SEISCOPE Annual Meeting 2026



The SEISCOPE annual meeting took place in March, at the Auditorium IMAG and ISTerre, bringing together researchers working on seismic imaging and Full Waveform Inversion (FWI).

Over the course of the event, participants attended a rich program combining scientific presentations and training sessions. The talks covered recent advances in seismic data processing, numerical methods, and large-scale simulations, along with applications ranging from geophysical exploration to environmental and medical imaging.

A Diverse Scientific Program

The meeting featured sessions focused on cutting-edge developments in FWI. Highlights included work on Scholte waves analysis, multi-parameter elastic inversion, and GPU-accelerated large-scale simulations.

The program also explored a range of practical applications, including :

  • Time-domain approaches to FWI
  • Case studies such as the Valhall and Gorgon datasets
  • Advances in multi-component seismic data processing
  • Emerging perspectives on uncertainty quantification and gradient flows


Group photo SEISCOPE Meeting 2026
Interdisciplinary Applications and Perspectives

The program emphasized broader applications of seismic methods, including CO₂ monitoring, hydrological studies using ambient noise, and medical imaging through visco-elastography techniques. Additional contributions addressed field applications and challenges related to complex geological settings.


The meeting also included forward-looking presentations on mathematical frameworks for elastodynamics, high-performance computing developments such as the SEISCOPE orchestrator, and updates on the SEISCOPE code and associated training activities.

A Collaborative Success

The event once again demonstrated the strength of the SEISCOPE community, fostering collaboration between geophysicists, applied mathematicians, and computational scientists, and reinforcing connections between theory, computation, and real-world applications.



<p>Valentin Cassayre - Time-domain polarization-based multi-component FWI : from 2C to 3C data</p> <p>Bruno Pereira Dias - Application to the Tupi OBN dataset : elastic reconstruction from the hydrophone up to 21 Hz</p> <p>Kai Xiong - Exploiting Scholte Waves from the dense OBC Valhall dataset : from dispersion curve analysis to FWI</p> <p>Ludovic Métivier & Philippe Marchner</p> <p>Marc Benziane - A time-domain receiver extension approach to FWI : application to the 3D OBC Valhall dataset</p> <p>Philippe Marchner - When FWI meets gradient flows : an outlook on uncertainty quantification</p> <p>Serge Sambolian - A tour of the Gorgon case study : status and perspectives for multi-component FWI</p> <p>Bruno Pereira Dias - Application to the Tupi OBN dataset : elastic reconstruction from the hydrophone up to 21 Hz</p>