Abstract: When seismic wave propagates in hydrocarbon-bearing reservoirs, its reflecting frequency in response of absorption and attenuation is difficult to be detected in original seismic data. The absorption filter technology of seismic signals is based on autoregressive moving average (ARMA) analysis method and Prony transforming theory to decompose seismic signals into damping waves which are different in amplitude, frequency, phase and absorption coefficients. These decomposed signals comprise of the signal storage. We can analyze, select, reconstruct and optimize the seismic signals, combined with the information of well logging, petrophysics and geology, etc. Comparing with original seismic signals, the absorption-filtered data can depict various seismic responses more effectively, thus predicting hydrocarbon-bearing reservoirs more intuitionisticly, more effectively than using the original signals. The case study indicates that good applied result has been obtained using this method in test of model data and in gas reservoir identification.

Key words: seismic signal, absorption, filter, principle, application