Application of the empirical mode decomposition and wavelet transform to seismic reflection frequency attenuation analysis

摘要: Abstract Frequency attenuation analysis is a useful tool for direct hydrocarbon indication. gradient more sensitive to the type of reservoir identification than other frequency properties such as center frequency, root-mean-square frequency. One derived detection time–frequency spectral decomposition. Based on seismic theory in fluid-filled porous medium, new method combining Empirical Mode Decomposition (EMD) and continuous-wavelet transform named EMDWave proposed high-precision an improved methods. Compared Hilbert–Huang Transform (HHT) method, it reflects details. The common section calculated by can improve characteristics. First, EMD used multiband filtering temporal domain. decompose original signals into finite number Intrinsic Functions (IMFs). All these IMFs be expressed gradual single-frequency that enhance physical meaning instantaneous frequencies amplitudes. After correlation signal its corresponding IMFs, IMF component which oil gas information selected further detection. with relatively narrow band make wavelet avoid loss incurred large scale distribution broadband non-stationary signals. Second, applied IMF. spectrum obtained has single-peaked side-lobes good computing absorption coefficients. Then coefficients are computed curve fitting based least square method. effectively improves precision conventional methods Energy Absorption Analysis (EAA). Applications over field located western Sichuan Depression, China, show effectiveness bearing It traditional better characterization.