The Application of Induction Logging Adaptive Deconvolution Processing in Water Flooded Recognition

Article Preview

Abstract:

The adaptive deconvolution processing is a kind of processing method for different background conditions. The reservoir of FuYang group in Yushulin oil field has the typical uneven feature with low porosity and low permeability. After the oil reservoir flooded by ejecting water, the zones without water and the zones with water interlaced with each other, that makes the induction logging curves with lower longitudinal resolution hardly reflect actual water-flooding condition. This paper takes adaptive deconvolution processing method selecting background conductivities according to the measurement points’ conductivities, which improve the resolution of induction logging data significantly. The processing value of resistivity is similar with the true formation resistivity.This method is better on identifying the water flooded condition of the oil reservoir.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

452-457

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wu Jie, Pang Ju-feng, Xu Jing-shuo. Induction logging geometrical factor theory and application research [J]. Well Logging Technology, 2001, 25 (6) : 417-422. In Chinese.

Google Scholar

[2] Xue Xiao-shu, Hu You. Induction logging signal processing method of the new idea [J]. Petroleum Instruments. 1994, 8 (3) : 153-156. In Chinese.

Google Scholar

[3] Luo Lan, Zhang Geng-ji. Induction logging frequency-domain deconvolution method [J]. Journal of petroleum university (natural science edition), 1999, 23 (3) : 18 to 21. In Chinese.

Google Scholar

[4] Li Shu-guang, Yang Shan-de. Method of induction logging adaptive deconvolution processing and extracting formation parameters[J]. Well Logging Technology,2002,26(1):40-45. In Chinese.

Google Scholar

[5] Liang Yun,Zhao Zheng-wen,Sheng Xiao-Qing,Qin Guang-yuan.To research processing method of array induction logging data[J]. Petroleum Instruments,2006,20(1):32-35. In Chinese.

Google Scholar

[6] Li Shu-guang. Application of array induction logging in salt mud wells[J]. Offshore Oil.2007, 27(4):82-86. In Chinese.

Google Scholar