Characterization of crude feed and products from operating conditions by using continuous probability functions and inferential models

Lee, Doug Hyung; Lee, Euy Soo; Park, Soo‐Jin

doi:10.1007/bf02706788

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…In most Crude Distillation Units (CDU), inferentials for product quality estimation based on available plant measurements are playing a strategic role in achieving operational excellence, 1–5 especially when associated to Advanced Process Control and Real‐Time Optimization applications 6 …”

Section: Introductionmentioning

confidence: 99%

Online product quality estimator based on true dew point curve for control of crude distillation units

Brambilla

2021

AIChE Journal

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Operational excellence for Distillation Units and particularly for Crude Distillation Units is achieved by tight control of product quality which is usually estimated by inferential models. This article is focused on a novel approach leading to calculate an appropriate input to the inferential model strictly related to the characteristics of real feed to the column rectifying section where the separation of products occurs. The calculation simplicity based on usually available plant measurements is an additional feature of the proposed approach. This article introduces the definition of a novel curve characterizing hydrocarbon streams: the True Dew Point curve (TDP), whose name recalls the strong relationship with True Boiling Point curve (TBP). Inferential results obtained with the TDP curve have been performed adopting an approximation of the rectifying feed TDP curve with the assumption that any more accurate TDP curve description would give better results. Inferential validation has been carried out comparing the estimations with two different approaches: one based on model input derived from the crude feed TBP curve, assuming that is known and considering these results as benchmark, the other based on a pilot tray temperature (assuming available) as model input for each product.A general database has been built running rigorous simulation models of an atmospheric fractionator, with variations of most operating parameters affecting the distillation ASTM 95% quality chosen as product specification. This article suggests the way to solve problems deriving from high nonlinearity of feed TBP curves, showing the application of TDP methodology to a vacuum fractionator. An application to real laboratory and plant data of atmospheric fractionator is also shown.

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Section: Introductionmentioning

confidence: 99%

Online product quality estimator based on true dew point curve for control of crude distillation units

Brambilla

2021

AIChE Journal

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“…As a whole, extrapolation employs several continuous functions to reconcile discrete observations gradually. In detail, polynomial regression techniques 12 and probability distribution function-based fitting approaches 13 are widely used to describe the discrete distillation data with appropriate parameters. Using extrapolation, features of the studied distillation data could be readily extracted by optimizing the parameters of the selected function.…”

Section: Introductionmentioning

confidence: 99%

Asymmetric Probability Distribution Function-Based Distillation Curve Reconstruction and Feature Extraction for Industrial Oil-Refining Processes

2020

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A distillation curve is an essential property for petroleum. Its features are beneficial for the modeling and optimization of oil-refining processes. To capture these features with a small number of parameters, an asymmetric probability distribution function-based distillation curve reconstruction and feature extraction method is proposed for the industrial oil-refining process. In our research, the expressive power of several frequently used probability distribution functions are first tested with some available distillation data. According to the statistics, the Kumaraswamy distribution function, one of the asymmetric probability distribution functions with four parameters, is identified as the best. Because not all distillation data are directly obtainable in the industry, the total probability theory-based data synthesis technique is adopted to estimate the key distillation points of unsampled streams, especially for the unmeasurable intermediate products at the outlet of a reaction system. Along with the distillation curve reconstruction, features of the synthetic distillation data are extracted by optimizing the parameters of the Kumaraswamy distribution function using the state transition algorithm. Industrial experiments were carried out to demonstrate the effectiveness of our proposal.

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Inferential monitoring and optimization of crude separation units via hybrid models

Mahalec

Sanchez

2012

Computers & Chemical Engineering

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Characterization of crude feed and products from operating conditions by using continuous probability functions and inferential models

Cited by 5 publications

References 15 publications

Online product quality estimator based on true dew point curve for control of crude distillation units

Online product quality estimator based on true dew point curve for control of crude distillation units

Asymmetric Probability Distribution Function-Based Distillation Curve Reconstruction and Feature Extraction for Industrial Oil-Refining Processes

Inferential monitoring and optimization of crude separation units via hybrid models

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