Space-time frequency wavenumber domain synchroextracting transform and itsapplication to tight channel sandstone reservoir characterization

s a key exploration and development object in the field of unconventional oil and gas, the tightchannel sandstone reservoir can be highlighted in the spectrum analysis. However, most of the existing time-frequency analysis methods focus on the trace-by-trace analysis of seismic data, lack of lateral constraints, andfail to detail the morphological characteristics of the river. In this paper, a Space-Time Frequency WavenumberDomain Synchroextracting Transform (STFKSET) is proposed. The method introduces a time-space window tocapture the lateral variations in seismic signals, and then starts from two-dimensional pure harmonic signals, theTwo-Dimensional Short-Time Fourier Transform (TDSTFT), The estimators of Space-Time InstantaneousFrequency (ST-IF) and Space-Time Instantaneous Wavenumber (ST-IK) are accurately derived from TDSTFT intime-frequency domain. A new Space-Time Frequency Wavenumber Domain Synchroextracting Operator(STFKSEO) was defined to extract only time-frequency result coefficients highly correlated with ST-IF and ST-IK curves, so as to improve the robustness to noise. Achieve high focus of signal time-frequency characterization.Finally, STFKSET which can effectively reflect the vertical and horizontal changes of the reservoir isconstructed, and the wave number parameters are determined according to the relationship between ST-IF andST-IK. The synthetic seismic section shows that STFKSET can extract frequency ridges in fine detail whilemaintaining high transverse continuity. STFKSET has better anti-noise performance than traditional time-frequency analysis methods. STFKSET is applied to the seismic data processing of a gas field in the westernSichuan Basin, China, and the potential of the time-frequency algorithm in the characterization of river channelsand their boundaries is further verified