Identifying Reflectors in Seismic Images via Statistic and Syntactic Methods
Carlos A. Perez, German Y. Ojeda
In geologic interpretation of seismic reflection data, accurate
identification of reflectors is the foremost step to ensure proper
subsurface structural definition. Reflector information, along
with other data sets, is a key factor to predict the presence of
hydrocarbons. In this work, mathematic and pattern recognition
theory was adapted to design two statistical and two syntactic
algorithms which constitute a tool in semiautomatic reflector
identification. The interpretive power of these four schemes
was evaluated in terms of prediction accuracy and
computational speed. Among these, the semblance method was
confirmed to render the greatest accuracy and speed. Syntactic
methods offer an interesting alternative due to their inherently
structural search method. Full Text
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