1887

Abstract

Summary

Benefiting from the advantages of multi-component, long-offset and wide-azimuth observations of OBN data, seismic imaging in complex regions such as gas-cloud, deep water and sub-salt areas has been significantly improved. However, current state-of-the-art full waveform inversion (FWI) and least-squares migration (LSM) primarily either only use the hydrophone data or empirically balance the contribution of hydrophone and geophone data in the objective function, failing to fully leverage multi-component in addressing the challenges posed by free-surface multiples. In this abstract, we propose a least-squares reverse time migration (LSRTM) method using an appropriate energy-error objective functional. Based on Kirchhoff-Helmholtz integral, the proposed method can eliminate the non-physical artifacts in the adjoint wavefields and functional gradient, and thus allows for simultaneous imaging of primaries and free-surface multiples. Synthetic and real OBN data examples reveal a promising potential of the proposed method to improve the seismic imaging in offshore exploration.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.2025101086
2025-06-02
2026-02-17

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/content/papers/10.3997/2214-4609.2025101086
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Least-Squares Reverse Time Migration of OBN Data with Kirchhoff-Helmholtz Boundary Conditions
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.2025101086
/content/papers/10.3997/2214-4609.2025101086
/content/papers/10.3997/2214-4609.2025101086
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