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Data Analytics for Drilling Engineering

Theory, Algorithms, Experiments, Software

  • Qilong Xue
Book
  • 752 Downloads

Part of the Information Fusion and Data Science book series (IFDS)

About this book

Introduction

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.

Keywords

oil and gas drilling engineering measurement and logging while drilling downhole information transmission spatial attitude of drillstring drillstring dynamics measurement science and drilling

Authors and affiliations

  • Qilong Xue
    • 1
  1. 1.China University of GeosciencesBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-34035-3
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-34034-6
  • Online ISBN 978-3-030-34035-3
  • Series Print ISSN 2510-1528
  • Series Online ISSN 2510-1536
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Biotechnology
Energy, Utilities & Environment
Oil, Gas & Geosciences
Engineering