國立虎尾科技大學 |

Shale analytics = data-driven analytics in unconventional resources /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Shale analytics/ by Shahab D. Mohaghegh.
其他題名:	data-driven analytics in unconventional resources /
作者:	Mohaghegh, Shahab D.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiv, 287 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Shale gas - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-48753-3
ISBN:	9783319487533

Shale analytics = data-driven analytics in unconventional resources /
Mohaghegh, Shahab D.

Shale analyticsdata-driven analytics in unconventional resources /[electronic resource] :by Shahab D. Mohaghegh. - Cham :Springer International Publishing :2017. - xiv, 287 p. :ill. (some col.), digital ;24 cm.

Data-Driven Formation Evaluation - Generation of Synthetic Geo-mechanical Well Logs in Shale -- Data-Driven Reservoir Characteristics - Impact of rock and completion parameters in -- Data-Driven Completion Analysis - Analysis, Design and Optimization of Hydraulic Fracturing in Shale -- Data-Driven Reservoir Modeling - Full Field Reservoir Modeling of Marcellus Shale -- Data-Driven Reservoir Modeling - Full Field Reservoir Modeling of Niobrara Formation, DJ Basin -- Data-Driven Reservoir Modeling - AI-Based Proxy of Numerical Reservoir Simulation of Shale.

This book describes the application of modern information technology to reservoir modeling and well management. Data Driven Analytics in Unconventional Resources looks specifically at reservoir modeling and production management of shale reservoirs, since conventional reservoir 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 absence of well-understood and well-defined physics of fluid flow in shale. Also discussed are important insights into completion practices of production from shale Abundant examples and computer code are given that illustrate the operation of Data-Driven Analytics. The flexibility and power of the technique is demonstrated in numerous real-world situations.

ISBN: 9783319487533

Standard No.: 10.1007/978-3-319-48753-3doiSubjects--Topical Terms:

1251420
Shale gas
--Data processing.

LC Class. No.: TD195.G3

Dewey Class. No.: 553.283

Shale analytics = data-driven analytics in unconventional resources /
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520 $a This book describes the application of modern information technology to reservoir modeling and well management. Data Driven Analytics in Unconventional Resources looks specifically at reservoir modeling and production management of shale reservoirs, since conventional reservoir 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 absence of well-understood and well-defined physics of fluid flow in shale. Also discussed are important insights into completion practices of production from shale Abundant examples and computer code are given that illustrate the operation of Data-Driven Analytics. The flexibility and power of the technique is demonstrated in numerous real-world situations.
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