Acoustic–Elastic Coupled Equations for Joint Elastic Imaging of TS and Sparse OBN/OBS Data

Elastic wave imaging with ocean-bottom four-component (4C) seismic data offers unique advantages in offshore oil and gas exploration, but for sparse ocean-bottom node/ocean-bottom seismometer (OBN/OBS) 4C seismic data, the problems of imaging acquisition footprints, poor phase continuity, and low si...

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Bibliographic Details
Published in:Pure and applied geophysics 2022, Vol.179 (1), p.311-324
Main Authors: Yu, Pengfei, Sun, Minao
Format: Article
Language:English
Subjects:
Acoustic coupling
Acoustics
Cables
Data acquisition
Deep water
Earth and Environmental Science
Earth Sciences
Elastic waves
Geophysics/Geodesy
Image acquisition
Imaging techniques
Lithology
Mathematical analysis
Methods
Natural gas exploration
Noise
Ocean bottom
Ocean bottom seismometers
Oceans
Offshore
Offshore engineering
Oil and gas exploration
Oil exploration
Pressure data
Seismic activity
Seismic data
Seismic exploration
Seismological data
Seismometers
Signal to noise ratio
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Summary:Elastic wave imaging with ocean-bottom four-component (4C) seismic data offers unique advantages in offshore oil and gas exploration, but for sparse ocean-bottom node/ocean-bottom seismometer (OBN/OBS) 4C seismic data, the problems of imaging acquisition footprints, poor phase continuity, and low signal-to-noise (S/N) persist. Pressure data acquired by towed streamer (TS) are dense and can be used in elastic imaging of sparse OBN/OBS data using acoustic–elastic coupled equations (AECEs). Based on the AECEs, we propose a novel method for elastic wave joint imaging of dense TS and sparse OBN/OBS seismic data, including joint elastic reverse-time migration (J-ERTM) and joint elastic least-squares reverse-time migration (J-ELSRTM), to solve the above problems in elastic imaging with sparse OBN/OBS data. J-ERTM of TS and OBN/OBS data can address the problem of imaging acquisition footprints, but with low S/N ratio. J-ELSRTM uses Hessian information and can theoretically suppress the negative influences caused by sparse acquisition, thereby obtaining better images than J-ERTM with higher S/N ratio. The results of synthetic and field data experiments show that our method is of prime importance for addressing the elastic wave imaging problems of sparse OBN/OBS data in deep-water oil and gas seismic exploration.
ISSN:0033-4553
1420-9136
DOI:10.1007/s00024-021-02899-5