Complementary Entropy and Wavelet Analysis of Drilling-Ability Data

G. Frantziskonis; A. Denis

doi:10.1023/A:1022369213276

Complementary Entropy and Wavelet Analysis of Drilling-Ability Data

G. Frantziskonis, A. Denis

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

The paper combines wavelet and entropy analysis of nonstationary drilling- ability data in order to obtain optimum information on the mechanical behavior of different geological formations. Both methods are multiscale in nature, and while entropy analysis provides information on stationary subdomains, wavelet analysis identifies dominant scales or range of scales at which the entropy analysis is most useful. The combination of the techniques yields relatively simple results that can aid the drilling process by providing information on delays to be expected.

Original language	English (US)
Pages (from-to)	89-103
Number of pages	15
Journal	Mathematical Geology
Volume	35
Issue number	1
DOIs	https://doi.org/10.1023/A:1022369213276
State	Published - Jan 2003
Externally published	Yes

Keywords

Multiscale
Nonstationary
Spatial series
Tunnelling

ASJC Scopus subject areas

Mathematics (miscellaneous)
Earth and Planetary Sciences (miscellaneous)

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title = "Complementary Entropy and Wavelet Analysis of Drilling-Ability Data",

abstract = "The paper combines wavelet and entropy analysis of nonstationary drilling- ability data in order to obtain optimum information on the mechanical behavior of different geological formations. Both methods are multiscale in nature, and while entropy analysis provides information on stationary subdomains, wavelet analysis identifies dominant scales or range of scales at which the entropy analysis is most useful. The combination of the techniques yields relatively simple results that can aid the drilling process by providing information on delays to be expected.",

keywords = "Multiscale, Nonstationary, Spatial series, Tunnelling",

author = "G. Frantziskonis and A. Denis",

note = "Funding Information: The present study initiated before and advanced further during the Summer 2001 visit of GF to CDGA, Bordeaux. GF acknowledges the opportunity for the visit. Support from NSF under grant No. CMS-9812834 is gratefully acknowledged.",

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AU - Denis, A.

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N2 - The paper combines wavelet and entropy analysis of nonstationary drilling- ability data in order to obtain optimum information on the mechanical behavior of different geological formations. Both methods are multiscale in nature, and while entropy analysis provides information on stationary subdomains, wavelet analysis identifies dominant scales or range of scales at which the entropy analysis is most useful. The combination of the techniques yields relatively simple results that can aid the drilling process by providing information on delays to be expected.

AB - The paper combines wavelet and entropy analysis of nonstationary drilling- ability data in order to obtain optimum information on the mechanical behavior of different geological formations. Both methods are multiscale in nature, and while entropy analysis provides information on stationary subdomains, wavelet analysis identifies dominant scales or range of scales at which the entropy analysis is most useful. The combination of the techniques yields relatively simple results that can aid the drilling process by providing information on delays to be expected.

KW - Multiscale

KW - Nonstationary

KW - Spatial series

KW - Tunnelling

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Complementary Entropy and Wavelet Analysis of Drilling-Ability Data

Abstract

Keywords

ASJC Scopus subject areas

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