Fluid Identification of Shale Oil Sedimentary Reservoirs Based on Bayesian Algorithmand Seismic Wave Time-Frequency Analysis
ZHAO Yongfu
Abstract：Fluid identification of sedimentary reservoirs is a reliable basis for ensuring shale oil exploration and production.This paper proposed a fluid identification method for shale oil sedimentary reservoir based on Bayesian algorithm and seismic wave time-frequency analysis.The method used the Bayesian algorithm to classify seismic time-frequency signals and obtained the time-frequency signal set.Subsequently,it used the Hilbert-Huang transform to decompose the signal set and extract various modal components in the signal.By utilizing the correlation between frequency components and energy loss results in the modal,the spectral results between the instantaneous spectral energy and the frequency of seismic waves were determined,and the equivalent absorption coefficient results were obtained.Based on this result,the time-frequency attenuation gradient was determined,and the fluid identification of shale oil sedimentary reservoir was completed.The test results show that this method can effectively distinguish high-frequency data and low-frequency data in seismic wave time-frequency data,and the contribution rates of each modal component are all above 92.44%,with good decomposition effect.Each component can describe the variation of instantaneous frequenc.This method can be used to complet fluid identification of shale oil sedimentary reservoirs at different target depths.
Keywords：Bayesian algorithmTime-frequency of seismic wavesShale oilSedimentary reservoirsFluid identification
Publication Date：2025-03-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 116-122 )