BP uses Integrated Asset Models (IAM) in many of its<br>producing assets to improve its understanding of field<br>performance, to predict fluid flow behavior, troubleshooting<br>and optimizing both short and long term reservoir and well<br>performance issues. BP’s use of IAM technology is typically<br>fit for purpose with model complexity dictated by factors such<br>as asset size and complexity of the problem. The paper will<br>describe how the modeling approach taken by assets with a<br>large well count but low individual well production rates<br>differs from the approach taken by assets with a few high rate<br>wells.


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