Permeability estimation conditioned to geophysical downhole log data in sandstones of the northern Galilee Basin, Queensland : methods and application

Jiang, Zhenjiao, Schrank, Christoph, Mariethoz, Gregoire, & Cox, Malcolm (2013) Permeability estimation conditioned to geophysical downhole log data in sandstones of the northern Galilee Basin, Queensland : methods and application. Journal of Applied Geophysics, 93, pp. 43-51.

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Abstract

This study uses borehole geophysical log data of sonic velocity and electrical resistivity to estimate permeability in sandstones in the northern Galilee Basin, Queensland. The prior estimates of permeability are calculated according to the deterministic log–log linear empirical correlations between electrical resistivity and measured permeability. Both negative and positive relationships are influenced by the clay content. The prior estimates of permeability are updated in a Bayesian framework for three boreholes using both the cokriging (CK) method and a normal linear regression (NLR) approach to infer the likelihood function. The results show that the mean permeability estimated from the CK-based Bayesian method is in better agreement with the measured permeability when a fairly apparent linear relationship exists between the logarithm of permeability and sonic velocity. In contrast, the NLR-based Bayesian approach gives better estimates of permeability for boreholes where no linear relationship exists between logarithm permeability and sonic velocity.

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ID Code: 59243
Item Type: Journal Article
Refereed: Yes
Keywords: Sedimentary basin; Cokriging; Normal linear regression; Bayesian; Permeability; Geophysical logs
DOI: 10.1016/j.jappgeo.2013.03.008
ISSN: 0926-9851
Divisions: Current > Schools > School of Earth, Environmental & Biological Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 29 Apr 2013 01:47
Last Modified: 07 May 2013 00:02

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