Using neural networks for candidate selection and well performance prediction in water-shutoff treatments using polymer gels—a field-case study
A Saeedi, KV Camarda, JT Liang - SPE Production & Operations, 2007 - onepetro.org
Using actual field cases, a neural network model was developed to identify candidate wells
and predict well performance for water shutoff treatments using polymer gels. A feed forward
back propagation algorithm was used to develop the neural networks. The before and after
treatment data for 22 wells treated with polymer gels in the Arbuckle formation in central
Kansas were used to train and verify the neural networks.
and predict well performance for water shutoff treatments using polymer gels. A feed forward
back propagation algorithm was used to develop the neural networks. The before and after
treatment data for 22 wells treated with polymer gels in the Arbuckle formation in central
Kansas were used to train and verify the neural networks.
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