Main activities:


Research & Development (R&D) – a unit with the focus on data science methodology and development of machine learning algorithms;

people connected

Digital systems and “Business Intelligence” – monitoring, analysis, optimization of sequential processes.

Data science and machine learning

  • Advanced petrophysics is an umbrella project that integrates machine-learning algorithms for automatic lithology prediction for a well, analytics, and prediction of the probability of interval fracturing using cluster algorithm. Advanced tools are incorporated into standard petrophysics software through the toolbox of petrophysicists, where they use its logic to automate the routine operations of varying complexity that a petrophysics engineer performs daily.
  • Cognitive technologies in seismic represent an umbrella project within which algorithms for the restoration of seismic recordings, automatic separation of faults and spatial integration of heterogeneous data were developed by connecting the seismic cubes with geophysical logging data.
  • Advanced analysis of reservoir development, as an umbrella project, includes algorithms for well connectivity research, oil and fluid production forecasting, oil recovery coefficient forecasting, the forecasting of reservoir complexity index coefficient and the algorithm for automatic candidate search for GTA, overhaul works and acid treatment.
  • Virtual flow measurement in wells enables obtaining information regarding the production in a well, based on indirect measuring parameters, when we do not have real measurements of production. This project presented a classic challenge for multivariable regression, with a large imbalance in the frequency of input data, arriving in real time.
  • Predictive maintenance of pumps is a project aimed at discovering hidden links in the deviation of well operating regimes, with the aim of preventive maintenance, prevention of failures or timely detection of them. The direct effects achieved through the project are the increase of the overhaul period for ESP, as well as the timely planning of the implementation of measures for wells that are equipped with these pumps.
  • Digital Supervisor of geological and exploratory works (GIR): Model for automatic terrain reconnaissance and the recognition of geographical facilities using a drone. Developed for the detection of seismic sensors, control of their number and correct location. It enables monitoring the depth of traces from the vibration source after the passage of vibrating equipment, as well as monitoring compliance with HSE requirements

Digital systems and ,,Business Intelligence”

  • The digital platform for sand control – represents the creation of a digital platform for managing the sand control process in a well. The platform allows speeding up and simplifying work on well designing, monitoring and control with gravel pack, i.e., the systematization of all data into a single information system.
  • Software for assessing the profitability of wells – enables a higher degree of the automation of reporting and the visualization of well profitability indicators, as well as timely planning of certain measures and operations on the wells themselves.The project involves the development of a business application that will enable the integration of data with existing information systems, more efficient qualitative and quantitative analysis of operational data, timely making of operational decisions, reduction of manual input, and the increase of the level of reporting automation.
  • Software for choosing the optimal method of well exploitation – enables the optimization of the well fund, proposals for the optimization of the well fund up to 90%.The project involves the creation of an application for the automated selection of the optimal exploitation method in the PL/SQL and APEX Oracle environment, with verified calculation algorithms.
  • “Tool-box” – petroleum engineer – enables the reduction of the time spent on performing routine calculations related to reservoir development and production. The application enables semi-automatic solving of complex equations.
  • Oil Production Control Centre – Dashboards Power BI – enables monitoring, analysis and graphic display of production parameters of NIS and its concessions on a daily, monthly and annual level.The project involves connecting information systems and a BI platform, through whose interface the user has insight, in real time, about the current state of production, activities and statuses of each well.