We present a procedure for enhancing the signal-to-noise ratio (S/N) of shallow seismic reflection data based on two different steps: 1) an acquisition step that requires the recording of closely spaced common source records with standard source and receiver equipment, and 2) a processing step where weighted or un-weighted source and receiver arrays are simulated on the basis of required needs for source-related noise attenuation and depth penetration. The data acquisition can be carried out employing single source-single geophone recordings, with a standard 24-or 48-channel equipment. Simple energy sources such as weight drop or sledgehammer are considered. The design and application of the spatial filters in the processing phase is very flexible and can be tailored to the specific needs. In fact, the simulated source and/or receiver arrays can be time and/or space variant and can be weighted to provide the desired responses. Optimal weights can be determined by means of Chebyshev polynomials. Real data examples show the increase in the data quality in terms of better coherent noise attenuation and of enhanced depth penetration.
S/N enhancement by means of array simulation for near surface seismic investigations / A. Tognarelli, E. Stucchi. - In: NEAR SURFACE GEOPHYSICS. - ISSN 1569-4445. - 14:3(2016 Jun), pp. 221-229. [10.3997/1873-0604.2016013]
S/N enhancement by means of array simulation for near surface seismic investigations
E. StucchiUltimo
2016
Abstract
We present a procedure for enhancing the signal-to-noise ratio (S/N) of shallow seismic reflection data based on two different steps: 1) an acquisition step that requires the recording of closely spaced common source records with standard source and receiver equipment, and 2) a processing step where weighted or un-weighted source and receiver arrays are simulated on the basis of required needs for source-related noise attenuation and depth penetration. The data acquisition can be carried out employing single source-single geophone recordings, with a standard 24-or 48-channel equipment. Simple energy sources such as weight drop or sledgehammer are considered. The design and application of the spatial filters in the processing phase is very flexible and can be tailored to the specific needs. In fact, the simulated source and/or receiver arrays can be time and/or space variant and can be weighted to provide the desired responses. Optimal weights can be determined by means of Chebyshev polynomials. Real data examples show the increase in the data quality in terms of better coherent noise attenuation and of enhanced depth penetration.File | Dimensione | Formato | |
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