Study of quality of petroleum products with the application of models

Tugashova, L. G.; Zatonskiy, A.V.

doi:10.15350/17270529.2019.4.58

Cited by 1 publication

(3 citation statements)

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“…Besides Inline Analyzers and Laboratory Analysis, Virtual Online analyzers (VOA) (Soft Sensors or Virtual Online Analyzers) are used. Most of them are based on multivariate regression models [6,7] or artificial intelligence techniques [8,9,10].…”

Section: Literature Review and Identification Of Process Featuresmentioning

confidence: 99%

“…where 𝑏 0 = 𝑏 0 * 𝑥 0 − 𝜑(𝑏 4 + 𝑏 5 + 𝑏 6 ). The calculated values of b-coefficients are written into the equation ( ) (7). When assessing the adequacy of the model, it is assumed that there are no parallel experiments.…”

Section: Orthogonal Central Composite Designmentioning

confidence: 99%

“…The adequacy of the model (7) was checked by Fisher's criterion (F-test). The tabulated value of Fisher's criterion (F-test) Ftable was calculated by the function finv(, f1, f2).…”

Section: Orthogonal Central Composite Designmentioning

confidence: 99%

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A simulation modeling approach used in the crude oil refining process

Tugashova

Баженов

Abdyldaeva

et al. 2022

J. Phys.: Conf. Ser.

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Mathematical and simulation modeling methods are applied when defining parameters of effective operation of oil fractionation. There is a review of software packages of process modeling used for refining ventures in the study. Multisphere model of oil fractionation with a low capacity applied is offered in the paper. The designed model allows taking into account constructive peculiarities of the equipment of small capacity units. The flow diagram of the model calculation algorithm with the additional evaluator of petroleum products quality indices is given by the authors. A design matrix for a three-factor experiment involving a multisphere model is obtained. An orthogonal central composite design has been applied to improve the accuracy of the model and to consider a non-linear parameter link. The MatLab software was chosen as an enabler. The criterion was the energy cost of separation. Factors affecting the criterion are flow rate of superheated water steam, reflux rate, potential light fractions in the crude/feed. The adequate obtained regression quadratic dependency towards the initial values by Fisher’s criterion has been assessed. The average relative error was 0.21 percent. The obtained statistical model can be applied for solving an optimization problem by the criterion of power consumption within a variable fractional composition of the raw material. Quality indices of oil products (gasoline fraction and diesel oil) serve as constraints. The offered statistical model applied at oil fractionation low-power facilities promotes the efficiency of plant operation improvement and the efficiency of obtaining information about the quality of oil products.

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