Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software - Couverture rigide

Livre 6 sur 9: Information Fusion and Data Science

Xue, Qilong

 
9783030340346: Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software
Couverture rigide
ISBN 10 : 3030340341 ISBN 13 : 9783030340346
Editeur : Springer Nature Switzerland AG, 2019

Synopsis

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.

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Éditeur
Springer Nature Switzerland AG
Date d'édition
2019
Langue
anglais
ISBN 10 
3030340341
ISBN 13 
9783030340346
Reliure
Relié
Nombre de pages
325
Coordonnées du fabricant
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