Virtual Source Redatuming of Synthetic Land Data Acquired with Shallow Buried Receivers

Alexandrov, Dmitry; Bakulin, Andrey; Burnstad, Roy

doi:10.3997/2214-4609.20148604

Cited by 2 publications

(9 citation statements)

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“…In a strongly heterogeneous medium, the incident wavefield can overlap with upgoing reflections, making such a separation not always trivial (Alexandrov et al . ). In this paper, we define the incident wavefield as the response from the part of the medium above the receiver level (including the source ghost), as if the medium below the receiver level were homogeneous.…”

Section: The Virtual Source Methodsmentioning

confidence: 97%

“…This assumption is believed to be well fulfilled for this type of data (Alexandrov et al . ). Medium variations along the receiver array are neglected.…”

Section: Methodsmentioning

confidence: 97%

“…The following numerical example is based on a recent experiment over an on‐shore oilfield in Saudi Arabia that is described in more detail by Alexandrov et al . (). At the surface, 641 sources are situated with 7.5‐m spacing.…”

Section: Examplementioning

confidence: 97%

“…). Initial tests on synthetic data have shown that multiple reflections from the free surface can be harsh in this environment (Alexandrov, Bakulin, and Burnstad ). Conventional demultiple methods, such as surface‐related multiple elimination (SRME) (Verschuur, Berkhout, and Wapenaar ; Kelamis and Verschuur ) appear unfavourable due to the complexity of the upper sub‐surface section.…”

Section: Introductionmentioning

confidence: 99%

“…Since the target signals tend to arrive at the receiver array with incident angles that are close to vertical (up to approximately 15° in the example) (Alexandrov et al . ) and since sources are densely distributed at the surface (with 7.5‐m spacing in the example) (Bakulin et al . ), we can tackle these problems by preconditioning the data with synthetic‐aperture‐source filters.…”

Section: Introductionmentioning

confidence: 99%

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Shallow virtual source redatuming by multi-dimensional deconvolution

Neut

Alexandrov

Bakulin

2015

Geophysical Prospecting

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A B S T R A C TRecently, new on-shore acquisition designs have been presented with multicomponent sensors deployed in the shallow sub-surface (20 m-60 m). Virtual source redatuming has been proposed for these data to compensate for surface statics and to enhance survey repeatability. In this paper, we investigate the feasibility of replacing the correlation-based formalism that undergirds virtual source redatuming with multi-dimensional deconvolution, offering various advantages such as the elimination of free-surface multiples and the potential to improve virtual source repeatability. To allow for data-driven calibration of the sensors and to improve robustness in cases with poor sensor spacing in the shallow sub-surface (resulting in a relatively high wavenumber content), we propose a new workflow for this configuration. We assume a dense source sampling and target signals that arrive at near-vertical propagation angles. First, the data are preconditioned by applying synthetic-aperture-source filters in the common receiver domain. Virtual source redatuming is carried out for the multi-component recordings individually, followed by an intermediate deconvolution step. After this specific pre-processing, we show that the downgoing and upgoing constituents of the wavefields can be separated without knowledge of the medium parameters, the source wavelet, or sensor characteristics. As a final step, free-surface multiples can be eliminated by multi-dimensional deconvolution of the upgoing fields with the downgoing fields.

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Section: The Virtual Source Methodsmentioning

confidence: 97%

“…This assumption is believed to be well fulfilled for this type of data (Alexandrov et al . ). Medium variations along the receiver array are neglected.…”

Section: Methodsmentioning

confidence: 97%

Section: Examplementioning

confidence: 97%