Emc IP Holding Company LLC

Noel Moreno Lemus

Angelo E M Ciarlini

Percy E Rivera Salas

Fábio A Perosi

Fabio A M Porto

Methods and apparatus are provided for automatically identifying possible faults in large seismic datasets. An exemplary method comprises obtaining the seismic data; calculating a coherence cube of the seismic data; performing the following steps for a plurality of two-dimensional seismic sections of the coherence cube: (i) applying a threshold to the coherence cube to obtain a binary image representation comprising continuities; (ii) identifying edges of continuity areas in the binary image representation to identify changes in the continuities as fault point candidates; (iii) identifying fault points in the obtained seismic data based on a fault confidence value indicating a likelihood that a given point is part of a fault; (iv) creating one or more fault segments from the identified fault points; and (v) joining fault segments into fault lines using geological and/or geometrical constraints; and generating three-dimensional fault surfaces from the fault lines in the plurality of two-dimensional seismic sections. The exemplary automatic fault detection method can be parallelized.

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Rio de Janeiro, Brazil

Noel Moreno Lemus