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Compressive Failure Mechanisms of NCF Laminates with Double-Hole Defects. [PDF]
Materials (Basel)Cai S, Yan S, Jiang L, Meng Z, Niu Y.
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Steering drilling wellbore trajectory prediction based on the NOA-LSTM-FCNN method. [PDF]
Sci RepGao Y, Wang N, Li F.
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Application of machine learning to accidents detection at directional drilling [PDF]
Journal of Petroleum Science and Engineering, 2020 We present a data-driven algorithm and mathematical model for anomaly alarming at directional drilling. The algorithm is based on machine learning. It compares the real-time drilling telemetry with one corresponding to past accidents and analyses the level of similarity.
Alexey Zaytsev +2 more
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Hybrid machine learning for pullback force forecasting during horizontal directional drilling
Automation in Construction, 2021Abstract This paper presents a hybrid machine learning model for predicting the pullback force in horizontal directional drilling (HDD) construction. The model combines the nondominated sorting genetic algorithm II (NSGA-II) and support vector machine (SVM). NSGA-II is used to optimize two hyperparameters in SVM.
John Matthews, Hongfang Lu
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Journal of Petroleum Science and Engineering, 2020 Abstract Classical sensitivity analysis of machine learning regression models is a topic sparse in literature. Most of data-driven models are complex black boxes with limited potential of extracting mathematical understanding of underlying model self-arranged through the training algorithm.
Dan Sui +2 more
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Electrification of an Innovative Directional Drilling Machine. Sizing and Design Models
2020 AEIT International Annual Conference (AEIT), 2020Vehicle Electrification is a transversal phenomenon which is also transforming the sector of tracked vehicle for construction. As a part of the STIGE project authors are developing an innovative tracked directional machine which is completely electrified.
Luca Pugi +2 more
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Picking the Optimum Directional Drilling Technology (RSS vs PDM): A Machine Learning-Based Model
Volume 10: Petroleum Technology, 2022Abstract Introducing rotary steerable systems (RSS) to the drilling industry has extended the directional drilling envelope to new horizons. Its role in better hole cleaning, faster rate of penetration (ROP), and less stuck pipe incidents is unquestionable. However, it comes with more economical challenges in terms of operating rates and
Mahmoud Omar
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Machine Learning for Improved Directional Drilling
Offshore Technology Conference, 2018Abstract Directional drilling is a complex process involving the remote control of tool alignment and force application to a very long drill string subject to variable external forces. Controlling bit tool face orientation while ensuring adequate rate of penetration (ROP) is quite challenging, with aspects that have been described as ...
Jacob Pollock +4 more
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Journal of Geophysics and EngineeringAbstract Drilling operations in the oil and gas sector demand precise planning and strategic decision-making. This study introduces a comprehensive real-time drilling solution that combines well trajectory planning, drilling simulation with rotary steerable system (RSS) technology, and machine learning (ML) models for enhanced steering ...
Eric Thompson Brantson
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Electrification of Directional Drilling Machines for Sustainable Trenchless Excavations
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2019There is an increasing interest in the development of trenchless digging technologies in order to reduce the environmental impact of infrastructural interventions in crowded urban areas. In this work authors describe some preliminary activities concerning the complete electrification of these machines in order to further reduce their impact in terms of
Pugi, Luca +6 more
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