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Deep Learning for Regression Problems in Physical Modeling

he project involved predicting the downhole working parameters of an oil rig pump system given it's uphole characteristics through the use of a simulator and various deep learning techniques. The problem was solved through the use of a convolutional neural network, regression and decision trees, and a recurrent neural network (LSTM).

Team Members: 

Chimezie Iwuanyanwu

Ashar Malik

Alex Morales

Joshua Rothfus