Seismic decomposition
A set of seismic decomposition methods with automatic frequency selection and support for amplitude and offset analysis.
What is included
- Spectral decomposition methods
- Automatic decomposition frequency selection
- Amplitude decomposition
- Offset decomposition
Outcome
- Fast frequency selection for RGB composites
- Less manual parameter trial and error
- Preparation of an attribute set for further interpretation
RGB-visualization
Three-channel blending of seismic attributes and frequency cubes with display parameter controls in one window.
What is included
- RGB visualization of data
- Color and tone presets
- Brightness, contrast, saturation, and sharpness adjustment
- Automatic color blending adjustment
Outcome
- Fast creation of RGB visualizations for seismic interpretation
- Selection and comparison of different three-channel blending variants
Geobody analysis and extraction
Interactive AI geobody extraction followed by morphometric analysis of the result.
What is included
- Interactive AI geobody extraction
- Morphometric analysis (length, width, curvature, area, etc.)
Outcome
- Faster object extraction
- Morphometric metrics inside one workflow
- Less manual tracing of bodies
Resolution enhancement for thin-bed tracking
A workflow for vertical resolution enhancement with deterministic Wavelet calculation and subsequent post-processing of the result.
What is included
- Calculation with deterministic Wavelet
- Post-processing: structural smoothing, frequency filtering
Outcome
- Resolution enhancement for thin-bed tracking
- A cleaner section after post-processing
- Better agreement between seismic data and wells
Seismic facies analysis
Seismic facies analysis both across the area and within individual geobodies.
What is included
- K-MEANS clustering by waveforms
- Spectral clustering
- Attribute clustering
Outcome
- Seismic facies analysis across the area
- Seismic facies analysis within individual geobodies
- Data preparation for subsequent inversion
Initial model building
Initial model building for inversion with automatic variogram parameters tuning and QC by structural framework slices.
What is included
- IDW, Kriging, Simulation methods
- Automatic variogram parameters tuning
- QC by structural framework slices
Outcome
- A prepared starting model for inversion
- Control of model consistency across the framework
- Less manual tuning of geostatistical parameters
Acoustic inversion
An acoustic inversion workflow with several formulations and automatic parameters tuning.
What is included
- Model-based
- Sparse-Spike
- Structurally oriented
- Automatic Parameters Tuning
Outcome
- Calculation of acoustic properties
- Stable inversion parameter tuning
- Preparation of results for further interpretation
Simultaneous inversion
A simultaneous inversion workflow with several formulations and automatic parameter tuning.
What is included
- Model-based
- Sparse-Spike
- Structurally oriented
- Automatic Parameters Tuning
Outcome
- Advanced parameter set for dynamic interpretation
- Preparation of inversion-derived attributes as input features for subsequent machine-learning-based prediction
