Description
Data Analytics for Drilling Engineering, 1st ed. 2020
Theory, Algorithms, Experiments, Software
Information Fusion and Data Science Series
Author: Xue Qilong
Language: EnglishSubjects for Data Analytics for Drilling Engineering:
Approximative price 179.34 €
In Print (Delivery period: 15 days).
Add to cart the book of Xue Qilong
Data Analytics for Drilling Engineering
Publication date: 12-2020
312 p. · 15.5x23.5 cm · Paperback
Publication date: 12-2020
312 p. · 15.5x23.5 cm · Paperback
Approximative price 179.34 €
In Print (Delivery period: 15 days).
Add to cart the book of Xue Qilong
Data Analytics for Drilling Engineering
Publication date: 12-2019
312 p. · 15.5x23.5 cm · Hardback
Publication date: 12-2019
312 p. · 15.5x23.5 cm · Hardback
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.
Introduction to the Application of Drilling Data Processing.- Signal Processing of Downhole Information Transmission.- Dynamic Measurement of Spatial Attitude at the Bottom Rotating DrillString.- Measurement and Analysis of Drillstring Dynamics.- Signal processing in logging while drilling.- Data Mining in Seismic While Drilling.- Applications of Big Data in Drilling Engineering.- Summary and Outlook.
Provides a new perspective on challenges in data processing in drilling engineering
Contains numerous mathematical models of data processing
Facilitates communication and understanding among drilling practitioners
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