Data Analytics for Drilling Engineering : Theory, Algorithms, Experiments, Software

Language: English

Published by Springer, 2020

3030340376 / 9783030340377

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783030340377

Title
Data Analytics for Drilling Engineering : Theory, Algorithms, Experiments, Software
Author
Qilong Xue
Publisher
Springer
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030340376
ISBN 13
9783030340377
Item weight
499 grams
Dimensions
235x155x18 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.03US$ 35.03
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Einbeck, Germany 37574