Digital Tech

The key avenues of research concern the application of the latest techniques, including big data analytics, machine learning, distributed ledger systems to solve a wide spectrum of industry tasks in the area of petrochemistry with the use of specialized software, high-performance computing equipment and quantum technology solutions

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Avenues for research

  • Modeling chemical technology processes and equipment
  • Virtual and augmented reality application domains
  • Advanced 3D modeling
  • Modeling flow physics of liquids, gases and viscous substances
  • Modeling under data scarcity
  • Lotfi Zadeh's fuzzy logic.
    Fuzzy logic systems
  • Genetic algorithms (GA).
    Solving optimization problems by GA
  • Machine learning and big data analytics issues and solutions
  • Application of machine learning and AI techniques to the design of substances (drugs, petrochemicals, etc.)
  • Application of quantum machine learning techniques to the design of substances and compounds (drugs, petrochemicals, etc.)
  • Application of quantum circuits to predict the properties of substances
  • Boltzmann machines, restricted Boltzmann machines


Predictive analytics encompasses a variety of statistical and machine learning techniques that analyze historical facts to make predictions about the future

  • 1 Obtaining input data (data integrity and adequacy verification)
    Regulations, flow chart, shift logs, lab analysis data (maximum quantity from LIMS, MES), Automated Process Control System data
  • 2 Creating the unit model (digital copy)
  • 3 Creating a test predictive analytics system to assess the usability and efficiency of historical data; make forecasts and recommendations; study the areas for efficiency improvement
  • 4 Creating a predictive analytics system for real-time processes.
  • Creating trend predictors based on neural networks
  • Training on custom data samples
  • One-stop flexible interface
  • Use of NVIDIA CUDA to speed up computing
  • Written in Python 3


• Deployment of Ethereum or HyperLedger Fabric based private/consortium blockchain applications

• Solidity, Python or Golang development of smart contracts tailored to an enterprise's business objectives

• End-to-end development of decentralized applications


• Logistics and document flow

• Corporate governance

• Control, dosing and accounting of petroleum products

• Application of distributed ledgers in the system of petrol/hydrogen filling stations

• The use of blockchain technologies in the field of machine learning, Deep Learning and Big Data

Computational Fluid Dynamics (CFD)

A set of theoretical, experimental and numerical techniques to simulate the flow of liquids and gases, as well as heat and mass transfer processes, reactant flows, etc.

  • Calculation and visualization of flows in equipment
    Determination of local velocities, differential pressures and stagnant zones in single- or multi-phase fluid flows
  • Modeling of multi-phase flows, study of deposition/floating processes
  • Study of heat exchange processes.
    Modeling of substandard heat exchangers
  • Modeling of fluidized beds based on the properties of bulk materials with the use of CFD software solutions
  • Interdisciplinary research

Augmented Reality (AR)

AR technology helps to significantly reduce transaction costs and facilitate more accurate decision-making for companies operating in a less well-defined industries, such as the oil & gas industry.

  • Creation of a system of field access to the Automated Process Control System: an interface that allows operators to access the control system wherever they are and perform online operations in the field
  • Portable readers of sensor metrics: a system enabling monitoring the unit’s condition during the walk-round check and obtaining information from the devices without the need to access to them directly.