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Data Analytics for Drilling Engineering

Theory, Algorithms, Experiments, Software

Language EnglishEnglish
Book Hardback
Book Data Analytics for Drilling Engineering Qilong Xue
Libristo code: 24865091
Publishers Springer Nature Switzerland AG, December 2019
This book presents the signal processing and data mining challenges encountered in drilling engineer... Full description
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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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About the book

Full name Data Analytics for Drilling Engineering
Author Qilong Xue
Language English
Binding Book - Hardback
Date of issue 2019
Number of pages 312
EAN 9783030340346
Libristo code 24865091
Publishers Springer Nature Switzerland AG
Weight 658
Dimensions 155 x 235 x 23

Categories

Earth Sciences, Geography, Environment, Planning > Earth sciences > Meteorology & climatology
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