Prediction of Polymer Flooding Performance with Neural Network: A Two Polymer Slugs Case

초록

The intent of this manuscript is to propose an efficient recovery factor prediction tool for two polymer-slugs during polymer flooding using ANN. In this regard, a back-propagation algorithm was coupled with six input parameters to predict three outputs parameters via a hidden layer composed of ten neurons. A sensitivy analysis on the parameters were performed to get a better understanding of their influence on the final result.