£125.73

Springer Data Analytics for Drilling Engineering Textbook

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Description

Bridge the gap between signal processing, data mining, and oil and gas drilling engineering with this specialized text from Springer. As drilling operations become more complex, the need to manage technical data grows. This book addresses the specific signal processing and data mining challenges found in modern drilling environments. Readers will learn about the methods used to solve practical problems such as downhole information transmission, drillstring dynamics, and the spatial attitude of the drillstring. It also covers seismic activity while drilling, providing a technical foundation for engineers working with information fusion and data science. This resource is designed to provide the necessary summary of signal processing and data techniques required to advance drilling engineering practices through improved data analysis and algorithmic application.

Key Features

Addresses signal processing and data mining challenges specific to the drilling engineering industry.

Provides technical methods for managing downhole information transmission and drillstring dynamics.

Covers essential topics including seismic activity while drilling and spatial attitude of the drillstring.

Connects the signal processing community with oil and gas drilling engineering professionals.

Explores the application of algorithms, experiments, and software within the field of data science.

Offers a comprehensive summary of signal processing techniques needed for modern drilling operations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 December 2019
Listed Since
24 September 2019

Barcode

No barcode data available

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