The Department of Digital Technologies in the Industry (DTI) provides a wide range of services for solving applied problems in the UPSTREAM, DOWNSTREAM, and MIDSTREAM sectors of the Oil & Gas industry based on modern data analysis approaches. The ideology of the department is built on the formation of hybrid approaches to solving customer problems by combining modern digital technologies with physical models. Statistical learning approach as applied to industrial data is not a self-sufficient tool, it is essential to take account for physical issues of the process as well as the technological specifications of the studied processes. The department covers a broad range of problems, from automation of geological research of wells to optimizing the operation of oil refining installation, with the ultimate goal of achieving specific indicators agreed with the customer: Oil Recovery Factor, additional production, NPV, VOI, product quality, etc. A feature of proposed solutions is the possibility to improve the above indicators without the implementation of investment measures. The projects involves high-level specialists with strong background in physics and mathematics gained in the leading universities and professioonal experience in Russian and Western companies. The department is headed by Semen BUDENNYY.

Non-seismic sensing technology

Challenges:

  • Risks in making decisions on under-explored sites
  • High cost of seismic and drilling

Solution:

  • Integrated modeling of NSM for planning future work
  • Evaluation of geophysical methods informational value from an economic point of view
  • Complex interpretation of geophysical surveys

Result:

  • Reducing the site research cost

Economic assessment for planned work

Field data quality enhancement

Challenges:

  • Risks in making decisions on low quality field data
  • Problems in the work of measuring equipment
  • Human factor in inaccuracy of technological processes data registration

Solution:

  • Recovery of missing intervals
  • Overswing removal
  • Verification of recorded data

Result:

  • Reducing the risk of making decisions based on field data
  • Data quality enhancement

Field-analog search

Challenges:

  • Lack of fast and integrated field comparison techniques in relation to development efficiency

Solution:

  • Implementation of the tool for integrated oil fields benchmarking

Result:

  • Fields similarity matrix, which allows to adopt successful practices in the development of analogous fields

Analysis of reservoir fluid samples

Challenges:

  • Lack of methods for reliability assessment of PVT studies

Solution:

  • Implementation of a probabilistic model describing the PVT properties of reservoir fluids

Result:

  • Determination of sample anomaly
  • Separation of samples into several clusters
  • Calculation of expected values of sample characteristics based on trusted values

Optimization of production processes energy consumption

Challenges:

  • Inefficient power consumption
  • Non-optimal modes of conducting technological processes of extraction and secondary rectification
  • The need to take into account the seasonality of the equipment operation and the machine utilization

Solution:

  • Implementation of a modern intellectual recommender system for maintaining optimal plant management modes
  • Development of facility digital twin

Result:

  • Reduction of operating costs for energy consumption
  • Optimal control automatization

Automation of well logging investigations

Challenges:

  • High human factor influence
  • Large time costs

Solution:

  • Implementation of deep learning algorithms to automate the search of a reservoir

Result:

  • Significant increase in calculations speed and accuracy

Petrophysical thin sections analysis

Challenges:

  • High human factor influence
  • Large time costs

Solution:

  • Implementation of deep learning algorithms to automate most of the research

Result:

  • A significant increase in the accuracy of quantitative analysis of the core microstructure characteristics and an increase in petrographic analysis rate