Field array performance: Theoretical study of spatially correlated variations in amplitude coupling and static shift and case study in the Paris Basin

Berni, A; Roever, W. L.

doi:10.1190/1.1442671

Cited by 23 publications

(7 citation statements)

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“…(For an in-depth description of the effect of correlated intra-array statics, see Berni and Roever [1989]). The larger the statics between the array elements, the more degradation of signal takes place; the degradation is most serious for the high frequencies.…”

Section: Intra-array Staticsmentioning

confidence: 99%

“…With its 0.25-m sampling interval, it was appropriately called the nanospread. Berni and Roever (1989) use this data set to illustrate the effect of statics variation across field arrays (intra-array statics). Their paper shows an important application of noise spreads: the investigation of recording effects that cannot be analyzed after acquisition with usual spatial sampling intervals and arrays.…”

Section: D Microspread 721 Introductionmentioning

confidence: 99%

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3D Seismic Survey Design, Second edition

Vermeer¹

2012

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Section: Intra-array Staticsmentioning

confidence: 99%

Section: D Microspread 721 Introductionmentioning

confidence: 99%

3D Seismic Survey Design, Second edition

Vermeer¹

2012

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“…The impact of intra-array static corrections on the output data has been shown by Berni and Roever (1989) and Steeples et al (1990). In some cases, the resulting signal distortion can be removed, or partially removed, with a subsequent dephasing operator.…”

Section: Factors Affecting Shape and Amplitude Of Refraction Arrivalsmentioning

confidence: 99%

5. Refraction Surveys

Cox¹

1999

Static Corrections for Seismic Reflection Surveys

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Refraction SurveysDownloaded 10/09/15 to 129.78.139.28. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/ c c c c c or t z V x z V z V Downloaded 10/09/15 to 129.78.139.28. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/ Downloaded 10/09/15 to 129.78.139.28. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/ Downloaded 10/09/15 to 129.78.139.28. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/Fig. 5-20. Refraction arrival picking using a peak-trough ratio technique: (a) seismic data after removal of the refractor moveout or stepout; (b) display of all peaks and troughs, with the maximum ratio between successive events (the preferred pick) indicated by a thicker line (Chun and Jacewitz, 1981; preprint).

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“…Although heterogeneities in the shallow layers of the earth can give rise to spatially correlated time and amplitude intra-array perturbations, as analyzed in Berni and Rover (1989), the practical difficulty of finding a parametric model of these perturbations calls for their nonparametric estimation. Only nonparametric techniques to estimate TDs are considered in this paper.…”

Section: Introductionmentioning

confidence: 99%

Performance of time-delay estimators

Bagaini

2005

GEOPHYSICS

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I analyze the problem of estimating differences in the arrival times of a seismic wavefront recorded by an array of sensors. The two-sensor problem is tackled first, showing that even an approximate knowledge of the wavelet, such as its power spectrum, can substantially increase the accuracy of the time-delay estimate and reduce the signal-to-noise ratio (S/N) threshold for reliable time-delay estimation. The use of the complex trace, although beneficial for time-delay estimates in the presence of frequency-independent phase shifts, reduces the estimation accuracy in poor S/N conditions. I compare the performance of five time-delay estimators for arrays of sensors. Four of five estimators are based on crosscorrelation with a reference signal derived according to one of the following criteria: one trace in the array randomly selected, the stack of all array traces, the stack of all array traces iteratively updated, and (possible only for synthetic data) the noisefree wavelet. Another method, which is referred to as integration of differential delays, is based on the solution of an overdetermined system of linear equations built using the time delays between each pair of sensors. In all the situations considered, the performance of crosscorrelation with a trace of the array randomly selected is significantly worse than the other methods. Integration of differential delays proved to be the bestperforming method for a large range of S/N conditions, particularly in the presence of large fluctuations in time delays and large bandwidth. However, for small time delays with respect to the wavelet duration, or if a priori knowledge of the moveout can be used to detrend the original data, crosscorrelation with a stacked trace performs similarly to integration of differential delays.

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Field array performance: Theoretical study of spatially correlated variations in amplitude coupling and static shift and case study in the Paris Basin

Cited by 23 publications

References 1 publication

3D Seismic Survey Design, Second edition

3D Seismic Survey Design, Second edition

5. Refraction Surveys

Performance of time-delay estimators

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