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June 19, 2025
SPE Central Ukraine Section: Automating Seismic Interpretation with Machine Learning
On June 17, 2025, Kyiv hosted a thought-provoking event organized by the SPE Central Ukraine Section, bringing together professionals from the oil & gas, geoscience, and engineering sectors. The event focused on how machine learning (ML) is rapidly transforming seismic interpretation – one of the most complex and critical areas in geoscience and subsurface exploration.
Our colleague from AREMAT Group, Oleksandr Volevach, was among the participants, gaining valuable insights into the latest AI-driven technologies reshaping geophysical workflows.
A Strategic Meeting with Olivier Houzé, President of SPE International
A standout moment of the SPE Central Ukraine Section event in Kyiv was the personal appearance of
Olivier Houzé, President of SPE International.
During his remarks, Mr. Houzé emphasized the importance of innovation, sustainability, and international cooperation in shaping the future of the oil & gas sector. He also encouraged young engineers and scientists to take active roles in driving transformation through AI, data science, and new digital tools – underlining SPE’s global mission to connect minds and empower progress.
Keynote Speaker & Takeaways
Roman Petrokushyn – a geophysicist at SLB and assistant professor at the Department of Geophysics – delivered a compact yet insightful presentation. He highlighted how modern ML algorithms are dramatically improving the accuracy, speed, and objectivity of seismic interpretation.
Key takeaways included:
- Efficiency Gains: ML reduces the time needed to process and interpret seismic data from weeks to hours.
- Enhanced Accuracy: AI tools detect subtle patterns that are difficult to identify through manual interpretation.
- Real-Time Insights: Automated systems enable faster decision-making in exploration and development.
Why It Matters
As the energy sector faces growing pressure for efficiency, sustainability, and innovation, the integration of machine learning into seismic workflows represents a paradigm shift. Traditional methods often rely on expert interpretation, which is time-consuming and prone to bias. ML-based tools, in contrast, offer scalable, repeatable, and data-driven results.
For geoscientists and engineers, this transition means:
- More consistent outcomes,
- The ability to process vast datasets,
- Improved collaboration between humans and machines.
Community, Knowledge & Purpose
The event was supported by SLB, a global technology company driving energy innovation, and SPE Central Ukraine, an organization dedicated to advancing knowledge in petroleum engineering.
Participation was free for SPE members, while non-members were encouraged to donate to support the Armed Forces of Ukraine – merging professional development with a meaningful cause.
AREMAT Group’s Perspective
At AREMAT Group, we believe in continuous learning and active involvement in the professional community. Events like this are crucial for:
- Staying updated on breakthrough technologies,
- Networking with global thought leaders,
- Bringing innovation into our client projects.
We are especially proud to see our team engage in knowledge-sharing initiatives that not only drive business value but also contribute to the future of energy engineering in Ukraine and beyond.
