Optimal Deghosting

Wavefield separation technique for the deghosting of over-under or dual-measurement marine streamer data

Tailored broadband seismic data that meets your exploration needs

Our optimal deghosting (ODG) technique removes receiver-side ghost notches in the seismic bandwidth, particularly for deep-towed cables. It boosts frequency content at both the high and low ends of the spectrum, providing you with tailored broadband seismic data for your exploration needs. Whether ODG is used on single- or multimeasurement data, it produces a fully deghosted seismic dataset with an optimal S/N ratio and improved frequency content. This technique is ideal for structural imaging, inversion, and rock property characterization.

Addresses both the low and high ends of the frequency spectrum

ODG was originally developed for combining pressure wavefields acquired by combinations of hydrophone-only streamers from over-under or similar acquisition types. ODG can also be applied to combine pressure (P) and vertical velocity (Z) data recorded by multimeasurement marine streamers. In both cases, ODG removes the receiver-side ghost and extends the recorded bandwidth of your data at both the low and high ends of the frequency spectrum.

We have successfully used ODG on numerous projects worldwide, including on marine seismic data from India, Australia, Malaysia, South Africa, the North Sea, and Canada.

Improves signal-to-noise ratio while extending data bandwidth

Our optimal deghosting improves the signal-to-noise (S/N) ratio of your marine streamer data, especially at lower frequencies. To accomplish this, it removes the phase distortion generated by the receiver-side ghost by dephasing the wavelet. It then sums the two dephased measurements and deterministically shapes the data to obtain the upgoing wavefield. ODG can also be used on the pressure and velocity data in combination with PZ summation. The result is a hybrid deghosting process that is robust to rough sea conditions and prevents excessive noise from contaminating the solution at low frequencies. This approach can be extended to a 2.5D solution when used on datasets with a wide marine spread.