Stratigraphic Sequence Correlation Based onWavelet Transform of Well-logging Data: Taking the coal 2 bearing strata of Permo-carboniferous system in Luxi and J iyangArea as an example

Key words: 
• logging data /
• wavelet transform /
• spectrum analysis /
• system tract /
• stratigraphic sequence correlation

Abstract: The well logging data contains plenty of geological information and is one of geological data obtained by now with the highest resolution and best continuity. The time-frequency analysis transforms the one-dimension well signals into the two-dimension domain of time-frequency, which makes the collection and distribution of its inner energy clearly revealed. Then the geological information such as the cycle of stratigraphy can be obtained utilizing the otherness of logging signals in the axis of time. According to continuouswavelet transform, the high quality time-frequency analysis is performed. With the characteristics of wavelet transform such as multi-scale, multi-resolution the sequence and parasequence are clarified. Synchronously with wavelet analysis searching the corresponding relation between various system tracts and the features of time-frequency, analyzing the sedimentary features of sequence and inner elaborate structure, the geological models of wavelet transform spectrum about TST, HST and RST are built up,which can realize the clarification of system tracts quickly and conveniently. At last, based on the wavelet transform of logging signals, the stratigraphic sequence correlation and analysis of the coalbearing strata of Permo-Carboniferous in Luxi and J iyang area have been done. The stratigraphic sequence framework of main coal-bearing strata formed in Neopaleozoic in Shandong area is established