Data Analytics for Drilling Engineering - Theory, Algorithms, Experiments, Software (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Information Fusion and Data Science
Release date:	December 2019
First published:	2020
Authors:	Qilong Xue
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	312
Edition:	1st ed. 2020
ISBN-13:	978-3-03-034034-6
Categories:	Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Earth & environment > Earth sciences > Meteorology > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-03-034034-1
Barcode:	9783030340346

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