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