£121.80

About as cheap as it gets — within 5% of the all-time low it hit 1 month ago.

£122 today · all-time low £120 (Sep 2026) · usually £121

Springer Data Analytics for Drilling Engineering - Springer Reference

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£121.93 £120.05 £120.46 £120.87 £121.28 £121.69 £122.10 28 July 2026 15 August 2026 03 September 2026 21 September 2026 10 October 2026
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Price distribution over 75 days • 3 price levels

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28 days 28 days 19 days · current 0 7 14 21 28 £120 £121 £122 Days at Price

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Most common price: £120 (28 days, 37.3%)

Price range: £120 - £122

Price levels: 3 different prices over 75 days

Description

This comprehensive reference bridges signal processing, data mining, and drilling engineering by presenting practical solutions to downhole challenges including information transmission, drillstring dynamics, spatial attitude measurement, and seismic monitoring during drilling operations. Written for engineers and data scientists working in oil and gas exploration, the book explores real-world signal processing technologies and algorithmic approaches essential for modern drilling applications. The Springer publication combines theoretical foundations with experimental validation and software implementations, making it an invaluable resource for professionals seeking to apply advanced analytics and data science methods to drilling engineering problems. Whether addressing complex downhole communications or analyzing seismic activity while drilling, this text provides the methodologies and insights needed to optimise drilling performance through data-driven decision making.

Key Features

Covers signal processing and data mining techniques specifically applied to downhole information transmission and drillstring dynamics challenges.

Addresses seismic activity monitoring while drilling and spatial attitude measurement of drillstring using proven analytical methods.

Combines theoretical foundations with algorithms, experimental results, and software tools for practical drilling engineering applications.

Published by Springer as part of the Information Fusion and Data Science series for academic and professional reference.

Bridges the gap between signal processing communities and oil and gas drilling engineering professionals through comprehensive technical content.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 December 2020
Listed Since
04 December 2020

Barcode

No barcode data available

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