc.creatorTERAN ESCOBAR, JOSE GERARDO
dc.creatorHERNANDEZ SANCHEZ, ENRIQUE
dc.creatorCAPULA COLINDRES, SELENE IRAIS
dc.creatorHerrera Hernández, Héctor
dc.creatorOrtiz-Herrera, Carlos
dc.creatorVELÁZQUEZ ALTAMIRANO, JULIO C.
dc.creatorCALEYO, FRANCISCO
dc.creatorCABRERA SIERRA, ROMÁN
dc.creatorTERAN, GERARDO
dc.creatorHERNÁNDEZ SANCHEZ, ENRIQUE
dc.creatorCAPULA COLINDRES, SELENE
dc.creatorHERRERA HERNÁNDEZ, HÉCTOR
dc.creatorORTIZ HERRERA, Carlos O.
dc.date2019-03-07T00:23:58Z
dc.date2019-03-07T00:23:58Z
dc.date2018-11-08
dc.identifier1687-8434
dc.identifierhttp://hdl.handle.net/20.500.11799/99401
dc.descriptionFuel consumption has been increasing in recent years, especially that of diesel and jet fuel. For this reason, the necessity to build new plants to reduce their sulfur content has arisen. Sometimes, just revamping existing plants is feasible, but determining which pieces of equipment are in the appropriate condition to be reused is also necessary. In order to select the equipment, it is essential to have information about the wall thickness of vessels. Sometimes, the information is limited; consequently, the application of advanced statistical techniques is needed. ,e Bayesian Data Analysis (BDA) used in this study has the goal of determining a more accurate, unobserved thinning rate distribution for existing heat exchangers, taking into consideration all the information available about the thinning rate of the heat exchangers that cool down the effluent of the hydrotreating reactors in Mexican oil refineries. ,e information obtained from BDA was compared with existing shell wall thickness obtaining favorable results.
dc.languageeng
dc.publisherAdvances in Materials Science and Engineering
dc.relationvol. 2018;4314139
dc.rightsopenAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectCorrosion
dc.subjectBayesian data analysis
dc.subjectStatistical techniques
dc.subjectHeat exchanger
dc.subjectBIOLOGÍA Y QUÍMICA
dc.titleA Bayesian Approach for Estimating the Thinning Corrosion Rate of Steel Heat Exchanger in Hydrodesulfurization Plants
dc.typeArtículo
dc.typearticle


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