The research on division and correlation of stratigraphic sequence based on the “three instantaneous” attribute features of logging data |
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| Authors: | Xu Jingling Liu Luofu Wang Guiwen Cao Guangwei Li Jing |
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| Institution: | 1.State Key Laboratory of Petroleum Resources and Processing, China University of Petroleum, Beijing 102249, China; 2. China National Oil & Gas Exploration and Development Corporation, Beijing 100034, China; 3.Geophysical Research Institute of Exploration and Development Petrochina Xinjiang Oilfield Company, Urumqi 830011, China |
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| Abstract: | The stratigraphic division and correlation has important guiding significance to oil and gas field. This paper presents the application of Hilbert-Huang Transform to extract the “three instantaneous” attribute features of logging data (GR,AC) to perform the division and correlation of stratigraphic sequence, that is, the three properties of "instantaneous frequency", "instantaneous amplitude", "instantaneous phase" are extracted from logging data, which revealed the frequency characteristics of each depth of logging data and clearly reflected the structural characteristics of the frequency change. According to the oscillation anomalies of different attributes, we scale sequence boundaries, and use the variation characteristics of oscillation period of different frequency components attributes to scale the periodic characteristics of different scale sequence cycle, then use the “three instantaneous” attribute information for stratigraphic correlation, and for describing the internal features of formation. These attributes anomalies can be used to clearly find the different class interface of stratigraphic sequence, to achieve the sequence division at all levels, and under the control of sequence stratigraphic framework at all levels, we can do the isochronous stratigraphic correlation at all levels. The “three instantaneous” attribute extraction of logging data provides a new approach and idea for high resolution sequence stratigraphy analysis, and it has important significance for promoting the development of high-resolution sequence stratigraphy. |
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| Keywords: | logging data sequence division the “three instantaneous&rdquo attribute frequency components stratigraphic correlation |
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