Improving thin bed identification in Sarawak Basin field using short time Fourier transform half Cepstrum (STFTHC) method

O Nizarul, M Hermana, Y Bashir… - IOP Conference Series …, 2016 - iopscience.iop.org
IOP Conference Series: Earth and Environmental Science, 2016iopscience.iop.org
In delineating complex subsurface geological feature, broad band of frequencies are
needed to unveil the often hidden features of hydrocarbon basin such as thin bedding. The
ability to resolve thin geological horizon on seismic data is recognized to be a fundamental
importance for hydrocarbon exploration, seismic interpretation and reserve prediction. For
thin bedding, high frequency content is needed to enable tuning, which can be done by
applying the band width extension technique. This paper shows an application of Short Time …
Abstract
In delineating complex subsurface geological feature, broad band of frequencies are needed to unveil the often hidden features of hydrocarbon basin such as thin bedding. The ability to resolve thin geological horizon on seismic data is recognized to be a fundamental importance for hydrocarbon exploration, seismic interpretation and reserve prediction. For thin bedding, high frequency content is needed to enable tuning, which can be done by applying the band width extension technique. This paper shows an application of Short Time Fourier Transform Half Cepstrum (STFTHC) method, a frequency bandwidth expansion technique for non-stationary seismic signal in increasing the temporal resolution to uncover thin beds and improve characterization of the basin. A wedge model and synthetic seismic data is used to quantify the algorithm as well as real data from Sarawak basin were used to show the effectiveness of this method in enhancing the resolution.
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