Drilling operation optimization using machine learning framework

Author:

Eltrissi MohammadORCID,Yousef Omar,El-Banbi AhmedORCID,Khalaf Fouad

Publisher

Elsevier BV

Reference70 articles.

1. Computational intelligence based prediction of drilling rate of penetration: a comparative study;Ahmed;J. Petrol. Sci. Eng.,2019

2. Estimating drilling parameters for diamond bit drilling operations using artificial neural networks;Akin;Int. J. GeoMech.,2008

3. Application of Neural Networks to Evaluate Factors Affecting Drilling Performance. Doctor of Philosophy Thesis;Al-Basman,2011

4. Managing computational complexity using surrogate models: a critical review;Alizadeh;Res. Eng. Des.,2020

5. Rate of penetration prediction and optimization using advances in artificial neural networks, a comparative study;Amar;IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence,2012

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