scholarly journals Stratigraphic correlation of wells using discrete wavelet transform with fourier transform and multi-scale analysis

2016 ◽  
Vol 2 (3) ◽  
pp. 137-150 ◽  
Author(s):  
V. Srivardhan
Keyword(s):  
Fourier Transform ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Stratigraphic Correlation ◽  
Scale Analysis ◽  
Multi Scale ◽  
Multi Scale Analysis

Study on Damage Detection of Bridge Based on Wavelet Multi-Scale Analysis

2013 ◽  
Vol 639-640 ◽  
pp. 1010-1014 ◽  
Author(s):  
Ke Ding ◽  
Ting Peng Chen
Keyword(s):  
Wavelet Transform ◽  
Damage Detection ◽  
Detection Method ◽  
Mode Shapes ◽  
Scale Analysis ◽  
Multi Scale ◽  
Damage Location ◽  
Transform Coefficients ◽  
Beam Bridge ◽  
Multi Scale Analysis

The damage detection method based on wavelet multi-scale analysis is presented in the paper. The damage location can be identified by analyzing the multi-scale wavelet transform coefficients of curvatures of mode shapes. The extreme value of wavelet transform coefficients indicates the damage location. But it is difficult to detect the location of defect if the defect is near to the equilibrium position of vibration. In order to solve this problem, we put forward a method which is to add the wavelet transform coefficients of multi modals together. The method can effectively overcome the above problem. Three damage situations of simply supported beam bridge are discussed in the paper. The results show that the peaks of wavelet transform coefficients indicate the damage location of structural. It is possible to pinpoint the damage location based on wavelet multi-scale analysis on curvatures of mode shapes.

scholarly journals Multi-scale analysis of well-logging data in petrophysical and stratigraphic correlation

2010 ◽  
Vol 49 (2) ◽  
Author(s):  
E. Coconi-Morales ◽  
G. Ronquillo-Jarillo ◽  
J. O. Campos-Enríquez
Keyword(s):  
Well Logging ◽  
Stratigraphic Correlation ◽  
Scale Analysis ◽  
Multi Scale ◽  
Multi Scale Analysis

Determinación de los límites locales de una columna estratigráfica (por ejemplo relacionados con ambientes de depósito) representan en particular una gran contribución al análisis y caracterización de yacimientos petroleros. En este marco general, las Transformadas de Ondícula, continua y discreta, son aplicadas a datos de registros geofísicos de pozos de un área productora de aceite en el Golfo de México, con el propósito de encontrar periodicidades o ciclos y correlacionarlos con las características litológicas y estratigráficas de los ambientes asociados. Un análisis multiescala de registros geofísicos de pozos (rayos gama, resistividad y potencial espontáneo) fue realizado basado en la transformada de ondicular. En particular los coeficientes ondiculares fueron determinados. El análisis de los escalogramas-espectrogramas permitió obtener pseudolongitudes de onda características para cada escala (frecuencias). Las pseudolongitudes de onda fueron asociadas con posibles periodicidades o periodos deposicionales (ciclos climáticos de Milankovitch) del área de estudio. El caso presentado muestra que el análisis ondicular es una técnica complementaria de gran ayuda para la caracterización de yacimientos, particularmente en la localización de secuencias estratigráficas y de las facies asociadas.

scholarly journals Multi-scale analysis of shell growth increments using wavelet transform

1999 ◽  
Vol 25 (8) ◽  
pp. 877-885 ◽  
Author(s):  
M Toubin ◽  
C Dumont ◽  
E.P Verrecchia ◽  
O Laligant ◽  
A Diou ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Shell Growth ◽  
Scale Analysis ◽  
Multi Scale ◽  
Growth Increments ◽  
Multi Scale Analysis

scholarly journals Multi-Scale Analysis of Line Edge Roughness Based on Wavelet Transform

2010 ◽  
Vol 16 (S2) ◽  
pp. 474-475
Author(s):  
F Wang ◽  
N Li
Keyword(s):  
Wavelet Transform ◽  
Scale Analysis ◽  
Line Edge Roughness ◽  
Multi Scale ◽  
Edge Roughness ◽  
Multi Scale Analysis

Extended abstract of a paper presented at Microscopy and Microanalysis 2010 in Portland, Oregon, USA, August 1 – August 5, 2010.

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