Hybrid extreme learning machine for real-time rate of penetration prediction

Hybrid extreme learning machine for real-time rate of penetration prediction

Abstract This study presents a comparative analysis of hybrid Extreme Learning Machine (ELM) models optimized with metaheuristic algorithms Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), and Grey Wolf Optimizer (GWO) for real-time Rate of Penetration (...

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Bibliographic Details
Main Authors: Abdelhamid Kenioua, Omar Djebili, Ammar Touati Brahim
Format: Article
Language:English
Published: SpringerOpen 2025-08-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Rate of penetration
Drilling optimization
Extreme learning machine
Metaheuristic algorithm
Real time
Online Access:https://doi.org/10.1007/s13202-025-02048-x
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https://doi.org/10.1007/s13202-025-02048-x

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