Stochastic Signal Processing > Spatial Data Conditioning

Stochastic Data Conditioning, or S D C, enables to maximize the contribution of geophysical data sets before engaging in further geophysical workflows. S D C offers a more robust alternative to usual deterministic noise filtering. S D C is about best estimating the spatial components from geophysical data sets that contribute to the workflow.

Usual filters are sensitive to the choice of the filter and to its parameterization, and the quality of results is determined subjectively. SDC optimizes the parametrization of the filter and quantifies its performance with reliable confidence intervals.

The S D C flowchart is detailed for conditioning time interpretation input to depth conversion and a second example is given of the conditioning of pre stack gathers for improving AVO attribute computation.