Data Analytics For Drilling Engineering Theory Algorithms Experiments Software 2020 Edition at Meripustak

Data Analytics For Drilling Engineering Theory Algorithms Experiments Software 2020 Edition

Books from same Author: Qilong Xue

Books from same Publisher: Springer

Related Category: Author List / Publisher List


  • Retail Price: ₹ 16608/- [ 11.00% off ]

    Seller Price: ₹ 14781

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 11.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 11.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Qilong Xue
    PublisherSpringer
    ISBN9783030340377
    Pages312
    BindingHardback
    LanguageEnglish
    Publish YearDecember 2020

    Description

    Springer Data Analytics For Drilling Engineering Theory Algorithms Experiments Software 2020 Edition by Qilong Xue

    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.