A new approach to seismic reservoir characterisation

The technology portfolio of Delft Inversion creates a number of opportunities to operators of oil&gas, geothermal and CO2 storage projects. While we are driven by innovation, translating technology into economic value is of vital importance to us.

Technical benefits

  • Less reliant on user-intensive building of an accurate low-frequency model
  • Typical bandwidth of final compressibility volumes is in the range of 4Hz or lower, totally derived from the input seismic data
  • The above usually translates to savings of two weeks of human/computer time compared to other commercially available solutions
  • Deliverables are reservoir models in terms of compressibility and shear compliance which discriminate lithology and fluid effects most successfully
  • The above models can be more easily integrated into reservoir modelling studies and flow simulations
  • Closing the loop between geoscience and reservoir engineering

Operational benefits

  • Reduce seismic processing time by 30% – No AVO processing
  • Provide an 80% reservoir model solution immediately after processing – No need to wait for full field appraisal
  • More efficiently de-risk exploration/farm-in/acquisition opportunities
  • More accurate GRV estimates



By solving the wave-equation, multiples, mode conversions and transmission effects are properly handled over the inversion interval and consequently, WEB-AVO becomes the seismic reservoir characterisation tool with the most realistic physical data model. The seismic reservoir community does not longer have to rely on simplifications of seismic wave-propagation as primary reflections only and convolutional data models.

Another truly unique feature of WEB-AVO is its parameterisation. While conventional techniques translate seismic data into impedances and Vp/Vs volumes, WEB-AVO directly solves for compressibility (inverse of bulk modulus) and shear compliance (inverse of shear modulus). It turns out that these parameters are three times more sensitive to changes in lithology and pore fluids (oil, gas, brine) and this improved discrimination power gives you a real head-start for your QI challenges to be addressed.