Applying wavelet transform to suppress ghost in ocean-bottom node dual-sensor technology

Zhou, Xiawan; Guo, Peng; Song, Sha; Li, Qingchun

doi:10.1007/s11001-022-09467-z

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…The SVD technique can be used to decompose the ocean data matrix A into a product of 3 matrices, as shown in (1).…”

Section: Compression Methods 221 Singular Value Decompositionmentioning

confidence: 99%

“…The data increase cost on marine observation equipment and servers. Take turbulence equipment for example, its high-frequency sampling will produce more than 100 GB of observation data in the 3 years of operation, increasing the cost of equipment and limiting its endurance [1]. When it comes to ARray for real-time Geostrophic Oceanography(ARGO) project, its network database servers are limited by hardware devices, providing a limited number of concurrent visitors, so too much transmission of data can cause server crashes and downtime if exceeded [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ocean data compression based on block SVD

Wang

Zhou

Zhang

2023

J. Phys.: Conf. Ser.

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Fast development of ocean observations and numerical modeling increases the need for data transmission, storage and extraction. This paper presented a new data compression method based on Singular Value Decomposition (SVD) with data matrix divided into different sub-matrices with consideration of odevity and remnant. An automatic matrix-dividing method is applied to divide smartly the data matrix into sub-matrices. These sub-matrices are then compressed based on an improved SVD, which enhances the compression performance by utilizing the orthogonal property of vectors generated by SVD. A dynamic optimization method which is capable of determining the proper scale of retained data under the accuracy requirement of ocean data is also established. Two indices are derived mathematically to search the best block pattern quickly. The performance and reliability of the block-based SVD compression is verified with the successful compression and recovery of the Hybrid Coordinate Ocean Model data.

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“…The SVD technique can be used to decompose the ocean data matrix A into a product of 3 matrices, as shown in (1).…”

Section: Compression Methods 221 Singular Value Decompositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ocean data compression based on block SVD

Wang

Zhou

Zhang

2023

J. Phys.: Conf. Ser.

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Ocean bottom dual-sensor Q-compensated elastic least-squares reverse time migration based on acoustic and separated-viscoelastic coupling equations

Li,

Qu,

et al. 2024

GEOPHYSICS

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The ocean bottom dual-sensor (OBD) observation system places water detectors (pressure sensors) and land detectors on the irregular seabed interface to receive acoustic pressure fields and elastic wave fields, respectively. These data are usually applied to effectively remove ghost waves and ringing interference in the seawater layer, rather than jointly being used for migration. We propose an ocean bottom dual-sensor viscoacoustic and separated-viscoelastic coupled Q-compensated least-squares reverse time migration (OBD-VSV-QLSRTM) in curvilinear coordinates. In this method, to solve the Q-compensated elastic inverse problem, we jointly use the recorded acoustic pressure and elastic multicomponent seismic data from the OBD observation system. A new misfit function in a sense of least-squares inversion is constructed based on viscoacoustic and separated viscoelastic wavefields. Acoustic and separated viscoelastic equations are utilized to describe the acoustic wavefield in the acoustic medium, and Q-compensated P- and S-wavefields in underlying viscoelastic medium, respectively. On the acoustic-viscoelastic interface, We implement a stable governing equation to ensure a continuous and steady transmission of Q-compensated stresses in the subseabed and pressure in the seawater. To address the irregular seabed problem, we mesh the acoustic-viscoelastic models onto curvilinear grids and apply coordinate transformations to map the models and equations to a new curvilinear coordinate system. We derive viscoacoustic and separated-viscoelastic coupled adjoint and demigration operators in the curvilinear coordinates, enabling linear acoustic-viscoelastic modeling and stable receiver-side back-propagated wavefield continuation. Numerical examples conducted on two typical acoustic-viscoelastic models demonstrate that our proposed OBD-VSV-QLSRTM in curvilinear coordinates can produce highly accurate P- and S-wave images efficiently.

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Applying wavelet transform to suppress ghost in ocean-bottom node dual-sensor technology

Cited by 2 publications

References 24 publications

Ocean data compression based on block SVD

Ocean data compression based on block SVD

Ocean bottom dual-sensor Q-compensated elastic least-squares reverse time migration based on acoustic and separated-viscoelastic coupling equations

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