Abstract
Recorded seismograms are usually distorted by statics owing to complex geological conditions, such as lateral variations in sediment thickness or complex topographies. These distorted and discontinuous signals usually exist in either arrival times or amplitudes of waves, and they are most likely to be smeared as velocity perturbations along their associated raypaths. Therefore, statics may blur images of the target bodies or, even worse, introduce unexpected and false anomalies into subsurface structures. To partly resolve this problem, we develop a weighted statics correction method to estimate unwanted temporal shifts of traces using the closure-phase technique, which is utilized in astronomical imaging. In the proposed method, the source and receiver statics are regarded as independent quantities contributing to the waveform shifts based on their acquisition geometries. Numerical tests on both the synthetic and field cases show noticeable, although gradual, improvements in data quality compared to the conventional plus-minus (PM) method. In general, this method provides a straightforward strategy to reedit the travel times in seismic profiles without inverting for a near-surface velocity model. Moreover, it can be extended to any interferometrical methods in seismic data processing that satisfies the closure-phase conditions.
Original language | English (US) |
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Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | IEEE Transactions on Geoscience and Remote Sensing |
Volume | 60 |
DOIs | |
State | Published - Apr 22 2022 |
Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2022-05-25Acknowledgements: This work was supported in part by the King Abdullah University of Science and Technology (KAUST), in part by the National Natural Science Foundation of China (NSFC) under Grant 11901296, in part by the Natural Science Foundation of the Nanjing University of Posts and Telecommunications (NUPTSF) under Grant NY221072.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.