Embedded Discrete Fracture Modeling and Application in Reservoir Simulation, Volume 68 (Hardcover)

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.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Series:	Developments in Petroleum Science
Release date:	August 2020
First published:	2020
Authors:	Kamy Sepehrnoori • Yifei Xu • Wei Yu
Dimensions:	229 x 152mm (L x W)
Format:	Hardcover
Pages:	304
ISBN-13:	978-0-12-821872-3
Categories:	Books > Business & Economics > Industry & industrial studies > Primary industries > Mining industry Books > Professional & Technical > Energy technology & engineering > Fossil fuel technologies > Petroleum technology Promotions
LSN:	0-12-821872-X
Barcode:	9780128218723

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