Wavelet Deconvolution to Improving Log Vertical Resolution

Abstract:

Improving log vertical resolution is the principal pathway to enhance identification capability for the thin-layers. This paper introduces the method which is based on the wavelet transform and the deconvolution to improve log resolution. First, gain the sub-band information on the different scales after logging curve is decomposed by wavelet. Then the detailed coefficients on the third scale are processed with deconvolution filtering, and the detailed coefficients on the first scale are dealt with threshold denoising. At last, reconstruct the logging curve whose resolution is improved. The processed results of two wells’ logs indicate that the log vertical resolution has been improved obviously using this method, which can satisfy the demands of thin-layer evaluation.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 2922-2925
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.2922
• Online since: May 2013
• Authors: Peng Ju Li, Yu Feng Gu, Huan Huan Liu
• Keywords: Deconvolution, Threshold, Vertical Resolution, Wavelet Transform (WT), Well Logging

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