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Use of wavelet transformation for geophysical well-log data analysis

DSpace at IIT Bombay

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Title Use of wavelet transformation for geophysical well-log data analysis
 
Creator CHOUDHURY, S
CHANDRASEKHAR, E
PANDEY, VK
PRASAD, M
 
Subject continuous wavelet transformation
well-logs
hydrocarbon reservoirs
bombay high
 
Description Geophysical well-log (bore-hole) data represent the rock physical properties as a function of depth measured in a well. They aid in demarcating the subsurface horizons, identifying abrupt changes in physical properties of rocks and locating cyclicity (if my) in stratal succession. Rocks document their depositional history, which geoscientists unfold by analyzing different geophysical data, such as well-log data, seismic data, etc. We have applied continuous wavelet transformation technique on one type of well-log data (gamma ray log) Front three wells located in Bombay High oilfield, India. Our analyses have helped to identify the discontinuities, detect the horizons and check the presence of cyclic pattern (if any) in deposition. Among various wavelets that we have used, the Morlet wavelet has proved to be most appropriate to resolve the marker horizons in gamma ray log data. We also conclude that the choice of wavelet is dependent upon the rock intrinsic properties that vary greatly in the space domain (with varying depth).
 
Publisher IEEE
 
Date 2011-10-26T05:20:25Z
2011-12-15T09:11:54Z
2011-10-26T05:20:25Z
2011-12-15T09:11:54Z
2007
 
Type Proceedings Paper
 
Identifier Proceedings of the 2007 15th International Conference on Digital Signal Processing,647-650
978-1-4244-0881-8
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15920
http://hdl.handle.net/100/2367
 
Source 15th International Conference on Digital Signal Processing,Cardiff, WALES,JUL 01-04, 2007
 
Language English