Practical experience in conducting 3D seismic surveys under significant operational constraints, and the use of modern AI (artificial intelligence) technologies to analyse accumulated experience in hydraulic fracturing (HF) and acid fracturing operations — these were the topics presented by JSC "Ukrnafta" specialists during the 87th EAGE Annual Conference & Exhibition 2026.
The 87th EAGE Annual Conference & Exhibition 2026 is a leading international event for geologists, geophysicists, engineers, researchers, and energy sector representatives, bringing together experts to discuss cutting-edge technologies, partnerships, and the future development of the energy sector.
Specialists from "Ukrnafta" delivered two presentations demonstrating advances in Ukrainian oil production and the modern research methodologies utilized by the state-owned company.
The first presentation, co-authored by Sabina Klärner (SKGeo), Olena Prykhodchenko, Pavlo Myronov (JSC "Ukrnafta"), and Serhii Drachev (Geogals), focused on the practical experience of performing 3D seismic surveys under significant operational constraints. It specifically addressed the enhancement of the seismic wavefield using state-of-the-art seismic data processing algorithms and true-amplitude preservation techniques.
Using one of the Company's license blocks as a case study, the presentation demonstrated how modern processing and interpretation of 3D seismic data help to refine the field’s structural model, identify zones with potentially better reservoir properties, and support more substantiated decisions regarding future drilling and exploration activities.
The second presentation, prepared by Oleh Yurchyshyn and Andrii Shyvak (RDI), Yaroslav Khalak (EOR/Enhanced Oil Recovery Division of the Field Development Department), with methodological support from Svitlana Rozlovska (IFNTUNG), was dedicated to the use of modern AI technologies to analyse production history, geological and geophysical parameters, archival data, and accumulated experience in hydraulic and acid fracturing operations conducted by the Company since 1996. The primary focus was on developing a recommendation system for selecting candidate wells for production stimulation.
The proposed approach integrates data from various sources, enabling a neural network model to predict the expected production uplift following stimulation. The system outputs a ranking of wells based on their potential production increase. While this ranking does not replace expert judgment, it helps specialists quickly identify the most promising candidates for further technical and economic analysis.
Participation in EAGE Annual 2026 provides a valuable opportunity to showcase the practical results achieved by Ukrainian specialists on the international professional platform. At the same time, it demonstrates the continuous development of the Company's in-house solutions supporting operational decision-making.
