Difference between revisions of "Oil correlation case histories"

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(from book)
 
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The techniques discussed and illustrated in the previous sections have been used by many workers in many basins around the world. In this section, we illustrate two case histories each of oil–oil and oil–source rock correlation, again emphasizing two critical features of successful correlations.
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There are two critical features of successful correlations.
  
 
# Use genetic correlative features, that is, features that result from original source rock input and not from secondary processes such as maturation, migration, or biodegradation.
 
# Use genetic correlative features, that is, features that result from original source rock input and not from secondary processes such as maturation, migration, or biodegradation.
 
# Use a diverse set of correlation criteria from among the arsenal of available tools to avoid misinterpretations arising from the use of a single parameter.
 
# Use a diverse set of correlation criteria from among the arsenal of available tools to avoid misinterpretations arising from the use of a single parameter.
  
The four case histories are from published literature. Only selected aspects of the full studies are discussed here; refer to the original literature for details.
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The four case histories listed here are from published literature. Only selected aspects of the full studies are discussed; refer to the original literature for details.
 
* [[Oil correlation case history: Zala basin, Hungary]]
 
* [[Oil correlation case history: Zala basin, Hungary]]
 
* [[Oil correlation case history: Brazilian offshore basins]]
 
* [[Oil correlation case history: Brazilian offshore basins]]

Revision as of 21:03, 3 March 2014

There are two critical features of successful correlations.

  1. Use genetic correlative features, that is, features that result from original source rock input and not from secondary processes such as maturation, migration, or biodegradation.
  2. Use a diverse set of correlation criteria from among the arsenal of available tools to avoid misinterpretations arising from the use of a single parameter.

The four case histories listed here are from published literature. Only selected aspects of the full studies are discussed; refer to the original literature for details.