Attribute based automatic GPR reflection picking

What is it about?

We propose a procedure to automatically detect, pick and characterize reflections in seismic and ground penetrating radar (GPR) data sets. We use an attribute calculated from the original data (cosine of the instantaneous phase) to track events having lateral phase continuity and records them in terms of time-space positions, amplitude and polarity. We can further accurately recover the polarities that allow recovery of the impedance contrasts in the subsurface and so evaluation of the physical properties of the subsurface materials.

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Why is it important?

Interpreting large amounts of GPR data, e.g. in large 3-D or 2.5-D surveys, may be a demanding task: our method provides a fast and accurate solution that can be exploited to prepare the input to inversion algorithms and reduces the subjective component of the interpretation process.

Perspectives