Mauricio Gabriel Orozco-del-Castillo

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Since interpretation of seismic data is usually a tedious and repetitive task, the ability to do so automatically or semi-automatically has become an important objective of recent research. We believe that the vagueness and uncertainty in the interpretation process makes fuzzy logic an appropriate tool to deal with seismic data. In this work we developed a(More)
In this work two novel image processing techniques are applied to detect and delineate complex salt bodies from seismic exploration profiles: Hough transform and principal component analysis (PCA). It is well recognized by the geophysical community that the lack of resolution and poor structural identification in seismic data recorded at sub-salt plays(More)
and<lb>Applied Analysis Hindawi Publishing Corporation<lb>http://www.hindawi.com<lb>Volume 2013 ISRN<lb>Applied<lb>Mathematics Hindawi Publishing Corporation<lb>http://www.hindawi.com<lb>Volume 2013<lb>Hindawi Publishing Corporation<lb>http://www.hindawi.com<lb>Volume 2013<lb>International Journal of<lb>Combinatorics Hindawi Publishing(More)
We present a novel method to enhance seismic data for manual and automatic interpretation. We use a genetic algorithm to optimize a kernel that, when convolved with the seismic image, appears to enhance the internal characteristics of salt bodies and the sub-salt stratigraphy. The performance of the genetic algorithm was validated by the use of test images(More)
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