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7/27/2019 Applications of Gamma Ray Logs
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Applications of gamma ray logs
Depth correlations and core-log integration
Total gamma-ray log curves, which are acquired with every toolstring combination, arenormally used to depth match all of the logs obtained in any one hole. The HSGR logfrom the Triple Combo is used as the base curve, and the SGR logs from all the other
toolstrings are interactively matched to it. The depth shift applied to each SGR curve is
propagated to all other logs acquired by that toolstring.
Gamma ray data can also be used for core-log integration, by correlating the naturalgamma results from the whole core multisensor track (WC-MST) with the HSGR and
SGR curves. Furthermore, because the gamma ray log responds principally to
fluctuations in the formation's mineralogy, rather than physical properties such aslithification, it is particularly useful for making regional, inter-hole comparisons between
major lithostratigraphic units (Figure 1).
Figure 1: Regional correlation of major lithostratigraphic units, using total gamma raydata from Leg 189.
Identification of lithology, facies and depositional environment
Naturally radioactive elements tend to have a far greater concentration in shales than in
other sedimentary lithologies, and therefore the total gamma-ray log and, in particular,
the corrected gamma-ray log (HCGR and CGR) and the Th log are frequently used to
derive a "shale volume" (see Ellis 1987 and Rider 1996). In addition, the shape of the
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gamma log curve may be used to reconstruct downhole fluctuations in grain size, and
infer changes in sedimentary facies: the standard approach is to interpret bell shaped
gamma curves as a fining-upwards sequence and funnel shaped gamma curves as acoarsening-upward sequence (Serra & Sulpice 1975). However, these methods are only
likely to be of use in simple sandstone/shale formations, and are subject to error when a
significant proportion of the gamma ray radioactivity originates from the sand sizeddetrital fraction of the rock (see Heslop 1974 and Rider 1990).
Gamma ray data may also be used to help interpret the environment of deposition.
Unconformities can result in the accumulation of phosphatic nodules, which may be
evident in the spectral gamma log as an anomalous spike in U. Increased U values, and inparticular low Th/U ratios, may also be associated with marine condensed sequences
(Myers & Wignall 1987). Doveton (1991) used Th/U ratios to estimate paleo-redox
conditions at the time of deposition, which he used to identify generally transgressive andregressive intervals.
Mineralogy / Geochemistry
The concentrations of the three main radioactive elements in the formation can often beused to give an indication of the mineralogy and/or geochemistry. For example, high Th
values may be associated with the presence of heavy minerals, particularly in channel
sand deposits overlying an erosional unconformity. Increased Th values may also beassociated with an increased input of terrigenous clays (Hassan et al. 1976) (Figure 2).
Figure 2: Spectral gamma-ray data from Hole 1124C, showing high Th values in a
mudstone unit between 420-430 mbsf.
Increases in U are frequently associated with the presence of organic matter. For
example, particularly high U concentrations (>~5 ppm) and low Th/U ratios (
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.
Figure 3: Spectral gamma-ray data from Hole 1172D, showing high U values in an
organic-bearing claystone unit between ~622-640 mbsf.
In sandstones, high K values may be caused by the presence of potassium feldspars ormicas (Humphreys & Lott 1990, Hurst 1990). Glauconite usually produces a very
distinctive, almost diagnostic spike in the K log (Figure 4).
Figure 4: Spectral gamma-ray data from Hole 1171D, showing high K values due to the
presence of glauconite.
In ocean floor volcanics, K can become significantly enriched in secondary alteration
minerals, which are typically found where the formation is more permeable and intense
fluid-rock interactions can occur (Breweret al. 1992). An example of this can be seen in
ODP Hole 896A, where the lowest K values occur in relatively impermeable massiveflows, whereas higher and more variable K concentrations can be correlated with the
more permeable pillow lavas and breccias (Brewer et al, 1998).
More quantitative attempts have been made to derive a mineralogy from the spectralgamma-ray log, which generally involve cross-plotting Th against K (Quirein 1982),
PEFL against K (Schlumberger 1991), or PEFL against Th/K (Schlumberger 1991).
However, the validity of these methods is questionable (Hurst 1990), and it is unlikely
that they are applicable in a wide variety of sedimentary environments.
Cyclostratigraphic analysis
Spectral gamma-ray data can also be used for cyclostratigraphic analysis of theformation, to help identify the frequency of paleoceanographic and/or climatic change
(Figure 5). Data acquired by the recently developed Lamont Multisensor Gamma ray
http://www.ldgo.columbia.edu/BRG/ODP/LOGGING/MANUAL/Pat/fig3.htmlhttp://www.ldgo.columbia.edu/BRG/ODP/LOGGING/MANUAL/Pat/fig4.htmlhttp://www.ldgo.columbia.edu/BRG/ODP/LOGGING/MANUAL/Pat/fig3.html7/27/2019 Applications of Gamma Ray Logs
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Tool will be particularly valuable for time series analysis, due to its very high resolution
(~8 cm).
Figure 5: Spectral gamma-ray data (A) and preliminary spectral analysis (B and C) from
1170D. The power spectrum show the results of spectral analysis over the entire logged
section (B) and the interval where the Th and K data show the most pronounced cyclicity
(C).
http://www.ldgo.columbia.edu/BRG/ODP/LOGGING/MANUAL/Pat/fig5.html