Seismic Noise Trapping in Firn
نویسنده
چکیده
A comparative analysis was performed on datasets from two Global Seismographic Network (GSN) stations near the South Pole, Antarctica. The results of this analysis are provided and show that there is significant reduction of the background seismic noise generated by the activities at the Amundsen-Scott South Pole Station as a function of distance and depth. Data gathered from site selection work for a new station at South Pole revealed that the near surface firn layer, having a sharp velocity gradient, tends to turn seismic energy generated on the surface, back towards the surface, thus trapping the noise in the upper most layer. The new seismic station installed below this layer exhibits substantial reductions in noise levels in both high frequency (> 1Hz) and long period (> 10 sec) bands. Noise levels in the high frequency band are below the Peterson Low Noise Model making this the quietest station in the entire network in this band.
منابع مشابه
Ambient noise correlation on the Amery Ice Shelf, East Antarctica
S U M M A R Y The structure of ice shelves is important for modelling the dynamics of ice flux from the continents to the oceans. While other, more traditional techniques provide many constraints, passive imaging with seismic noise is a complementary tool for studying and monitoring ice shelves. As a proof of concept, here we study noise cross-correlations and autocorrelations on the Amery Ice ...
متن کاملUsing a novel method for random noise reduction of seismic records
Random or incoherent noise is an important type of seismic noise, which can seriously affect the quality of the data. Therefore, decreasing the level of this category of noises is necessary for increasing the signal-to-noise ratio (SNR) of seismic records. Random noises and other events overlap each other in time domain, which makes it difficult to attenuate them from seismic records. In this r...
متن کاملApplication of Single-Frequency Time-Space Filtering Technique for Seismic Ground Roll and Random Noise Attenuation
Time-frequency filtering is an acceptable technique for attenuating noise in 2-D (time-space) and 3-D (time-space-space) reflection seismic data. The common approach for this purpose is transforming each seismic signal from 1-D time domain to a 2-D time-frequency domain and then denoising the signal by a designed filter and finally transforming back the filtered signal to original time domain. ...
متن کاملEstimation of reservoir fluid saturation from 4D seismic data: effects of noise on seismic amplitude and impedance attributes
Time-lapse (4D) seismic data sets have proven to be extremely useful for reservoir monitoring. Seismic-derived impedance estimates are commonly used as a 4D attribute to constrain updates to reservoir fluid flow models. However, 4D seismic estimates of P-wave impedance can contain significant errors associated with the effects of seismic noise and the inherent instability of inverse methods. Th...
متن کاملA 1-D time-varying median filter for seismic random, spike-like noise elimination
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...
متن کامل