Evaluation of the performance of artificial neural networks integrated with whale optimization and ant colony optimization algorithms in estimating the drilling rate of penetration and compare with simple neural networks and mathematical conventional models
Rate of penetration (ROP) estimation in a drilling process is very important because it leads to the optimal selection of drilling parameters and reduction of the operating costs. The main purpose of this paper is to modeling and estimating ROP using optimized multilayer perceptron neural network wi...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | Artigo |
| اللغة: | Persa |
| منشور في: |
Semnan University
2021-06-01
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| سلاسل: | مجله مدل سازی در مهندسی |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://modelling.semnan.ac.ir/article_5211_1e1a7d62e35c73a191a3bf9937901d77.pdf |
| الوسوم: |
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