“Ukrnafta continues its digital transformation. Today, artificial intelligence is becoming one of the key tools that helps the company to work more accurately with subsoil, make more informed technological decisions and increase production efficiency.
Ukrnafta’s Research and Design Institute has created five neural network-based tools that are already changing the approach to geology and field development planning.
1. Automatic processing of large amounts of geological and industrial data.
Specialists perform data mining, recognize text and document structure in images, and automatically translate documents into Ukrainian. By July 2026, it is planned to complete the full processing of 1.8 million scanned paper carriers and create a full-fledged digital archive of geological and industrial documentation.
2. Recognizing and classifying geophysical measurement curves in images.
Neural networks significantly accelerate and improve the quality of the digitization process of scanned well logs. As a result, specialists receive the critical data they need to analyze and determine the location of productive formations and their characteristics faster. Additionally, a module has been created to automatically link a set of geophysical survey curves by depth using neural networks.
3. Automatic interpretation of lithological and petrophysical characteristics
A powerful tool for analyzing geophysical surveys that reproduces the logic of an experienced interpreter, automatically generating a preliminary forecast of important characteristics over the entire depth of the section. This allows you to clarify reservoir boundaries, find potentially productive intervals, and make field development strategies faster and more accurate.
4. Data preparation for digital 3D field models
The full cycle of preparing input data for digital field models has been automated. In fact, we are forming the basis for digital fields – digital twins that help manage the field in real time.
5. A recommendation system for selecting candidate wells for stimulation activities.
Neural networks are used to analyze the accumulated experience of technological operations and forecast possible flow rates for each well after stimulation. This approach allows us to quickly identify for further analysis exactly those facilities where workovers can provide the greatest increase in production right now.
The company carries out systematic work to effectively use the array of data accumulated over decades, combine it with the results of modern research and create a new level of accuracy in both planning and field operations.
In 2026, Ukrnafta will continue to use new technologies:
▪️ increasing the scale of digital transformation;
▪️ optimization of production processes;
▪️ prompt and most accurate production forecasting;
▪️ automation of seismic interpretation;
▪️ intelligent forecasting of equipment operation.
“Ukrnafta is moving to ensure that hydrocarbon production in Ukraine is based on accurate data, digital models and modern technological solutions, which will help to ensure the country’s energy sustainability more efficiently.
JSC Ukrnafta is the largest oil producer in Ukraine and the operator of the largest national network of filling stations – UKRNAFTA. In 2024, the company started managing the assets of Glusco. In 2025, the company finalized a deal with Shell Overseas Investments BV to buy the Shell network in Ukraine. In total, it operates 663 filling stations.
The company is implementing a comprehensive program to restore operations and update the format of its filling stations. Since February 2023, the company has been issuing its own fuel coupons and NAFTAKarta cards, which are sold to legal entities and individuals through Ukrnafta-Postach LLC.
Ukrnafta’s largest shareholder is Naftogaz of Ukraine with a 50%+1 share.
In November 2022, the Supreme Commander-in-Chief of the Armed Forces of Ukraine decided to transfer to the state a share of corporate rights of the company owned by private owners, which is now managed by the Ministry of Defense.
