Prediction of Physicochemical Properties of FCC Feedstock by Chemometric Analysis of Their Ultraviolet Spectrum

Ferrer, Carlos A. Baldrich

doi:10.29047/01225383.468

Cited by 3 publications

References 9 publications

(14 reference statements)

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Comparison Between Nir and Uvvis Spectra Chemometrics for Predicting FCC Feedstocks Properties

Baldrich

Novoa

Bueno

2010

CT&F Cienc. Tecnol. Futuro

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In this paper a comparison is made between the performance of models developed by applying chemometric analysis to NIR and UVVIS spectral data obtained from feedsctock samples corresponding to the different Ecopetrol S.A., Barrancabermeja Refinery FCC units for predicting some important physicochemical properties. The results show the utility of both methodologies here evaluated to follow up the quality of these types of refinery streams and present the advantages and disadvantages of each methodology for predicting the feedstock properties here evaluated.

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Comparison Between Nir and Uvvis Spectra Chemometrics for Predicting FCC Feedstocks Properties

Baldrich

Novoa

Bueno

2010

CT&F Cienc. Tecnol. Futuro

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CT&F - Ciencia, Tecnología y Futuro

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Hydrocracking: A Perspective towards Digitalization

2020

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In a world of fast technological advancements, it is increasingly important to see how hydrocracking applications can benefit from and adapt to digitalization. A review of hydrocracking processes from the perspective of modeling and characterization methods is presented next to an investigation on digitalization trends. Both physics-based and data-based models are discussed according to their scope of use, needs, and capabilities based on open literature. Discrete and continuous lumping, structure-oriented lumping, and single event micro-kinetic models are reported as well as artificial neural networks, convolutional neural networks, and surrogate models. Infrared, near-infrared, ultra-violet and Raman spectroscopic methods are given with their examples for the characterization of feed or product streams of hydrocracking processes regarding boiling point curve, API, SARA, sulfur, nitrogen and metal content. The critical points to consider while modeling the system and the soft sensor are reported as well as the problems to be addressed. Optimization, control, and diagnostics applications are presented together with suggested future directions of interdisciplinary studies. The links required between the models, soft sensors, optimization, control, and diagnostics are suggested to achieve the automation goals and, therefore, a sustainable operation.

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Prediction of Physicochemical Properties of FCC Feedstock by Chemometric Analysis of Their Ultraviolet Spectrum

Cited by 3 publications

References 9 publications

Comparison Between Nir and Uvvis Spectra Chemometrics for Predicting FCC Feedstocks Properties

Comparison Between Nir and Uvvis Spectra Chemometrics for Predicting FCC Feedstocks Properties

CT&F - Ciencia, Tecnología y Futuro

Hydrocracking: A Perspective towards Digitalization

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