HIGHLIGHTS
- who: Hongtao Liu and colleagues from the School of Petroleum Engineering, China University of Petroleum, Beijing, China have published the Article: Rate of Penetration Prediction Method for Ultra-Deep Wells Based on LSTM-FNN, in the Journal: (JOURNAL)
- what: __SECTION__ Conclusions.
- how: For the nonlinear correlation test this paper introduces the mutual information feature selection method.
SUMMARY
A large number of researchers have begun to use fully connected neural_network (FNN) to establish the ROP prediction, and compare it with machine_learning models and ROP equations. Considering the timing characteristics between . . .
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