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   Articles with "rate penetration" as a keyword



Computational intelligence based prediction of drilling rate of penetration: A comparative study

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recommendations! Published in 2019 at "Journal of Petroleum Science and Engineering"

DOI: 10.1016/j.petrol.2018.09.027

Abstract: Abstract Application of artificial intelligence in the accurate prediction of the rate of penetration (ROP), an important measure of drilling performance, has lately gained significant interest in oil and gas well drilling operations. Consequently, several… read more here.

Keywords: performance; rop; rate penetration; prediction ... See more keywords

Reference dataset for rate of penetration benchmarking

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recommendations! Published in 2021 at "Journal of Petroleum Science and Engineering"

DOI: 10.1016/j.petrol.2020.108069

Abstract: Abstract. In recent years, there were multiple papers published related to rate of penetration prediction using machine learning vastly outperforming analytical methods. There are models proposed reportedly achieving R2 values as high as 0.996. Unfortunately,… read more here.

Keywords: rate penetration; machine learning; dataset; reference ... See more keywords

A rate of penetration (ROP) prediction method based on improved dung beetle optimization algorithm and BiLSTM-SA

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-75703-8

Abstract: In the field of oil drilling, accurately predicting the Rate of Penetration (ROP) is crucial for improving drilling efficiency and reducing costs. Traditional prediction methods and existing machine learning approaches often lack accuracy and generalization… read more here.

Keywords: penetration rop; bilstm; prediction; model ... See more keywords

Gated multilayer perceptron Bayesian fusion network: A geological uncertainty-aware network for rate of penetration prediction in the nonlinear dynamic system of drill string-formation

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recommendations! Published in 2025 at "Physics of Fluids"

DOI: 10.1063/5.0289249

Abstract: Accurate prediction of rate of penetration (ROP) under complex geological conditions is a critical task in geological drilling operations, yet it remains challenging due to the nonlinear relationship of drill string dynamics and uncertainty inherent… read more here.

Keywords: rate penetration; prediction; multilayer perceptron; uncertainty ... See more keywords

Improving Rate-of-Penetration and Reducing State Fluctuation of Drill-String System Based on Multiobjective Optimization

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recommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2025.3567393

Abstract: This article is concerned with the balance between improving rate-of-penetration and suppressing drill-string vibrations by optimizing weight-on-bit and rotational speed. The main contribution of this article lies in three points. First, due to the lack… read more here.

Keywords: drill string; fluctuation drill; rate penetration; string system ... See more keywords

Improvement of Rate of Penetration in Drilling Process Based on TCN-Vibration Recognition

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recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3428650

Abstract: Rate of penetration (ROP) optimization is critical for improving efficiency in the drilling process. Yet most optimization strategies overlook the effect of drill-string vibration, a significant ROP inhibitor. Moreover, effective methods for recognizing vibration using… read more here.

Keywords: recognition; rate penetration; vibration; drilling process ... See more keywords

Dynamics of Drilling Systems With an Antistall Tool: Effect on Rate of Penetration and Mechanical Specific Energy

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recommendations! Published in 2019 at "SPE Journal"

DOI: 10.2118/194487-pa

Abstract: This paper considers the effect of an antistall tool on the dynamics of deep drilling systems. Field results show that the antistall tool increased the rate of penetration (ROP) of drilling systems when compared with… read more here.

Keywords: antistall tool; mechanical specific; rate penetration; drilling systems ... See more keywords

Interpretable Automated Machine Learning Workflow for Intelligent Drilling in the Petroleum Industry: Case Study on Rate of Penetration Prediction

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recommendations! Published in 2025 at "SPE Journal"

DOI: 10.2118/226195-pa

Abstract: Accurate rate of penetration (ROP) prediction is essential for optimizing the drilling process and improving drilling efficiency. Traditional empirical models often struggle to capture the complex nonlinear relationships between ROP and various engineering parameters. In… read more here.

Keywords: machine learning; machine; prediction; model ... See more keywords