Title:

Integration of Well Test Data Into Stochastic Modeling

Author:

Eric Tauzin

Year:

1995

Degree:

MS

Adviser:

Horne

File Size:

1208K

View File:

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Access Count:

256

Abstract:

This study developed an algorithm based on Simulated Annealing to constrain the permeability and porosity distributions of a given reservoir model to the well test data collected at several wells. The technique can be used for single or multiple well tests.

In order to keep the execution time of this algorithm within an acceptable range, the perturbation on the pressure transient due to a local heterogeneity is approximated by an analytic in uence function. The results given by this approximation were compared to the results given by a simulator, and found to be reliable.

The algorithm was tested on several examples, showing that the use of the analytic influence function allows considerable reduction in the computing time. Moreover, it was shown that such a constraining leads to a better prediction of a waterflood performed during a longer period of time.


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Copyright 1995, Eric Tauzin: 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, Eric Tauzin.

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