PZ Summation of 3D WAZ OBS Receiver Gathers

Hugonnet, P.; Boëlle, Jean-Luc; Herrmann, P.; Prat, Federico; Lafram, A.

doi:10.3997/2214-4609.20148974

Cited by 8 publications

(7 citation statements)

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“…In ocean bottom acquisition, the noticeable depth of the receiver, related to free-air surface, provides ghost notches interference on the useful central band of the seismic data. The ghost arrives on the receiver in the downward direction, however there is a synchronic event measured that arrives in the upward direction on the receiver, and it is called peg-leg (Soubaras, 1996;Hugonnet et al, 2011). The overlap between them provides the water column delayed multiple event, measured in a sea-floor seismic survey.…”

Section: The Measured Wavefieldsmentioning

confidence: 99%

Robust filtering of ghost and peg-leg from sea floor seismic data

Alves

Oliveira

2023

Braz J Geophys

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ABSTRACT. The processing of compressional waves from the acoustic components of ocean bottom seismic data is performed decomposing the compressional wavefield on its upgoing an downgoing components, treating the first order multiples, composed by the overlap between the receiver ghost and peg-leg. The separation of these wavefields is achieved through the adaptive summation of the hydrophone and geophone components, usually on a least square sense. This method of separation is known as PZ summation, because it involves an operation between pressure and vertical particle velocity measurements. However, due to the difference in response of the pressure and velocity sensors, the premises assumed on the least square summation can be violated, degrading the results. To overcome these difficulties, a more robust method can be achieved using the L1 norm criterion for the adaptive sum. A comparison was made between the results obtained with the Iterative Reweighted Least Squares and Wiener-Levinson filters. The robustness of the L1 norm sum was demonstrated by applications on PZ summation of Ocean Bottom Cable data from the Jubarte area, in the Campos Basin, Brazil, showing improvements, especially when the multiples are present in the estimation window used to derive the filter coefficients.

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Section: The Measured Wavefieldsmentioning

confidence: 99%

Robust filtering of ghost and peg-leg from sea floor seismic data

Alves

Oliveira

2023

Braz J Geophys

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“…To treat the receiver ghost and peg leg in ocean bottom multi-component seismic data, Hugonnet (2011) summarized the formulation of PZ summation based on The adaptive sum is applied due to differences between hydrophone and geophone signals, related mainly to coupling and its scalar and vector measures. In addition, because of the polarizing feature of the geophone (Figure 2), the notches from the receiver ghost appear on the amplitude spectra with opposite peaks and troughs on hydrophone and geophone components (Figure 3).…”

Section: The Pressure With Vertical Particle Velocity Summationmentioning

confidence: 99%

“…Amundsen and Reitan (1995) and Soubaras (1996), published a method to process the acoustic components, the hydrophone and vertical geophone. Later Beresford and Janex (1996), Schalkwijk, Wapenaar and Verschuur (2003), Muijs, Robertsson and Holliger (2007), Wang and Grion (2008), Edme and Singh (2009), and Hugonnet et al (2011), approached the theme of the ocean bottom seismic data processing. Hugonnet et al (2011), summarized the aspects of the hydrophone and geophone processing, based on Soubaras (1996), and called it as PZ summation (pressure with vertical particle velocity), generalizing it to the three-dimensional notation, under the least square sense.…”

Section: Introductionmentioning

confidence: 99%

“…Later Beresford and Janex (1996), Schalkwijk, Wapenaar and Verschuur (2003), Muijs, Robertsson and Holliger (2007), Wang and Grion (2008), Edme and Singh (2009), and Hugonnet et al (2011), approached the theme of the ocean bottom seismic data processing. Hugonnet et al (2011), summarized the aspects of the hydrophone and geophone processing, based on Soubaras (1996), and called it as PZ summation (pressure with vertical particle velocity), generalizing it to the three-dimensional notation, under the least square sense. However, Guitton and Verschuur (2004), explain that under non-gaussian distribution, the least square method provides poor fitted results from adaptive sum, once that is highly affected by spurious measures, and suggest the robust method IRLS (SCALES; GERSZTENKORN, 1988) to solve the inversion with 1 L norm minimization.…”

Section: Introductionmentioning

confidence: 99%

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Robust unidimensional PZ Summation

2021

Proceeding of the 17th International Congress of the Brazilian Geophysical

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PZ summation is a mandatory step in ocean bottom sensor multi-component PP seismic processing flow, to attenuate receiver ghost and peg leg multiples from upgoing wavefield. It consists of an adaptive sum between the hydrophone and geophone components to adapt the vertical component to pressure in a least square sense. However, in spurious situations (nongaussian noised conditions), a robust method IRLS (Interactive Re-weighted Least Square) may be a better choice to run linear convolutional adapting filter. That proposal was applied on receiver gathers of the OBC data from Jubarte area, Brazil, using near receiver stack sections to quality control. Similar quality was obtained when short adaptive windows were used, but better quality was attained when applied on a selected near receiver stack section, as compared to Wiener-Levinson PZ summation results. The proposed method became a robust option to run PZ summation and perform the unidimensional upgoing and downgoing field decomposition, processing the first order receiver ghost and peg leg multiples.

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“…This method based on the criterion that the proper scale factors are those that best whiten the summed data [9]. Hoffe (2000) described the wave field characteristics of OBC dual-sensor seismic data and revealed the physical nature of dual-sensor data summing [10]; Soudani (2006) proposed a three-dimensional OBC combining processing techniques [11]; Hugonnet (2011) presented a three-step OBC dual-sensor combining processing technique by using the cross ghost wave operator [12]. studied the method of OBC seismic data with low SNR [13].…”

Section: Introductionmentioning

confidence: 99%

A Processing Workflow for Ocean Bottom Cable Dual-Sensor Acquisition Data: A Case of 3D Seismic Data in Bohai Bay

Yang¹,

Wang²

2019

OJG

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The technique of ocean bottom cable (OBC) dual-sensor acquisition is an effective method to suppress the ghost wave and the reverberation at the receiver. With the advent of this technique, the processing method has become the key to the effective use of the OBC dual-sensor data. This paper has developed a new set of processing workflow based on the principle of combining the hydrophone and geophone data. This new process was applied to the OBC data acquired in Bohai area. The actual processing results show that the ghost and the reverberation are attenuated effectively. The frequency energy of the first notch point of the hydrophone data increased from −22 dB to −13 dB, and the frequency energy of the first notch point of the geophone data increased from −18 dB to −10 dB. The spectral characteristics of the dual-sensor data are more reasonable. The frequency spectrum is broadened and richer, and the resolution of the stack profile is improved greatly.

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PZ Summation of 3D WAZ OBS Receiver Gathers

Cited by 8 publications

References 0 publications

Robust filtering of ghost and peg-leg from sea floor seismic data

Robust filtering of ghost and peg-leg from sea floor seismic data

Robust unidimensional PZ Summation

A Processing Workflow for Ocean Bottom Cable Dual-Sensor Acquisition Data: A Case of 3D Seismic Data in Bohai Bay

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