| 書(shū)目名稱(chēng) | Shale Analytics |
| 副標(biāo)題 | Data-Driven Analytic |
| 編輯 | Shahab D. Mohaghegh |
| 視頻video | http://file.papertrans.cn/867/866311/866311.mp4 |
| 概述 | Describes the use of artificial neural networks and fuzzy sets in petroleum engineering.Explains data mining in petroleum engineering.Demonstrates the only data driven reservoir modeling and productio |
| 圖書(shū)封面 |  |
| 描述 | .This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering?.Shale Analytics., it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design.?The flexibility and power of the technique is demonstrated in numerous real-world situations.. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Data Mining of Shale Well Information; Data-Driven Analytics; Hydraulic Fracturing in Shale; Production |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-48753-3 |
| isbn_softcover | 978-3-319-84008-6 |
| isbn_ebook | 978-3-319-48753-3 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
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