Shale Analytics
Data-Driven Analytics in Unconventional Resources
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Beschreibung
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.
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.
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
Autor*in
Shahab D. Mohaghegh
Themen in »Shale Analytics«
Data Mining of Shale Well Information Data-Driven Analytics Hydraulic Fracturing in Shale Production Engineering of Shale Reservoir Engineering of Shale Unconventional Resources economic geology mineral resources