A New Model for Predicting Rate of Penetration Using an Artificial Neural Network [PDF]
Sensors, 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.
Salaheldin Elkatatny +2 more
doaj +2 more sources
Rate of Penetration Optimization using Moving Horizon Estimation [PDF]
Modeling, Identification and Control, 2016 Increase of drilling safety and reduction of drilling operation costs, especially improvement of drilling efficiency, are two important considerations in the oil and gas industry. The rate of penetration (ROP, alternatively called as drilling speed) is
Dan Sui, Bernt Sigve Aadnøy
doaj +3 more sources
Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network [PDF]
SensorsDue 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 ...
Kai Bai +3 more
doaj +2 more sources
Rate of Penetration Estimation with Parameter Correction
Applied SciencesAccurate estimation of the Rate of Penetration (ROP) is essential for optimizing drilling operations, particularly in deep wells where traditional methods based on nominal depth measurements often fall short.
Dan Sui, Bernt Sigve Aadnøy
doaj +2 more sources
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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Gels, 2023 In this study, the reservoir drill-in fluid (RDF) was modified and optimized to improve the rheological properties and reduce the filtration properties of the drilling fluid used for drilling the oil-bearing zone horizontally.
Neamat Jameel, Jagar A. Ali
doaj +1 more source
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
doaj +1 more source