We analysed short-period seismograms from about 250 very local events recorded by a network of high dynamic range short-period seismic stations deployed on Mt Vesuvius to estimate the site-corrected short-period seismic attenuation. We calculated Q{1 C , the inverse of the quality factor for coda waves, for short lapse times (12 s), and Q{1 P and Q{1 S , the inverse of the direct body wave qual...

S U M M A R Y Modern acquisition of seismic data on receiver networks worldwide produces an increasing amount of continuous wavefield recordings. In addition to manual data inspection, seismogram interpretation requires therefore new processing utilities for event detection, signal classification and data visualization. The use of machine learning techniques automatises decision processes and r...

[1] More than 100 years ago it was predicted that the distribution of first digits of real world observations would not be uniform, but instead follow a trend where measurements with lower first digit (1,2,...) occur more frequently than those with higher first digits (...,8,9). This result has long been known but regarded largely as a mathematical curiosity and received little attention in the...

S U M M A R Y In this study we present a new approach to inverting long-period seismic waveforms. The effect of lateral heterogeneity is partitioned into two. The first part represents the effect of horizontally averaged structure along the great circle between the source and receiver, and is allowed to remain in non-linear form in the formulation. The second part incorporates any further corre...

[1] We examine waveforms and data used to construct coda magnitude in southern California to estimate the spatial variation of coda Q and its dependence on frequency. Our analysis combined with independent borehole data suggests that coda is mainly generated by multiple scattering in the upper few kilometers of the crust where large impedance contrasts occur because of surface layering or fract...

We processed the complete digital seismogram database for northern California to measure accurate differential travel times for correlated earthquakes observed at common stations. Correlated earthquakes are earthquakes that occur within a few kilometers of one another and have similar focal mechanisms, thus generating similar waveforms, allowing measurements to be made via cross-correlation ana...

Abstract We use machine learning algorithms (artificial neural networks, ANNs) to estimate petrophysical models at seismic scale combining well-log information, data and attributes. The resulting images are the prior inputs in process of full-waveform inversion (FWI). calculate attributes from a stacked reflected 2-D section then train ANNs approximate following parameters: P-wave velocity ( $$...