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Data Analytics for Drilling Engineering [[electronic resource] ] : Theory, Algorithms, Experiments, Software / / by Qilong Xue



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Autore: Xue Qilong Visualizza persona
Titolo: Data Analytics for Drilling Engineering [[electronic resource] ] : Theory, Algorithms, Experiments, Software / / by Qilong Xue Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (324 pages)
Disciplina: 622.3382
Soggetto topico: Engineering geology
Engineering—Geology
Foundations
Hydraulics
Geotechnical engineering
Sociophysics
Econophysics
Signal processing
Image processing
Speech processing systems
Vibration
Dynamical systems
Dynamics
Geoengineering, Foundations, Hydraulics
Geotechnical Engineering & Applied Earth Sciences
Data-driven Science, Modeling and Theory Building
Signal, Image and Speech Processing
Vibration, Dynamical Systems, Control
Nota di contenuto: Introduction to the Application of Drilling Data Processing -- Signal Processing of Downhole Information Transmission -- Dynamic Measurement of Spatial Attitude at the Bottom Rotating DrillString -- Measurement and Analysis of Drillstring Dynamics -- Signal processing in logging while drilling -- Data Mining in Seismic While Drilling -- Applications of Big Data in Drilling Engineering -- Summary and Outlook.
Sommario/riassunto: This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists.
Titolo autorizzato: Data Analytics for Drilling Engineering  Visualizza cluster
ISBN: 3-030-34035-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910741181003321
Lo trovi qui: Univ. Federico II
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Serie: Information Fusion and Data Science, . 2510-1528