Multiple Attenuation

Overview Library

An extensive portfolio to deal with all eventualities

No single demultiple approach fits all scenarios. We have an extensive portfolio of demultiple algorithms and innovative workflows. In practice, these methods may be combined and cascaded to obtain the optimum solution.

3D Demultiple Portfolio

Deterministic Water-layer Demultiple (DWD)

Weighted Least-Squares (WLS) Radon Demultiple

Weighted least-squares (WLS) Radon transforms for better attenuation of multiple energy.

All of these techniques produce a model of the noise which is then subtracted from the input data. Adaptive subtraction technology is used to optimize this step, maximizing multiple attenuation, while preserving primary amplitudes.

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Imaging Beyond Imagination

Signal Processing and Data Collection
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