The Method of Average Modulus Based on Wavelet Transform to Recognize the Sequence Stratigraphy Boundaries with Logging Curves

摘要:

文章预览

Choose a wavelet to transform the logging curves, which can obtain a series of scale and depth corresponding to wavelet coefficients. From the view of fourier series expansion and spectrum energy, the wavelet coefficients of optimal scale should be the largest proportion of total spectral energy. Based on the theory above, method of average modulus based on wavelet transform is put forwarded. Find the optimal scale factor through wavelet transforming of logging curves, and establish a correspondence between oscillations characteristic of wavelet coefficients curve of the optimal scale factor and sequence stratigraphy boundaries. This method provides a new way to recognize sequence stratigraphy boundaries.

信息:

期刊:

编辑:

David Wang

页数:

14-17

引用:

Y. L. Yu et al., "The Method of Average Modulus Based on Wavelet Transform to Recognize the Sequence Stratigraphy Boundaries with Logging Curves", Key Engineering Materials, Vol. 500, pp. 14-17, 2012

上线时间:

January 2012

输出:

价格:

$38.00

[1] Guan L., Du Y., Li L. Wavelets in petroleum industry: past, present and future [J]. SPE89952, 2004: 1-9.

[2] Isha Sahni, Horne R.N. Multiresolution wavelet analysis for improved reservoir description [J]. SPE Reservoir Evaluation&Engineering, 2005: 53-69.

DOI: https://doi.org/10.2118/87820-pa

[3] Piotr Mirowski, Nikita Seleznev, David S. McCormick et al. New Software For Well-To-Well Correlation Of Spectroscopy Logs[R]. AAPG Computer Applications in Geology(2005).

[4] LUO Qiu-hong, JI Zhong-ping, WU Nai-geng, etal. NALYSES OF INTRASEASONAL OSCILLATION CHARACTERISTICS OF FLOOD-CAUSING RAINSTORMS IN XIJIANG RIVER VALLEY DURING THE ANNUALLY FIRST RAINING SEASON IN THE PAST YEARS [J]. Journal of Tropical Meteorology, 2011, 17(2): 136-146.