Research of Extracting Information about Reservoir Logging Signals Based on Chaos Characteristics

Chun Yan Nie; Rui Li; Wan Li Zhang

doi:10.4028/www.scientific.net/AMM.380-384.3742

Paper Titles

Parameter Estimation of Multicomponent Cubic Phase Signals
p.3726

A Real-Time Sound Data Collection and Transmitting System Based on LabVIEW
p.3730

Improved Principal Component Analysis for Face Image Recognition
p.3734

Extracting of Five Characteristic Parameters Using in Static Gesture Recognition
p.3738

Research of Extracting Information about Reservoir Logging Signals Based on Chaos Characteristics
p.3742

The Image Steganography Method Based on the Nonlinear Optimization
p.3746

Emotion Recognition Based on Chaos Characteristics of Physiological Signals
p.3750

Source Camera Identification Based on In-and-Inter Channel Traces
p.3754

Design of Image Transmission System for Multi Channel Panchromatic TDICCD Camera with Large Field of View
p.3758

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Research of Extracting Information about Reservoir...

Research of Extracting Information about Reservoir Logging Signals Based on Chaos Characteristics

Abstract:

The mechanism of logging signals generating was researched. In the same time, correlation dimension, largest Lyapunov exponent and approximate entropy of chaotic characteristics were extracted. On this basis, chaotic characteristic parameters were applied in processing, analysis and interpretation, try to find chaotic characteristics of different of reservoirs for example oil, water layer and the dry layer. The results showed that chaos characteristics in different reservoir is different, therefore, we can distinguish the different natures of reservoirs by extracting chaos characteristics.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3742-3745

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3742

Citation:

Cite this paper

Online since:

August 2013

Authors:

Chun Yan Nie, Rui Li, Wan Li Zhang

Keywords:

Chaos Characteristic, Logging, Reservoir

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] [U. S] C. Gerry Berger J.A. York, YANG Li, etc Translatation. Impact of chaos on social science[M]. Changsha：Hunan Science and Technology Press，(2000).

Google Scholar

[2] Liu Yong-mei, Song Ke-ou, Liu Da-xin. Study of the surrogate data method for chaos identification of well-log time series[J]．Journal of Harbin Engineering University，2004，25 (2): 217 - 220.

Google Scholar

[3] Wong S F，MALATKAR P．Vibration testing and analysis of ball grid array package solder joints[C]/IEEE 57th Electronic Components and Technology Conference. Reno: IEEE Components，2007：373-380.

DOI: 10.1109/ectc.2007.373825

Google Scholar

[4] Anishchenko V S，Vadivasova T E，Okrokvertskhov G A. Correlation analysis of dynamical chaos[J]. Physica：A，2003，325：199-212.

Google Scholar

[5] Grassberger P, Procaccia I. Measuring the strangeness of strange attractors[J]. Physica D. 1983, 9: 189-208P.

DOI: 10.1016/0167-2789(83)90298-1

Google Scholar

[6] LV Jin-hu. Chaotic time series analysis and its application[M]. Wu Han: Wuhan University Press. (2001).

Google Scholar

[7] Wolf A, Swift J B, Swinney H L, Vastano J A. Determining Lyapunov exponents from a time series[J]. Physica D. 1985, 16(9): 285-317.

DOI: 10.1016/0167-2789(85)90011-9

Google Scholar