REVIVE 5D Interpolation
The CGG REVIVE5D algorithm is of particular benefit to land, seabed and wide-azimuth surveys. A global multidimensional interpolator fills gaps in coverage and increases spatial sampling density, while preserving original recorded data.
Up to five interpolation dimensions can be used to infill gaps, increase fold and improve offset-azimuth distribution, especially in areas of complex structure. More dimensions make the model of the data more accurate and the interpolation more effective. This results in improved images as geometry-related migration artefacts are minimised. It also gives cleaner, regularly populated pre-stack gathers with preserved AVO and AVAZ characteristics for reservoir and fracture characterization.
- High-fidelity pre-stack interpolation in five dimensions - for example inline, crossline, offset, azimuth and frequency
- Preserves original recorded data while predicting new shots and receivers at desired locations
- Honours amplitude variations with offset (AVO) and azimuth (AVAZ)
- Applications for:
- Infilling gaps
- Decreasing bin size
- Improving azimuth-offset distribution
- Survey merging to a defined grid and bin size
- Wide-azimuth surveys
- Mitigates effects of acquisition constraints
- Higher fold and reduced gaps for improved imaging results
- More complete and uniform offset-azimuth distribution for improved pre-stack AVO and AVAZ analysis
- Enhances 4D analysis with regularization to common grid and bin size
Plots of shot (red) and receiver (blue) locations for a land dataset with irregular acquisition. Note the river running north-south through the centre of the survey area. After interpolation of additional shot and receiver locations the gaps have been filled and the fold has been boosted and equalised. This will result in more uniform amplitudes after migration and allow a decrease in bin size to improve resolution.
Data courtesy of GDF, SUEZ, ExxonMobil, Wintershall and EWE.