Abstract:

The integration of permanent downhole gauge data analysis into the history matching process presents a challenge to the reservoir engineer. Permanent downhole gauge data consists of both normal transients and aberrant transients. The former could be said to represent the reservoir model while the latter do not. The analysis process requires a technique for the removal of aberrant transients. This technique would be most broadly applicable if it were to make no assumption about the reservoir model. The use of regression analysis and pattern recognition techniques to solve this problem of identifying aberrant transients was investigated. Pattern recognition techniques were observed to be suitable in certain cases. These techniques also have the advantage of not requiring either a reservoir model or a flow rate history.

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Copyright 2002, Olubusola Olayemi Assumtpa Thomas: Please note that the reports and theses are copyright to their original authors. Authors have given written permission for their work to be made available here. Readers who download reports from this site should honor the copyright of the original authors and may not copy or distribute the work further without the permission of the author, Olubusola Olayemi Assumtpa Thomas.