Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Data analytics for drilling engineering : theory, algorithms, experiments, software
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.
Data analytics for drilling engineering : theory, algorithms, experiments, software
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.
Data analytics for drilling engineering : theory, algorithms, experiments, software
Xue, Qilong (Autor:in)
2020
xiii, 312 Seiten
Illustrationen, Diagramme
Literaturangaben
Buch
Englisch
Digitale Signalverarbeitung , Erdölbohrung , Data Mining , Datenanalyse , Bohren Engineering geology , Image processing , Signal processing , Dynamical systems , Vibration , Econophysics , Geotechnical engineering , Engineering—Geology , Hydraulics , Foundations , Speech processing systems , Sociophysics , Dynamics
Data Analytics for Drilling Engineering : Theory, Algorithms, Experiments, Software
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