Microresistivity Curve Extraction from Borehole Microimager Data

Roslin, Alexandra (2015) Microresistivity Curve Extraction from Borehole Microimager Data. Petrophysics, 56 2: 140-146.

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Author Roslin, Alexandra
Title Microresistivity Curve Extraction from Borehole Microimager Data
Journal name Petrophysics   Check publisher's open access policy
ISSN 1529-9074
Publication date 2015-04-01
Year available 2015
Sub-type Article (original research)
Open Access Status Other
Volume 56
Issue 2
Start page 140
End page 146
Total pages 7
Place of publication Houston, TX United States
Publisher Society of Petrophysicsts and Well Log Analysts (S P W L A)
Language eng
Formatted abstract
This paper describes a new automatic processing methodology for extracting microresistivity curves from electrical borehole images in unconventional reservoirs.  Real wireline geophysical data were used to develop the technique.  

Resistivity curves are mostly used for reservoir identifcation when the separation between shallow and deep readings is interpreted as a sign of permeable layer.  Being true for the conventional reservoirs, this rule does not work for the unconventional ones, the coal-seam-gas reservoir is among them. The latter is described by more complex relationships between its formation properties and most of them are still to be established.  

Coal-seam reservoirs are commonly characterized by their density and fracture distribution, which, in turn,  affects wireline geophysical-log response. Both of the former mentioned properties are related to the lithotype layering, or brightness, and the thermal-maturity rate and this study investigates the use of microresistivity data for their determination.

Borehole electrical images have been chosen as a source of microresistivity data and an algorithm for extraction of these data from microresistivity images has been created.  

Data from a specific commercial microresistivity imaging tool data were used with this algorithm, which may require some adjustment to be used with other microimagers. It should be noticed that raw data from the microimager were used prior to any static or dynamic processing.
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Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Chemical Engineering Publications
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Created: Sun, 17 May 2015, 11:16:47 EST by System User on behalf of School of Chemical Engineering