Full Waveform Inversion

Multi-parameter FWI Imaging: A seismic shift.

Multi-parameter least-squares imaging powered by FWI.

Built for research and production at high frequency with huge datasets on HPC. Leverage superior physics and reduce turnaround time for subsurface characterisation.

A comparison between imaging results in a complex salt environment, offshore Gulf of Mexico. Conventional reverse time migration (RTM), after pre-processing & regularisation versus DUG MP-FWI Imaging result using field-data input. Superior resolution. Superior imaging. (Data courtesy of Shell)

A section and depth slice through a conventional processed Kirchhoff image versus DUG MP-FWI Imaging. MP-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 DUG MP-FWI Imaging. MP-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)

MP-FWI Imaging can simultaneously estimate a high-frequency, true-amplitude reflectivity (top) & an accurate velocity model (bottom) using raw field data. Complex geological features are resolved through the novel, iterative least-squares, multi-scattering inversion. (BEX MC3D data courtesy of Multi-Client Resources)

Multi-parameter FWI Imaging

Obtain unrivalled results faster with our Multi-parameter FWI (MP-FWI) Imaging technology. Simultaneous model building and high-frequency, least-squares imaging deliver accurate, high-resolution Earth models using field-data input—without the many time-consuming, subjective, serial steps of a conventional processing and imaging workflow. At high frequency, this revolutionary approach provides reflectivity images for both structural and quantitative interpretation, including angle stacks for AVA analysis.

  • Powerful physics
  • Rapid turnaround
  • Superior imaging using field data
  • Simultaneous model building and least-squares imaging
  • Significantly better illumination by using more signal (multiples, ghosts, and prismatic waves)
  • Joint inversion for reflectivity, velocity, anisotropy, source signatures, and attenuation 
  • Full offset and angle stack (AVA) outputs

Model building with FWI

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.

  • Model updates using diving waves (bananas) and reflections (roo ears)
  • Invert for source wavelets, velocity, anisotropy, Q

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)

The engine room

Designed for geoscience, not computer science. Backed by some of the greenest HPC on the planet.

  • Loop-skipping mitigation
  • Integrated footprint removal
  • Multi-survey and multi-acquisition geometry compatible
  • Accelerated convergence using machine learning techniques
  • Domain decomposition
  • Bespoke functionality for marine (both shallow and deep water), land and ocean bottom surveys
  • Designed for HPC – computer science and hardware interactions are managed by the software for maximum robustness and efficiency

Quality control

  • Integrated QC products and data manipulation with complete control of dataflow pipeline
  • QC maps (including quantitative measures of objective function and phase)
  • Synthetics-only (forward modelling) mode
  • Independent source-wavelet inversion
  • Diving-wave depth of penetration

Diving wave penetration QC. The white “bananas” demonstrate the maximum depth of update expected from diving wave FWI.

P-impedance. Warmer colours represent lower values. Simultaneous AVA inversion results using pre-stack reflectivity inputs from conventional processing and imaging (time pre-processing and Kirchhoff depth migrations) versus DUG MP-FWI Imaging using field-data input. (BEX MC3D data courtesy of Multi-Client Resources)

Vp/Vs ratio. Warmer colours represent lower values. Simultaneous AVA inversion results using pre-stack reflectivity inputs from conventional processing and imaging (time pre-processing and Kirchhoff depth migrations) versus DUG MP-FWI Imaging using field-data input. (BEX MC3D data courtesy of Multi-Client Resources)

Gas probability after fluid and lithology prediction using a Bayesian classification framework. High probability is shown in red. Qualitatively the results are very similar—but note the vastly different workflows to get to each result. (BEX MC3D data courtesy of Multi-Client Resources)

Crossplots (prepared in exactly the same way) for each respective set of inverted rock properties. PDFs of modelled fluid and lithology combinations are also depicted. Note the MP-FWI results have produced less scatter (or higher signal-to-noise ratio) which translates to less uncertainty. (BEX MC3D data courtesy of Multi-Client Resources)

Quantitative interpretation

Quantitative interpretation requires true amplitudes and high signal-to-noise ratio. Our MP-FWI Imaging technology delivers superior pre-stack amplitude vs angle outputs for lithology and fluid prediction.

Superior results, faster. Let’s talk.

Download Brochure Contact Sales Explore Resources