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.

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 production engineering technique for unconventional resources – especially shale Examines 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 Includes supplementary material: sn.pub/extras

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