Workshop 8
Elastic FWI What For? Monday, June 2nd |
Convenors
- Bertrand Duquet (TotalEnergies)
- Gilles Lambaré (Viridien)
- René-Edouard (Plessix)
Description
With the constant increase of HPC capabilities, elastic FWI has rapidly progressed over the last decade and is today used at industrial scale. Elastic FWI however covers different levels of complexity: from modeling only partly the elastic propagation (e.g. only in major model heterogeneity such as salt bodies), elastic propagation but limited to inversion of model perturbations using only P component of data, to the full multi-parameter elastic inversion of multi-component data at the reservoir inversion scale. The level of complexity used depends on the objective to achieve – from improved structural imaging to precise reservoir characterization – and on the type of seismic acquisitions considered (land/marine, mono-component/multi-component). We propose during this workshop to focus on assessing the added value of elastic versus acoustic FWI in terms of velocity model building and imaging.
Participant Profile
Researchers, practitioners, students, and decision makers interested in better understanding the value and challenges of elastic FWI.
Workshop Programme
Coming Soon!
| 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 |
