Feature-based intelligent models for optimisation of percussive drilling

Author:

Afebu Kenneth Omokhagbo,Liu YangORCID,Papatheou Evangelos

Funder

Petroleum Technology Development Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference45 articles.

1. The use of a drilling simulator to optimize a well drilling plan;Abouzeid;Transactions-Geothermal Resources Council,2001

2. Application and comparison of feature-based classification models for multistable impact motions of percussive drilling;Afebu;Journal of Sound and Vibration,2021

3. LSTM-based approach for predicting periodic motions of an impacting system via transient dynamics;Afebu;Neural Networks,2021

4. Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach;Al-Shargie;Medical & Biological Engineering & Computing,2018

5. Reducing multiclass to binary: A unifying approach for margin classifiers;Allwein;Journal of Machine Learning Research,2000

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