Identification of stratigraphic formation interfaces using wavelet and Fourier transforms

Shih Yu Pan, Bieng Zih Hsieh, Ming Tar Lu, Zsay Shing Lin

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

The purpose of this study was to identify the formation interfaces from geophysical well log data using the wavelet transform, and a combination of the wavelet transform and the Fourier transform methods. In the wavelet transform method, the identification of formation interfaces is based on the wavelet coefficients from the wavelet transform of spontaneous potential (SP) log and gamma ray (GR) log data. In the combination of the wavelet transform and the Fourier transform methods, the wavelet transform, spectrum analysis, and logarithmic transform of well logs were applied to the SP and GR log data successively to obtain clear signals for identifying the stratigraphic formation interface. In this study, a set of ideal log data was first created and analyzed to test the validity of the developed procedures. In analyzing the SP and GR logs from a field, both the wavelet transform method and conventional well log analysis showed similar results. The results from a combination of the wavelet transform and the Fourier transform methods, however, were better than those from the wavelet transform method and the conventional well log analysis.

Original languageEnglish
Pages (from-to)77-92
Number of pages16
JournalComputers and Geosciences
Volume34
Issue number1
DOIs
Publication statusPublished - 2008 Jan

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computers in Earth Sciences

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