Using XWITM to define and quantify the target layer formation in a producing field.
S-Cube delivering breakthrough capability for waveform inversion of seismic data
Use XWITM to gain a step-change in the resolution of your rock property velocity model
XWI Parameter Learning
- Fully automated data-in model-out optimisation framework for deriving the most detailed and accurate best-fit velocity volume from recorded seismic data.
- The toolbox integrates CWI and RWI with the AWITM and FWI cost functions for adjusting model training weights to predict seismic field recordings.
- The result is more accuracy, more predictive power, more automation starting further away from the true answer.
A set of 3D field deployments comparing the velocity resolution achieved by waveform inversion relative to standard tomographic techniques.
Industry Awards and Measures of Esteem
Academic founders internationally recognized as leaders in the field
Woodside AWI deployment in Myanmar
Statoil AWI deployment in the North Sea
Run XWI on the Cloud
Discover an unprecedented increase in the resolution of your velocity model.