Data Analytics for Drilling Engineering

Lieferzeit: Lieferbar innerhalb 14 Tagen

181,89 

Theory, Algorithms, Experiments, Software, Information Fusion and Data Science

ISBN: 3030340376
ISBN 13: 9783030340377
Autor: Xue, Qilong
Verlag: Springer Verlag GmbH
Umfang: xiii, 312 S., 48 s/w Illustr., 101 farbige Illustr., 312 p. 149 illus., 101 illus. in color.
Erscheinungsdatum: 31.12.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert

Provides a new perspective on challenges in data processing in drilling engineeringContains numerous mathematical models of data processingFacilitates communication and understanding among drilling practitioners

Artikelnummer: 341377 Kategorie:

Beschreibung

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.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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