Unique approaches to seismic interpretation

Extract geobodies with just a few user clicks, with further editing capabilities and export of the result as a grid model.

Each extracted object can be analyzed using morphometric parameters such as area, length, width, curvature, and other shape-related attributes.

Generate seismic facies distribution maps using unsupervised machine learning methods. The analysis may include waveform data, user-defined attributes, and spectral signal characteristics. Computations are supported along a horizon, between multiple horizons, and within a stratigraphic slicing framework.

Each seismic facies class can be interactively analyzed in terms of its probability of occurrence within the target interval.

Automatic parameter selection adapts spectral decomposition to each time interval of the seismic section. Users obtain optimal frequency-domain representations without manually tuning parameters for individual layers. The results can be saved as floating-frequency cubes and used for stratigraphic slicing analysis.

Users can view RGB blending maps of amplitudes or frequencies along stratigraphic slices on the fly.

The software includes a set of advanced high-resolution spectral decomposition algorithms, including CLSSA, EEMD, and Matching Pursuit. High-resolution analysis helps identify geological bodies that may remain unresolved using conventional approaches.

Users can build an initial low-frequency elastic-property model with on-the-fly quality control before running the full calculation. QC is performed while browsing through stratigraphic slices, enabling rapid detection of bullseye artifacts.

Users can perform acoustic and simultaneous seismic inversion, including MBI and CSSI workflows. Automatic parameter selection based on a genetic algorithm is supported to streamline calculation setup.