Studying the Relationship Between hydrocarbons Saturation and Frequency Domain With Continuous Wavelet Transform (CWT)


Abstract in English

Low frequency shadows is one of hydrocarbons indicators. It can be detected by means of a time-frequency decomposition which can provide higher frequency resolution at lower frequencies and higher time resolution at higher frequencies. This is desirable for analyzing seismic data, because the hydrocarbons in reservoir are diagnostic at lower frequencies. we have carried out such analyses with post-stack data sets on Fahda field which is located in Aleppo uplift, it contains oil. Adding a frequency axis to a 2D seismic section makes the data 3D axis. The comparison of the single frequency sections from such 3D volume can be utilized to detect low frequency shadows. A preferentially illuminated single frequency section at lower frequencies from Fahda field, shows high amplitude low frequency anomalies beneath oil zones. These anomalies disappear at higher frequencies.

References used

Addison, P. S. (2002). The illustrated wavelet transform handbook, London, UK
Castagna, J. Anno, P and Taner et al., (2005). Spectral Decomposition of Seismic Data with Continuous Wavelet Transform, School of Geology and Geophysics, University of Oklahoma,U.S.A. Phil Anno
Iske, A; Randen, T. (2005). Mathematical methods and modelling in hydrocarbon exploration and production. University of Leicester, Department of Mathematics, United Kingdom. Avner Friedman

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