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Chapter 8 – Understanding Sample Data

Abstract

Seismic field data are recorded digitally during acquisition as a sampled data, at regular time interval. During seismic data processing the data are usually resampled to a lower sample period or higher sample period. This chapter of ‘Seismic Data Analysis Techniques in Hydrocarbon Exploration’ explains how seismic data is resampled and how the bandwidth of the recorded seismic data influences the sample period. All concepts are presented in a highly practical manner using examples and illustrations as though one is in the industry working on a real project. This chapter ended explaining spatial filtering and FK analysis in a simplified and interesting manner.

 


 

Enwenode Onajite, in Seismic Data Analysis Techniques in Hydrocarbon Exploration, 2014

Abstract

During seismic data acquisition, as the acoustic wave (seismic signal) radiates through the subsurface, the amplitude of the seismic signal decreases due to spherical divergence and also higher frequencies within the seismic signal are attenuated due to absorption. By restoring these high frequencies, deconvolution can improve the vertical resolution of the seismic signal by producing a broad bandwidth with high frequencies and relatively compressed wavelet. This chapter of “Seismic Data Analysis Techniques in Hydrocarbon Exploration” explains the concepts of deconvolution and various deconvolution techniques used in the oil industry to improve the frequency content of the data. All concepts are illustrated using seismic data and diagram for easy comprehension and pleasant reading.

Categories: Uncategorized

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