High-resolution lithospheric imaging with seismic interferometry

In recent years, there has been an increase in the deployment of relatively dense arrays of seismic stations. The availability of spatially densely sampled global and regional seismic data has stimulated the adoption of industry-style imaging algorithms applied to convertedand scattered-wave energy from distant earthquakes, leading to relatively high-resolution images of the lower crust and upper mantle. We use seismic interferometry to extract reflection responses from the coda of transmitted energy from distant earthquakes. In theory, higher-resolution images can be obtained when migrating reflections obtained with seismic interferometry rather than with conversions, traditionally used in lithospheric imaging methods. Moreover, reflection data allow the straightforward application of algorithms previously developed in exploration seismology. In particular, the availability of reflection data allows us to extract from it a velocity model using standard multichannel data-processing methods. However, the success of our approach relies mainly on a favorable distribution of earthquakes. In this paper, we investigate how the quality of the reflection response obtained with interferometry is influenced by the distribution of earthquakes and the complexity of the transmitted wave fields. Our analysis shows that a reasonable reflection response could be extracted if 1) the array is approximately aligned with an active zone of earthquakes, 2) different phase responses are used to gather adequate angular illumination of the array and 3) the illumination directions are properly accounted for during processing. We illustrate our analysis using a synthetic dataset with similar illumination and source-side reverberation characteristics as field data recorded during the 2000-2001 Laramie broadband experiment. Finally, we apply our method to the Laramie data, retrieving reflection data. We extract a 2D velocity model from the reflections and use this model to migrate the data. On the final reflectivity image, we observe a discontinuity in the reflections. We interpret this discontinuity as the Cheyenne Belt, a suture zone between Archean and Proterozoic terranes.