A New Model for Predicting Rate of Penetration Using an Artificial Neural Network. [PDF]
Sensors (Basel), 2020 The drilling rate of penetration (ROP) is defined as the speed of drilling through rock under the bit. ROP is affected by different interconnected factors, which makes it very difficult to infer the mutual effect of each individual parameter.
Elkatatny S +2 more
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network. [PDF]
Sensors (Basel)Due to the uncertainty of the subsurface environment and the complexity of parameters, particularly in feature extraction from input data and when seeking to understand bidirectional temporal information, the evaluation and prediction of the rate of ...
Bai K, Jin S, Zhang Z, Dai S.
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Drilling Efficiency Improvement and Rate of Penetration Optimization by Machine Learning and Data Analytics [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Rate of Penetration (ROP) is one of the important factors influencing the drilling efficiency. Since cost recovery is an important bottom line in the drilling industry, optimizing ROP is essential to minimize the drilling operational cost and capital ...
Sridharan Chandrasekaran +1 more
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Faster Drilling A Three-dimensional Horizontal Well By Integrating Well Path And BHA Design
Journal of Applied Science and Engineering, 2023 Well path design is an important factor in horizontal drilling. A reasonable well profile scheme can significantly reduce drilling drag and torque, which also can enhance drilling rate.
Yuan Long +4 more
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Rudarsko-geološko-naftni Zbornik, 2021 One of the criteria in the operational efficiency of drilling is the rate of penetration of the drill bit. Numerous factors affect the rate of penetration.
Hamidreza Saeedi +3 more
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Reference dataset for rate of penetration benchmarking
Journal of Petroleum Science and Engineering, 2021 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, it is most often impossible to independently verify these claims as the input data is rarely ...
Tunkiel, Andrzej Tadeusz +2 more
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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 [PDF]
مجله مدل سازی در مهندسی, 2021 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.
Ehsan Brenjkar
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Energies, 2020 Shale formations are attractive prospects due to their potential in oil and gas production. Some of the largest shale formations in the mainland US, such as the Tuscaloosa Marine Shale (TMS), have reserves estimated to be around 7 billion barrels ...
Nabe Konate, Saeed Salehi
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Rate of Penetration Prediction Method for Ultra-Deep Wells Based on LSTM–FNN
Applied Sciences, 2022 The drilling process is complex, especially for ultra-deep wells, which face the problems of high temperature, high pressure and poor drilling resistance in their formation.
Hongtao Liu +3 more
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Real-Time Minimization of Mechanical Specific Energy with Multivariable Extremum Seeking
Energies, 2021 Drilling more efficiently and with less non-productive time (NPT) is one of the key enablers to reduce field development costs. In this work, we investigate the application of a data-driven optimization method called extremum seeking (ES) to achieve more
Magnus Nystad +2 more
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