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Titlebook: Shale Analytics; Data-Driven Analytic Shahab D. Mohaghegh Book 2017 Springer International Publishing AG 2017 Data Mining of Shale Well Inf

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樓主
發(fā)表于 2025-3-21 16:54:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Shale Analytics
副標(biāo)題Data-Driven Analytic
編輯Shahab D. Mohaghegh
視頻videohttp://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
圖書封面Titlebook: Shale Analytics; Data-Driven Analytic Shahab D. Mohaghegh Book 2017 Springer International Publishing AG 2017 Data Mining of Shale Well Inf
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
doihttps://doi.org/10.1007/978-3-319-48753-3
isbn_softcover978-3-319-84008-6
isbn_ebook978-3-319-48753-3
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:59:44 | 只看該作者
Modeling Production from Shale,Mitchell and his team of geologists and engineers began working on the shale challenge in 1981, trying different combinations of processes and technologies before ultimately succeeding in 1997.
板凳
發(fā)表于 2025-3-22 01:31:14 | 只看該作者
,Shale?Analytics,The realization that much value can be extracted from the data that is routinely collected (and much of it is left unused).
地板
發(fā)表于 2025-3-22 08:22:24 | 只看該作者
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發(fā)表于 2025-3-22 16:33:48 | 只看該作者
Extending the Utility of Decline Curve Analysis,Decline Curve Analysis (DCA) is one of the most utilized and probably the most simple (the least sophisticated) technique in petroleum engineering. DCA is a curve fitting technique that is used to forecast well’s production and to Estimate its Ultimate Recovery (EUR).
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發(fā)表于 2025-3-23 01:10:52 | 只看該作者
Shale Full Field Reservoir Modeling,A quick look at the history of reservoir simulation and modeling indicates that developing full field models (where all the wells in the asset are modeled together as one comprehensive entity) is the common practice for almost all prolific assets.
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發(fā)表于 2025-3-23 03:52:03 | 只看該作者
Restimulation (Re-frac) of Shale Wells,Reference publications about refracturing treatments (re-stimulation) before 1990s are sparse. The first published work on re-frac dates back to 1960 [96], followed by another publication in 1973 [97].
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發(fā)表于 2025-3-23 06:34:49 | 只看該作者
Shahab D. MohagheghDescribes 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
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