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

Xue, Qilong

 
9783030340377: Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software
Brossura
ISBN 10: 3030340376 ISBN 13: 9783030340377
Casa editrice: Springer, 2020

Sinossi

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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Editore
Springer
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
3030340376
ISBN 13 
9783030340377
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
328
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

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

Edizione in evidenza

ISBN 10:  3030340368 ISBN 13:  9783030340360
Casa editrice: Springer, 2020
Brossura