株式会社極東書店トップ ＞ 商品一覧 ＞ Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software. 2020 ed.
商品詳細
Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software. 2020 ed.
・ISBN 978-3-030-34037-7 paper EUR 169.99
￥45,437.- (税込) ※（※）価格はご注文時の参考価格となります。
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お気に入り
★★★
| 著者・編者 | Xue, Qilong, |
|---|---|
| シリーズ | (Information Fusion and Data Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 312 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-54339＞ |
解説
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.