Cases | ChemTech

More profit from distillation, 

reaction and specialized units

Distillation is a basic process which is applied by any chemical plant. The range of distillation processes application is wide: from large-capacity units located in the front of the processing train, e.g. CDU (crude distillation unit), GFU (gas fractionation unit), to low-tonnage units for production of high purity products. In actual practice any distillation unit works under continuously changing conditions: changes of feed composition, changes of requirements to quality and amount of products, changes of ambient temperature, etc. All these changes have to be considered by the plant personnel during continuous decision making on how to operate the unit in an optimal way. Along with changing factors the personnel has to consider limitations of technological and auxiliary equipment (mass and heat exchanging equipment, pumps, feed and products tanks), limitations of logistics facilities, of laboratory capacity, etc.


AI Operator for distillation processes considers all combinations of all the parameters in real time, predicts changes of each external factor for the future period of time and develops each minute instructions  for the optimal process operation.
AI Operator involves specific software solutions for the calculation of the current and future state of the mass and heat exchanging equipment, algorithms  for quality estimators and for system optimization of distillation process parameters.

AI Operator for distillation process

AI for reaction systems

Reaction system is the heart of the chemical unit.  Inside a reactor dozens, hundreds and more chemical reactions take place continuously, affecting each other by chemistry, as a result of influence of reaction heat effect, hydrodynamic regime, changes of feed composition, presence of admixtures and poisons. All these factors make reaction system operation complex, multiparametric and nonlinear task. An improvement of a quality of reaction system operation provides an increase of a target product yield, decreases byproducts amounts, extensions a service cycle length. It, as a result, will provide the stable and rhythmical work of your plant's heart.

 

AI Operator for reaction systems involves thermodynamic and statistic models for the reaction system along with a specific module for modeling and prediction of kinetic and conversion parameters of the system. This lets in real time mode to define main and significant process parameters of the reaction system and to optimize a technological regime. Simultaneously, it is possible to optimize the operation of the reaction system in the long term, considering the possibility to decrease the velocity of catalyst deactivation.

Major amount of chemical complexes includes units for manufacturing of specialized products. The examples may be chemical processes with production of basic monomers, units for production of specific classes of polymers and productions of compounds by fine organic synthesis. As a rule, each unit from this group has specific features in an apparatus implementation as well as in a process operation. 

A determination of optimal parameters for unit operation is a complex task facing a plant personnel, since a degree of variance of different process parameters and their combinations is quite wide.

 

AI Operator provides the instructions for the optimal operation of the system in short terms, with help of machine learning methods for processing of the big historical data received from the unit along with the module for modelling of specialized chemical units. One of the key advantages of AI Operator is a prediction of quality and other required parameters of the final products of the unit at the initial stages, what helps to correct the process in the real time mode and to avoid formation of low quality products.

AI for specialized chemical units

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