Application of Spectrum Decomposition to Faults Recognition and Reservoir Prediction

Spectral decomposition is a new technique,by which the seismic data is transformed into frequency domain through Discrete Fourier Transform (DFT) or Maximum Entropy Method transform (MEM),the amplitude spectra and phase spectra is used to identify thin reservoir and discontinuous geological boundary.By spectral decomposition,two kinds of spectrum can be developed,one is transformed amplitude spectrum,and the other is phase spectrum.The transformed amplitude spectrum is used to delineate change of bed thickness,while the phase spectrum is used to indicate lateral geologic discontinuities.This technique has proven to be an effective method for thickness estimation and fault identification.There are a lot of faults in W area,and the thickness of the hydrocarbon reservoirs is less than 10 m.By using spectral decomposition,the fault can be identified,and the lateral distribution of thin reservoirs can be described finely,which can provide a solid basis for future hydrocarbon exploration.