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Abstract

By the early ‘90s we were focused on how to produce a good and stable stacked section, then we would post-stack migrate our volumes. Spatial resolution was related to bin size. Designs were driven by considerations of desired fold (determining line spacings) and post-migration resolution (determining bin size). Design philosophy could be summarized as: “design parameters that will produce a good stacked data volume, and account for the fact that post-stack migration will steepen dips and require smaller stacked trace intervals, therefore smaller bins”. With Pre-stack time migration we realized that fold and bin-size were not the most important driving factors. Producing a data set that provides good sampling of migration operators in all domains will allow the migration process to output data of maximum resolution. Output trace spacing is not limited to bin size. Design philosophy shifted from a focus on fold and bin-size to a focus on trace density and statistical diversity (in offsets, azimuths and midpoints). In other words: “design parameters that deliver what is needed by a pre-stack migration operator and then let the migration produce the image we need”. Now based on 5-component COV matrix completion data reconstruction, we can restate our objective as: “design parameters that deliver what is needed for robust interpolation, then the interpolator will provide the traces needed by a pre-stack migration operator and then the migration will produce the image we need”.

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/content/papers/10.3997/2214-4609-pdb.330.157
2012-07-29
2021-11-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.330.157
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