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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

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.

Case Studies

A set of 3D field deployments comparing the velocity resolution achieved by waveform inversion relative to standard tomographic techniques.

Chevron

Chevron NATS field data

Using XWITM to define and quantify the target layer formation in a producing field.

Statoil

Equinor OBC field data

Using XWITM to capture details of a gas accumulation filled with fluid escaped from an underlying reservoir.

Woodside

Woodside NATS field data

Using XWITM in exploration to reveal a prospect and pre-drill define its geometry. 

Woodside FutureLab

Woodside discusses S-Cube FWI methodology and its application in Myanmar. 

Industry Awards and Measures of Esteem

Academic founders internationally recognized as leaders in the field

Distinguished Awards

 

Award for Adaptive Waveform Inversion

2015 Guido Bonarelli Award

 

Award for advances in Full Waveform Inversion

2013 Best Paper in Geophysics

 

Key Presentations

 

Woodside AWI deployment in Myanmar

Full-bandwidth adaptive waveform inversion at the reservoir (2017)

 

Statoil AWI deployment in the North Sea

Imaging Beneath a Gas Cloud in the North Sea without Conventional Tomography (2017)

S-Cube Cloud

Run XWI on the Cloud

Discover an unprecedented increase in the resolution of your velocity model.