Lithologic Reservoirs ›› 2018, Vol. 30 ›› Issue (5): 59-67.doi: 10.12108/yxyqc.20180507

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Method for high-resolution sequence stratigraphy division based on Ensemble Empirical Mode Decomposition

YANG Ying1,2, YANG Wei1,2,3, ZHU Shijun1,2   

  1. 1. State key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China;
    2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China;
    3. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2017-12-04 Revised:2018-02-12 Online:2018-09-14 Published:2018-09-14

Abstract: Dividing sequence boundary of different levels and identifying internal types of sedimentary cycle are important bases of sequence stratigraphic analysis. Logging signals are the superposition of sedimentary cycles in different periods. It can be applied to classify the sequence boundaries of different levels,and identify the types of cycles by time-frequency analysis which can expand the information of stratigraphic cycle hidden in the well logging data into different frequency bands. Ensemble Empirical Mode Decomposition(EEMD) was applied to decompose well logging data into Intrinsic Mode Functions of different frequency banks,then the frequency information of each components can be obtained by Hilbert transform. Stratigraphic sequence was divided according to the relationship between the periodic fluctuation of each components and the different types of sedimentary cycle, as well as the relationship between the frequency characteristics of each components and sequence boundaries of all levels. The application in the third member of Shahejie Formation of Dongying Sag shows that this method is suitable for the cycle division of short-term,medium-term and long-term. It provides a new idea for division of high-resolution sequence stratigraphy.

Key words: high resolution, Ensemble Empirical Mode Decomposition, Intrinsic Mode Function, Hilbert transform, sequence stratigraphy, time-frequency analysis

CLC Number: 

  • TE121.3
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