TomoML is a new, ray-based, multi-layer approach to reflection tomography. It replaces layer-stripping tomography with an efficient new workflow which performs a simultaneous update of the entire model in a single pass. Major velocity contrasts are intelligently repositioned, thus avoiding issues of incorrect horizon positions seen with conventional global tomography.
A custom hybrid velocity model format has been developed for TomoML. It defines the velocity and anisotropy parameters for each layer as a mesh. Layer boundaries are accurately represented by bounding horizons. Tomography parameters can be individually tailored for each layer to make the most of available Residual Move Out (RMO) information and well data.
- Improved seismic images with less reflector distortion
- Improved model accuracy with fewer non-geologic anomalies
- Inter-layer communication - all layers contribute to the inversion, improving stability
- No restrictions during model building, update any layer at any point
- PSDM test lines always fully imaged to target level
- Tornado Facet QC aids the choice of best tomography results
- Potentially fewer iterations required for a typical PSDM project
- Potentially less client re-interpretation effort
This example from the Dutch North Sea demonstrates the benefits from using TomoML (B)
compared to a conventional layer stripping approach (A). Layer stripping tomography shows
distortion in the Mid-Cretaceous (blue circle) and below the Base Cretaceous Unconformity
there is poor reflector continuity (blue arrow). TomoML resolves these issues.
Data courtesy of Tulip Oil Netherlands B.V., PA Resources UK Ltd and EBN B.V.