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Analysis of Production Logs and Calculated Reservoir Properties to Gain a Better Understanding of True Reservoir Quality in from Effort to Eliminate Non-Productive Zones and Enhance Completion Efficiencies in Future Field Development

Wendell Salas1, Cristina Tamayo1, Eliud Menendez1, Mike J. Mullen1, John Sheperd2, Jim Kinser2, Fred LeGrand2, and Dominic Spencer2
1Halliburton, Denver, CO
2Bill Barrett Corp., Denver, CO

As Oil & Gas assets become more mature Operators look to increase completion efficiencies in order to continue field development. Operators have many options when it comes to analysis tools that can be deployed to determine the quality of the reservoir or effectiveness of their completion methods. The most common and widely used tools are Calculated Formation Properties that have been derived from Open Hole Logs through the use of Log Models and Production Logs taken at different time intervals in the early life of the well. Many Operators would like to be able to look at the properties of a reservoir from an open hole log and be able to definitively determine if that sand is going to be economically productive or not. This seems like a simple thing to accomplish, but in reality it is very difficult to be able to definitively determine whether a zone is going to be economical to complete or not. This is even more evident in the tight sands that are common to the Rocky Mountain Region of the United States.

This paper will present one approach used to help determine reservoir quality parameters from the evaluation of production logs coupled with reservoir properties that are derived from Log model interpretations of open hole logs. This analysis can then determine reservoir property cut-offs to be used to differentiate completion designs among different reservoir intervals or eliminate non-productive zones altogether from the completion. In turn, this would allow the Operator to increase their completion efficiency by targeting the most productive zones with improved completion designs and also help reduce costs by eliminating non-productive zones.

AAPG Search and Discovery Article #90092©2009 AAPG Rocky Mountain Section, July 9-11, 2008, Denver, Colorado