One of the main goals of drilling venture is the minimum drilling cost. The minimum cost for every drilling interval depended upon the trip time. As general rule for any area where the trip time is not given, 1 h for 1,000 ft is used in calculation of cost per foot of drilling. In this study, an attempt is made to develop a model for estimating drilling trip time in the southern Iranian oil fields. For this purpose, drilling data from the drilling daily reports of the drilled wells in three southern Iranian oil fields were gathered. In this work, both an artificial neural networks (ANN) model and a multiple linear regression model have been developed for estimating drilling trip time. The results indicate that the ANN model predicts trip time more accurately than the multiple linear regression model. However, the multiple linear regression model is more usable.
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