| Autor: |
Chinedu I. Ossai, Ugochukwu I. Duru |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Petroleum, Vol 8, Iss 2, Pp 237-251 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2405-6561 |
| DOI: |
10.1016/j.petlm.2020.08.004 |
| Popis: |
Artificial Intelligence (AI) is becoming popular for the Rate of Penetration (ROP) estimation, hence, the need to study the best techniques and their advantages over empirical models. Various literatures were analysed to determine the prevalence of AI in ROP computation and compare the computation accuracies with empirical models. Artificial Neural Network (ANN) accounted for over 92% of the AI techniques used for ROP computation and Weight on Bit (WOB) mostly influenced the computation accuracy. The accuracy of AI algorithms is better than the empirical models thus, will improve the drilling efficiency, reduce cost and enhance the development of pad wells. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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