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- W2092625179 abstract "Almost every 3-D seismic survey contains artifacts that affect seismic imaging, seismic interpretation, and ultimately estimates of reservoir properties. These artifacts, apparent in amplitude and frequency, can be attributed to • Seismic acquisition and/or processing parameters (periodic artifacts, e.g., inline striping on marine data) • Geologic factors in the overburden (non-periodic artifacts, e.g., shallow-gas shadowing) It is highly desirable to be able to remove the artifacts from the post-stack seismic data with an inexpensive filtering operation. In this presentation we will introduce a new technique for filtering 3-D seismic data to remove artifacts and show examples using synthetic models and actual data. The technique has been developed, tested, and applied to synthetic and actual 1-D, 2-D and 3-D signals. The technique, nicknamed “Bellocchio” (loosely translatable as “Sharp Eye”), is composed of two main parts: detection and mitigation. The fundamental assumption behind the technique is that for features to be clearly labelled as artifacts they need to have consistent vertical and spatial non-geological patterns. The identification and preliminary quantification of such patterns require a sharp vision through the seismic data. The technique is very general and can remove periodic and non-periodic artifacts provided that we have available an estimate of the spatial character of the perturbations (artifacts) and that the perturbations are additive to the true geological conditions in the subsurface." @default.
- W2092625179 created "2016-06-24" @default.
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- W2092625179 date "2002-01-01" @default.
- W2092625179 modified "2023-09-27" @default.
- W2092625179 title "Bellocchio: A new technique for detecting and mitigating artifacts from seismic data" @default.
- W2092625179 cites W196128709 @default.
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- W2092625179 doi "https://doi.org/10.1190/1.1816955" @default.
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