An Approach for Productivity Index Prediction Using Neural Networks

Productivity index, a direct mark of production potentials of producing formations from the point of view of practicality, usually is obtained through well testing. In multilayered reservoirs, however, productivity indexes derived from well test data are limited.This paper introduces a new method, which extracts the productivity indexes of seperate zone production in the initial period of development with artificial neural networks. It is a practical and effective indirect productivity index extraction method with high accuracy.