Derivative analysis of geophysical borehole traces

Aaron C Davis; Niels B. Christensen

doi:10.1071/ASEG2015ab167

24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery

ISSN: 2202-0586
E-ISSN:

oa Derivative analysis of geophysical borehole traces
Authors Aaron C Davis^a and Niels B. Christensen^b
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^a CSIRO 26 Dick Perry Ave Kensington, WA, [email protected] ^b Arhus University, C.F. Moellers Alle 4 DK-8000, Aarhus C, , Denmark, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2015, Issue 24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery, Dec 2015, p. 1 - 3
DOI: https://doi.org/10.1071/ASEG2015ab167
- Published online: 01 Dec 2015

Abstract

We present a derivative analysis method that automatically detects and selects layers in any geophysical borehole trace. Using a wavelet analysis, we delineate relevant boundaries from inflection points. This allows for the automatic, objective detection of layers.

Our software classifies layers based on importance in the geophysical data, and allows a user to select blocked layers based on total number of layers detected, a portion of the total layers, minimum layer thickness or the number of layers detected using a minimum operator width.

We demonstrate the effectiveness of the layer blocking technique with some field examples in Western Australia and New South Wales for aquifer detection and soil classification.

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2015-12-01

2026-01-15

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References

Choudhury, S. et al., 2007, Use of Wavelet Transformation for Geophysical Well-Log Data Analysis, in Digital Signal Processing, 2007 15th International Conference on: Digital Signal Processing, 2007 15th International Conference on. pp. 647-650.
Cooper, G.R.J. and Cowan, D.R., 2009, Blocking geophysical borehole log data using the continuous wavelet transform: Exploration Geophysics,40(2), 233-236.
Corke, P.I., 2011, Robotics, vision and control: fundamental algorithms in MATLAB: Springer.
Davis, A., Munday, T. and George, R.J., 2013, Gascoyne River airborne electromagnetic (AEM) survey - system selection report: CSIRO.
Davis, A.C. and Christensen, N.B., 2013, Derivative analysis for layer selection of geophysical borehole logs: Computers & Geosciences,60(0), 34-40.
Webb, S.J., Cooper, G.R.J. and Ashwal, L.D., 2008, Wavelet and statistical investigation of density and susceptibility data from the Bellevue drill core and Moordkopje borehole, Bushveld Complex, South Africa, in SEG Technical Program Expanded Abstracts 2008: SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists, pp. 11671171. Available at: http://dx.doi.org/10.1190/L3059129

/content/journals/10.1071/ASEG2015ab167

Article Type: Research Article

Keyword(s): blocking; borehole; derivative analysis; layer analysis

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oa Derivative analysis of geophysical borehole traces

Abstract

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