PROVIDING AN OBJECTIVE FUNCTION BASED ON VARIATION IN PREDICTED DATA
An objective function is based on covariance of differences in predicted data over multiple sets of candidate model parameterizations that characterize a target structure. A computation is performed with respect to the objective function to produce an output. An action selected from the following ca...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Patent |
Sprache: | eng ; fre ; ger |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | An objective function is based on covariance of differences in predicted data over multiple sets of candidate model parameterizations that characterize a target structure. A computation is performed with respect to the objective function to produce an output. An action selected from the following can be performed based on the output of the computation: selecting at least one design parameter relating to performing a survey acquisition that is one of an active source survey acquisition and a non-seismic passive acquisition, and selecting a data processing strategy. |
---|