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Technical Paper: The optimal deghosting algorithm for broadband data combination

Society: SEG
Paper Number:
Presentation Date: 2009

Download: The optimal deghosting algorithm for broadband data combination (0.30 MB PDF)

Data acquisition with concurrently towed shallow and deep streamers leads to deeper penetration and increased resolution. These benefits are achieved by using data processing algorithms that combine data acquired at different depths into a single dataset. However, the conventional algorithms used for this purpose do not consider the presence of noise. We present the optimal deghosting (ODG) algorithm which increases the bandwidth by optimizing the signal-to-noise ratio (SNR) of the combined data. The ODG algorithm estimates the statistics of the noise on shallow and deep streamers and minimizes the residual noise on the deghosted data in a least-squares sense. Hence, by optimally combining the data from streamers at different depths, the ODG method results in a broad bandwidth with enhanced low-frequency response and optimal SNR.

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