Data Analytics for Drilling Engineering - Theory, Algorithms, Exp...
- Category Other
- Type E-Books
- Language English
- Total size 54.3 MB
- Uploaded By freecoursewb
- Downloads 89
- Last checked 2 days ago
- Date uploaded 2 years ago
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Infohash : 6F66958D5132E07E82ACF19939E0B19C5321887F
Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software (True EPUB) 
https://CoursePig.com
English | EPUB | 2020 | 324 Pages | ISBN : 3030340341 | 54.32 MB
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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