A New Wavelet Energy Absorption Method Based on Adapted Time Window and Generalized S-transform

Summary Absorption is an effective reservoir and hydrocarbon indicator. Conventional absorption analysis technique is based on constant time window length, which has the strong multi-solutions for hydrocarbon detection of weak amplitude reservoir. A new wavelet energy absorption (WEA) method named ATW_GST_WEA is proposed in this paper, which can be implemented by three steps: (1) using regularization inversion algorithm to calculate the local frequency of target reservoir, then computing adaptive time window (ATW); (2) calculating time-frequency spectrum with the generalized S-transform (GST); (3) fitting high and low frequency absorption factors from instantaneous wavelet spectrum by nonlinear inversion. Through the real data application in strong and weakamplitude reservoir, the results comparison of ATW_GST_WEA method with the conventional absorption analysis methods are analyzed, and the technique adaptabilities are studied.