A robust framework for GeoTime cube

This paper presents a robust unsupervised framework for 3D seismic data flattening. The resulting volume, called GeoTime cube, brings to light history of sedimentary deposits which is a key issue in petroleum prospecting. The proposed method makes it possible to obtain the transformation by transcri...

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Bibliographic Details
Main Authors: Toujas, V., Donias, M., Jeantet, D., Guillon, S., Berthoumieu, Y.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic imaging
Data mining
Flattening
Geology
Geophysics computing
GeoTime
Image processing
Image reconstruction
Partial Differential Equations
Petroleum
Robustness
Seismic imaging
Stacking
Surface reconstruction
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Description
Summary:This paper presents a robust unsupervised framework for 3D seismic data flattening. The resulting volume, called GeoTime cube, brings to light history of sedimentary deposits which is a key issue in petroleum prospecting. The proposed method makes it possible to obtain the transformation by transcribing fundamental principles of geophysics in image processing. The first step is a sedimentary layer reconstruction, the second one consists in numbering them according to their relative geological age and the last one computes a transformation in order to clearly represent them in a flattened way. Finally, the results obtained by our method compared to an existing one show that many relevant information can be extracted from GeoTime cubes and the final flattened data enhances the seismic structures identification.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2008.4712146