Shale Analytics Data-Driven Analytics in Unconventional Resources /

• Main Author: Mohaghegh, Shahab D. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Subjects: Energy.; Fossil fuels.; Economic geology.; Mineral resources.; Geotechnical engineering.; Data mining.; Fossil Fuels (incl. Carbon Capture).; Data Mining and Knowledge Discovery.; Economic Geology.; Mineral Resources.; Geotechnical Engineering & Applied Earth Sciences.

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 d...

Table of Contents:

• 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.