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Footprint removal using adaptive subtraction algorithms for seismic attribute quality enhancement: A case study of Anadarko Basin Red Fork incised valley system. |
| ID |
46 |
| Title |
Footprint removal using adaptive subtraction algorithms for seismic attribute quality enhancement: A case study of Anadarko Basin Red Fork incised valley system. |
| Authors |
Oswaldo Davogustto, Yoscel Suarez, Kurt J. Marfurt |
| Authors detail |
ConocoPhillips School of Geology & Geophysics, The University of Oklahoma, Norman, Oklahoma |
| Publication |
SEG Expanded Abstract |
| Publication Detail |
|
| Volume |
Nov-09 |
| Year |
2009 |
| Abstract |
Acquisition footprint often poses a major problem in land 3D seismic data. Some of the causes for footprint are constraints on survey design, backscattered noise, lateralvariations of fold, offset, and azimuth distributions, and spatial aliasing. Faced with extracting subtle features contained in seismic amplitudes, interpreter is often confronted with footprint that can mask important details critical to the identification of key reservoir properties. In this paper, we show the results of footprint suppression using adaptive subtraction to enhance the data quality of a survey acquired over a Red Fork incised valley complex without removing ?geological features? of interest. |
| Keywords |
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| Status |
Accepted |
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