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.
35,000km2 Cornerstone contiguous broadband PSDM data with added-value Facies Finder and PPP products to help pinpoint the best prospects
Reveal intricate velocity details for the clearest images. Harness seismic low frequencies from BroadSeis, StagSeis, seabed and land data.
Least-Squares Migration provides images with better balanced illumination, improved signal-to-noise ratio, reduced migration artifacts and more interpretable seismic amplitudes.
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