A section through an RTM using conventionally processed data versus FWI imaging directly from field data. Least-squares, full wavefield imaging means that FWI is able to better illuminate target events in the sub-salt region as well as in the sedimentary sections.
A section and depth slice through a conventional processed Kirchhoff image versus FWI imaging. FWI delivers a clear resolution increase thanks to the full-wavefield least-squares imaging. (BEX MC3D data courtesy of Multi-Client Resources)
A depth slice through a conventional processed Kirchhoff image versus FWI imaging. FWI delivers a clear resolution increase thanks to the full-wavefield least-squares imaging. (BEX MC3D data courtesy of Multi-Client Resources)
The initial velocity model and FWI updated model in 3D. Note the clear increase in detail introduced by FWI. (BEX MC3D data courtesy of Multi-Client Resources)
Our unique augmented acoustic wave equation isolates the “roo ears” to deliver simultaneous high-resolution velocity updates and least-squares imaging. At high frequency, this revolutionary approach provides reflectivity images for both structural and quantitative interpretation (including angle stacks for AVA analysis), without the need for a conventional processing and imaging workflow. A full-wavefield least-squares imaging solution using field-data input that simultaneously handles deghosting, demultiple and designature.
FWI inverts for high-resolution earth models using the entire seismic wavefield. It is an integral part of our depth model-building strategies for conventional imaging workflows.
Starting velocity model and final model after FWI. Depth slice and inline with migrated stack overlaid with the respective velocity model. In this OBN example the shallow channels are well resolved after FWI, correcting the imaging distortions at depth. (Data courtesy of Carbon Transition and TGS)
Before and after FWI. Smooth starting velocity model prior to FWI (left) and after FWI, co-rendered with the seismic data (right). (Data courtesy of Shell NZ).
FWI using both high-resolution streamer data and sparse OBN data. Velocity updates beyond 5 km depth are achieved thanks to the long offset diving wave penetration of the OBN data. (LumiSeisTM data courtesy of MCG)
Designed for geoscience, not computer science. Backed by some of the greenest HPC on the planet.
Diving wave penetration QC. The white “bananas” demonstrate the maximum depth of update expected from diving wave FWI.
