Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
2. Naturally and Hydraulically Fractured Reservoirs
3. Numerical Approaches for Modeling Complex Fractures
4. Basic EDFM Approach using Cartesian Grid
5. An Extension of the Embedded Discrete Fracture Model for Modeling Dynamic Behaviors of Complex Fractures
6. Field-Scale Applications of the Embedded Discrete Fracture Model
7. EDFM for Field-Scale Reservoir Simulation with Complex Corner-Point Grids
8. Advanced EDFM Approach Using Unstructured Grids
9. Concluding Remarks
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.
- Highlights the current state-of-the-art in reservoir simulation of unconventional reservoirs
- Offers understanding of the impacts of key reservoir properties and complex fractures on well performance
- Provides case studies to show how to use the EDFM method for different needs
Oil and gas industry; petroleum engineering departments; petroleum engineers, academics and students
- No. of pages:
- © Elsevier 2021
- 1st September 2020
- Hardcover ISBN:
Kamy Sepehrnoori is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, USA, where he holds the W.A. (Monty) Moncrief Centennial Chair in Petroleum Engineering and is the Director of the Reservoir Simulation Joint Industry Project in the Center for Petroleum and Geosystems Engineering. He is a world-famous expert on computational methods, reservoir simulation and numerical solutions to partial differential equations. He holds BS, MS, and PhD degrees, all from the University of Texas at Austin, and to date he has authored two books and published more than 300 technical articles and reports.
Professor, Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, USA
Dr. Yifei Xu is a Senior Research Engineer at ExxonMobil Upstream Research Company. His research interest includes reservoir simulation, reservoir modeling, gridding, naturally and hydraulically fractured reservoirs, and unconventional resources. He has published more than 15 technical papers in his research area. His contributions to this book come from his research as a PhD candidate at The University of Texas at Austin. He worked on the embedded discrete fracture model (EDFM) for more than five years, and he was one of the developers of an EDFM preprocessing code. He holds a PhD degree in petroleum engineering from The University of Texas at Austin.
Senior Research Engineer, ExxonMobil Upstream Research Company, Spring, Texas, USA
Dr. Wei Yu is the Chief Technology Officer for Sim Tech LLC. His research interests include EDFM (Embedded Discrete Fracture Model) technology for modeling any complex fractures, shale gas and tight oil reservoir simulation, EDFM-AI for automatic history matching and well spacing optimization. He is an Associate Editor for SPE Journal, Journal of Petroleum Science and Engineering, and International Journal of Oil, Gas and Coal Technology. Yu authored or coauthored more than 150 technical papers and holds five patents and one book (“Shale Gas and Tight Oil Reservoir Simulation”.) He holds a PhD degree in petroleum engineering from The University of Texas at Austin. Yu is an active member of SPE.
Chief Technology Officer, Sim Tech LLC, Houston, Texas, USA