Our clients reliably assess risk, validate testing and make exploration decisions with greater confidence with ION’s leading-edge Image Uncertainty Estimation technology.
ION’s Image Uncertainty Estimation is an advanced imaging workflow that quantifies the positional uncertainty of a given velocity model and its associated seismic image. Our Bayesian uncertainty analysis enables more effective velocity model building and interpretation decision making by quantifying and mapping structural uncertainty from PreSDM data.
By examining the tomographic operators used in velocity model building, ION extracts the most dominant sources and contributions to error, creating a probabilistic distribution of where any given event may be. We use this error to create surfaces of confidence around an event, fault or surface closure, enabling imaging geophysicists to validate their testing and providing our clients with greater confidence in interpretation activities.
The ION Advantage: Our Image Uncertainty Estimation Methods
- Randomly perturb the residual moveout (RMO) remaining in migrated gathers after several model updates of tomography or full waveform inversion.
- For each set of randomly perturbed RMO values, we perform a tomographic update to construct a suite of perturbed models bounded by these randomly modified RMO errors.
- Finally, for a chosen surface, we perform a map de-migration (just once), followed by successive map migrations of that horizon (for each of the perturbed models), producing a spatial distribution of possible positions for the surface.
This ensemble of models would again then be used in conjunction with map migration to assess the effect of this parameter model variability on image position for a picked horizon.