Workshop 8

Unveiling the Unseen: Embracing AI’s Power in Interpretation. Monday June 10th | Room 11


  • Anastasiia Jacobsen (Bluware)
  • Anita Torabi (University of Oslo)
  • Alessandro Manini (Santos)
  • Brian Eslick (Total Energies)
  • Cyrille Reiser (PGS)
  • James Lowell (Geoteric)
  • Nicolas Daynac (Eliis)
  • Victor Aarre (Consultant)


During the workshop, we will review and debate the fusion of human expertise and cutting-edge AI advancements into our entire workflows. Explore seismic interpretation mysteries, reservoir characterisation, and more. Join us for a very engaging workshop that redefines exploration & production and shapes the future of interpretation.

Sub-Topics that will be covered in the workshop:

  • Artificial Intelligence (AI) for:
    • Seismic Data Conditioning
    • Stratigraphic & Fault interpretation
    • Reservoir Properties Estimation 
    • Energy Transition: CCS, Wind
  • Seismic Data Augmentation
  • Methods to validate the result
  • Pitfalls in AI for Seismic Interpretation
  • AI-compatible Data format & Data structure
  • Human and AI: who is better at what?

Participant Profile

Interpreters, quantitative interpretation specialist-geoscientists, management interested in getting a broader understanding how AI fits into the wider scope of interpretation.

Industry and academia background are very welcome as well as people without a specific background in AI or even interpretation who want to know more about this fast developing field of our industry. We invite participants to actively contribute through sharing their experience with case studies, results, algorithms, ..

Workshop Programme

08:15Workshop Introduction
Topic 1: AI compatible Seismic Data Format; Augmentation...
08:25Leveraging OSDU cloud technologies to improve performances of seismic data – I. Frank Haeseler (Total)
08:45Human choices to define data structures to aid development of better AI applications – A. John Solum (Shell)
09:05GenAI for advanced seismic generation, data enrichment and instant seismic search – G. Anna Dubovik (Data Analysis Center)
09:25The Importance of Data Governance to Scale Up the Value in AI Solutions – Oddgeir Gramstad (AkerBP)
09:45 Round table discussion
10:00Coffee break
Topic 2: AI for Seismic Interpretation and Reservoir Properties Prediction
10:10Seismic Data Conditioning and it’s implications for AI seismic Interpretation – Ryan Williams (Geoteric)
10:30Generating horizon volume from seismic poststack images using artificial intelligence– Aria Abubakar (SLB)
10:50The role of AI in structural seismic interpretations – potential and pitfalls – Nicole Grobys (WintershallDEA)
11:10Some Challenges and Solutions in AI for Seismic Interpretation – S. Xinming Wu (University of Science and Technology of China)
11:30 Round table discussion
11:45Lunch break
12:35TerraSight and StrataFlux: new attributes for ML-assisted seismic interpretation. – Sergey Fomel (The University of Texas at Austin)
12:55But what about subtle faults and fractures? – Victor Aarre Madsen(Firda Geo)
13:15Assessing the Sufficiency of Training Datasets for Deep Neural Networks: Techniques and Insights – Tanya Colwell (Geosoftware)
13:35Property Prediction from Seismic with Neural Networks - Learnings from an 8-year Journey– Eirik Larsen ( Earth Science Analytics)
13:55Machine Learning-based seismic inversion methods - Arnaud Huck (dGB Earth Sciences)
14:15Round table discussion
14:30Coffee Break
Topic 5: AI in the New Energy Transition
14:40Leveraging Interactive Deep Learning for Rapid Detection of Quaternary Lithotypes in Ultra-High Resolution Seismic Data: A Case Study from Offshore Netherlands Scotty Salamoff (Bluware )
15:00AI Solutions to Cost-Effective CO2 Monitoring – G. Wenyi Hu (Slb)
15:20Workshop summary - feedbacks / next steps