Author:
Al-Abduljabbar Ahmad,Gamal Hany,Elkatatny Salaheldin
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference41 articles.
1. Ahmed A, Elkatatny S, Abdulraheem A, Mahmoud M, Ali AZ, Mohamed IM (2018) Prediction of rate of penetration of deep and tight formation using support vector machine. Society of Petroleum Engineers, Dammam. https://doi.org/10.2118/192316-MS
2. Akgun F (2002) How to Estimate the maximum achievable drilling rate without jeopardizing safety. Society of Petroleum Engineers, Dammam. https://doi.org/10.2118/78567-MS
3. Al-AbdulJabbar AM, Elkatatny SM (2017) Utilizing field data to understand the effect of drilling parameters and mud rheology on rate of penetration in carbonate formations. Msc dissertation, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran https://eprints.kfupm.edu.sa/id/eprint/140167
4. Al-AbdulJabbar A, Elkatatny S, Abdulhamid Mahmoud A, 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
5. Al-AbdulJabbar A, Elkatatny S, Mahmoud M, Abdelgawad K, Al-Majed A (2019) A robust rate of penetration model for carbonate formation. Journal of Energy Resources Technology 141(4). https://doi.org/10.1115/1.4041840
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