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Abstract

Correlation of geophysical well logs is an exploration technique that has been employed<br>for many years in oil exploration. Over the past decade, a number of new slimline tools<br>have been introduced advancing the application of logging to the smaller diameter mineral<br>exploration boreholes. Interpretation of this data may follow a number of paths. Through<br>the collaborative use of procedures such as: a) univariate, bivariate, or multivariate<br>statistical methods it is often possible to characterize some lithologies that are defined by<br>distinctive physical property signatures; and b) the correlation of distinctive geophysical<br>signatures between adjacent boreholes can be used to establish structural features of the<br>subsurface. In this paper we show that gridding of geophysical parameters as<br>conventionally applied to both ground and airborne surveys can also be applied to a suite<br>of borehole data to produce an image of the subsurface which contains information on<br>both structure and lithology. In this example we present results from a multi-well and<br>multi-parameter survey of the volcanogenic massive sulphide deposit from Duck Pond,<br>Newfoundland.

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/content/papers/10.3997/2214-4609-pdb.204.1997_017
1997-03-23
2024-04-26
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.204.1997_017
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