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๐Ÿ“

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

โœ Scribed by Qilong Xue


Publisher
Springer International Publishing
Year
2020
Tongue
English
Leaves
324
Series
Information Fusion and Data Science
Edition
1st ed. 2020
Category
Library

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โœฆ 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.

โœฆ Table of Contents


Front Matter ....Pages i-xiii
Application of Data Processing in Drilling Engineering: A Review (Qilong Xue)....Pages 1-12
Signal Detection and Processing of Downhole Information Transmission (Qilong Xue)....Pages 13-60
Dynamic Measurement of Spatial Attitude at the Bottom Rotating Drillstring (Qilong Xue)....Pages 61-114
Analysis of Vibration Noise on the Fiber-Optic Gyroscope (Qilong Xue)....Pages 115-137
Measurement and Analysis of Drillstring Dynamics (Qilong Xue)....Pages 139-204
Data Processing and Mining in Seismic While Drilling (Qilong Xue)....Pages 205-246
Signal Processing in Logging While Drilling (Qilong Xue)....Pages 247-278
Prospect of Big Data Application in Drilling Engineering (Qilong Xue)....Pages 279-312

โœฆ Subjects


Engineering; Geoengineering, Foundations, Hydraulics; Geotechnical Engineering & Applied Earth Sciences; Data-driven Science, Modeling and Theory Building; Signal, Image and Speech Processing; Vibration, Dynamical Systems, Control


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