Author:
Al-AbdulJabbar Ahmad,Mahmoud Ahmed Abdulhamid,Elkatatny Salaheldin
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference42 articles.
1. Abdelgawad K, Elkatatny S, Moussa T, Mahmoud M, Patil S (2018) Real time determination of rheological properties of spud drilling fluids using a hybrid artificial intelligence technique. J Energy Resour Technol 141. https://doi.org/10.1115/1.4042233
2. Ahmed AS, Mahmoud AA, Elkatatny S (2019a) Fracture pressure prediction using radial basis function. In: Proceedings of the AADE National Technical Conference and exhibition, Denver, CO, USA 9–10 April; AADE-19-NTCE-061
3. Ahmed AS, Mahmoud AA, Elkatatny S, Mahmoud M, Abdulraheem A (2019b) Prediction of pore and fracture pressures using support vector machine. In: Proceedings of the 2019 international petroleum technology conference, Beijing, China, 26–28 March; IPTC-19523-MS. https://doi.org/10.2523/IPTC-19523-MS
4. Al-AbdulJabbar A, Elkatatny SM, Mahmoud M, Abdelgawad K, Abdulazeez A (2018) A robust rate of penetration model for carbonate formation. J Energy Resour Technol 141(4):042903–042903-9. https://doi.org/10.1115/1.4041840
5. Al-AbdulJabbar A, Elkatatny S, Mahmoud AA, Moussa T, Al-Shehri D, Abughaban M, Al-Yami A (2020) Prediction of the rate of penetration while drilling horizontal carbonate reservoirs using the self-adaptive artificial neural networks technique. Sustainability 12(4):1376. https://doi.org/10.3390/su12041376
Cited by
22 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献