Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software (Information Fusion and Data Science) - Softcover

Xue, Qilong

 
9783030340377: Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software (Information Fusion and Data Science)
Softcover
ISBN 10: 3030340376 ISBN 13: 9783030340377
Publisher: Springer, 2020

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.

"synopsis" may belong to another edition of this title.

Publisher
Springer
Publication date
2020
Language
English
ISBN 10 
3030340376
ISBN 13 
9783030340377
Binding
Paperback
Edition number
1
Number of pages
325

Other Popular Editions of the Same Title

9783030340360: Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software

Featured Edition

ISBN 10:  3030340368 ISBN 13:  9783030340360
Publisher: Springer, 2020
Softcover