Embedded Discrete Fracture Modeling and Application in Reservoir Simulation : Volume 68 Hardback
by Kamy (Professor, Hildebrand Department of Petroleum and Geosystems Engineering, The Uni Sepehrnoori, Yifei (Senior Research Engineer, The University of Texas at Austin, now with ExxonMobil Upstream Xu, Wei (Chief Technology Officer, Sim Tech LLC, Houston, Texas, USA<br>Research Associate, Hildebra Yu
Part of the Developments in Petroleum Science series
Hardback
Description
The development of naturally fractured reservoirs, especially shale gas and tight oil reservoirs, exploded in recent years due to advanced drilling and fracturing techniques.
However, complex fracture geometries such as irregular fracture networks and non-planar fractures are often generated, especially in the presence of natural fractures.
Accurate modelling of production from reservoirs with such geometries is challenging.
Therefore, Embedded Discrete Fracture Modeling and Application in Reservoir Simulation demonstrates how production from reservoirs with complex fracture geometries can be modelled efficiently and effectively. This volume presents a conventional numerical model to handle simple and complex fractures using local grid refinement (LGR) and unstructured gridding.
Moreover, it introduces an Embedded Discrete Fracture Model (EDFM) to efficiently deal with complex fractures by dividing the fractures into segments using matrix cell boundaries and creating non-neighboring connections (NNCs).
A basic EDFM approach using Cartesian grids and advanced EDFM approach using Corner point and unstructured grids will be covered. Embedded Discrete Fracture Modeling and Application in Reservoir Simulation is an essential reference for anyone interested in performing reservoir simulation of conventional and unconventional fractured reservoirs.
Information
-
Out of stock
- Format:Hardback
- Pages:304 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:31/08/2020
- Category:
- ISBN:9780128218723
Information
-
Out of stock
- Format:Hardback
- Pages:304 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:31/08/2020
- Category:
- ISBN:9780128218723
