Multiple Attenuation | SLB

Multiple Attenuation

Extensive portfolio to address your multiple-attenuation challenges

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Reducing multiple contamination in data is one of the greatest challenges in seismic processing, and no single approach is suitable for all scenarios. We offer an extensive portfolio of prediction and adaptive subtraction methods that address surface and internal multiples. Based on your survey challenges and processing goals, appropriate methods from this portfolio can be used to obtain the optimal solution.

Prediction methods

Currently, data-driven algorithms are the preferred prediction methods for modeling internal and surface multiples. When the prerequisites for these algorithms are difficult to satisfy, model information or transform methods are used instead.

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Our portfolio