| 書目名稱 | Data Analytics for Drilling Engineering |
| 副標(biāo)題 | Theory, Algorithms, |
| 編輯 | Qilong Xue |
| 視頻video | http://file.papertrans.cn/263/262696/262696.mp4 |
| 概述 | Provides a new perspective on challenges in data processing in drilling engineering.Contains numerous mathematical models of data processing.Facilitates communication and understanding among drilling |
| 叢書名稱 | Information Fusion and Data Science |
| 圖書封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | oil and gas drilling engineering; measurement and logging while drilling; downhole information transmi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-34035-3 |
| isbn_softcover | 978-3-030-34037-7 |
| isbn_ebook | 978-3-030-34035-3Series ISSN 2510-1528 Series E-ISSN 2510-1536 |
| issn_series | 2510-1528 |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手機版|小黑屋|
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