We have developed an adaptive, automatic, correlationand clusteringbased method for greatly reducing the degree of picking inconsistency in large, digital seismic catalogs and for quantifying similarity within, and discriminating among, clusters of disparate waveform families. Innovations in the technique include (1) the use of eigenspectral methods for cross-spectral phase estimation and for p...

the principles of quran interpretation are amongst the most important issues in the field of quran studies. these principles have always been addressed by both quran researchers, admirers and especially by notable interpreters. principles of interpretation are axioms and basic beliefs that quran interpretation stands on them. these beliefs and propositions affect the very principle of the possi...

The coherence attribute is one of the most commonly used attributes in seismic interpretation. In this paper, we propose building on the recently introduced Generalized Tensor-based Coherence (GTC) attribute to make it directionally selective. This directional selectivity is achieved by selecting a directional Gaussian preprocessing kernel and applying a 3D rotational matrix to its covariance m...

Random noise in seismic data affects the signal-to-noise ratio, obscures details, and complicates identification of useful information. We present a new method for reducing random, spike-like noise in seismic data. The method is based on a 1-D stationary median filter (MF) – the 1-D time-varying median filter (TVMF). We design a threshold value that controls the filter window according to chara...

A Fourier series non-stationary coherency model with respect to the site conditions for horizontal component was developed. The evolution of achieved using parameters related site, inter-station distance, and time. First, based on simulation a ground-motion field considering wave-passage effect site-response effect, approach used estimation wavelet transform is presented. Subsequently, formulat...

Deblending of simultaneous-source data is usually considered to be an underdetermined inverse problem, which can be solved by an iterative procedure, assuming additional constraints like sparsity and coherency. By exploiting the fact that seismic data are spatially band-limited, deblending of densely sampled sources can be carried out as a direct inversion process without imposing these constra...

This paper should be understood as a tutorial in multifractals and their analysis via wavelets, in view of possible applications in geophysics. It is elaborated how a description of the well log measurement through wavelets provides a new way of modeling re ection of waves in a material which is dependent on frequency. The wavelet analysis has the potential to provide an explanation for the inc...