Workshop Description

Traditional single-parameter imaging and inversion, which has historically been relied upon for the bulk of seismic processing applications, is now understood to be too limiting when recovering quantitative information about subsurface properties. In particular, constant-density acoustic model-based approaches are being superseded by methods that incorporate angle-dependent reflectivity, variable density, elasticity, attenuation, and even poro-elasticity. The objective of this workshop is to review these recent advances and to better understand the most successful strategies, as well as the inherent limitations of imaging/inversion with seismic data as it is currently acquired.

1. What types of acquisition geometries (towed-streamer marine, OBS, VSP, DAS, land) and 
datatypes (single- and multi-component) are required for accurate recovery of various
subsurface properties?
2. What are the recommended parameterisations and strategies for resolving the intrinsic 
ambiguity between various elastic properties?
3. What are the recommended computational strategies (e.g., second-order optimization 
methods)for decoupling possible trade-offs between parameters?
4. How can we use our geophysical understanding of seismic data to select the most 
appropriate subsets and types of data to retrieve the desired information?
5. Which regularization strategies are the most effective? What role can machine learning play 
in reducing the null-space and incorporating rock-physics and geological priors?
6. Can uncertainties and trade-offs be quantified for large-scale 3D imaging and inversion
applications
7. What real-life examples illustrating both successes and challenges of multi-parameter 
inversion and imaging do we have?
8. What impact can quantitative recovery of previously neglected elastic properties have on 
making better business decisions?

Researchers, practitioners, students, and decision makers interested in better understanding how quantitative seismic imaging and inversion can unlock additional value hidden in seismic data.  

Workshop Programme

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