Application of Wavelet Analysis to Well Logging Sequence Stratigraphic Division:Taking Tengge&rsquo;er Formation,Well Da 30 in Baiyinchagan Sag, Erlian Basin as an Example

LI Xin-hu

doi:10.11764/j.issn.1672-1926.2008.03.385

2008 , Vol. 19 >Issue 3: 385 - 389

DOI: https://doi.org/10.11764/j.issn.1672-1926.2008.03.385

Application of Wavelet Analysis to Well Logging Sequence Stratigraphic Division:Taking Tengge’er Formation,Well Da 30 in Baiyinchagan Sag, Erlian Basin as an Example

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Department of Geology and Environment Engineering, Xi’an University of Science and Technology, Xi’an 710054, China

Received date: 2007-12-16

Revised date: 2008-03-25

Online published: 2008-06-10

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Abstract

The applicability of wavelet analysis to well logging sequence stratigraphic division was discussed through decomposing and reconstructing of log signals using scattered multi scale wavelets. Cycle surfaces and sequence stratigraphy were recognized and divided using wavelet transformation and by selection of suitable scale factors. According to the method of wavelet transformation, multiscaled wavelets were decomposed and reconstructed, and the approximate and detail signals were formed in different scales. The identification of different level cycles and and the division of sequence stratigraphy were carried out using the GR logging data of the Tengge’er formation in well Da 30 of the Baiyinchagan sag. The results indicate that multiscale wavelet transformation can enhance the precision of the division of logging cycle sequence stratigraphy boundaries

Key words： Wavelet analysis; Well logging; Sequence stratigraphy; Signal process.

Cite this article

LI Xin-hu . Application of Wavelet Analysis to Well Logging Sequence Stratigraphic Division:Taking Tengge’er Formation,Well Da 30 in Baiyinchagan Sag, Erlian Basin as an Example[J]. Natural Gas Geoscience, 2008 , 19(3) : 385 -389 . DOI: 10.11764/j.issn.1672-1926.2008.03.385

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