Embedded Discrete Fracture Modeling and Application in Reservoir Simulation
Kamy Sepehrnoori ; Yifei Xu ; Wei Yu
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. Les mer
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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.
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.
1. Introduction 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
Dr. Kamy Sepehrnoori is a professor in the Hildebrand Department of Petroleum and Geosystems Engineering at The University
of Texas at Austin, where he holds the Texaco Centennial Chair in Petroleum Engineering. His research interest and teaching
include computational methods, reservoir simulation, simulation of unconventional reservoirs, enhanced oil recovery modeling,
flow assurance modeling, naturally fractured reservoirs, high-performance computing, and CO2 sequestration. He has been teaching
at The University of Texas for over 35 years and has graduated more than 230 MS and PhD students under his supervision working
mainly in the areas of reservoir simulation and enhanced oil recovery modeling. For the last several years, he has been supervising
a research group in simulation of unconventional reservoirs (shale gas and tight oil reservoirs). Sepehrnoori's research team
along with his colleagues have been in charge of development of several compositional reservoir simulators (i.e., UTCOMPRS,
UTCHEMRS, and UTGEL). Also, more recently, he supervised the development of a software package for embedded discrete fracture
modeling for application in naturally and hydraulically fractured reservoirs. He has published more than 650 articles in journals
and conference proceedings in his research areas. He has also coauthored three books, which have been published by Elsevier.
Sepehrnoori is the director of the Reservoir Simulation Joint Industry Project in the Center for Subsurface Energy and the
Environment. He holds a PhD degree in petroleum engineering from The University of Texas at Austin. 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 5 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. Dr. Wei Yu is the chief technology officer for Sim Tech LLC and a research associate in the Hildebrand
Department of Petroleum and Geosystems Engineering at The University of Texas at Austin. He is an Associate Editor for the
SPE Journal and the Journal of Petroleum Science and Engineering. 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 complex fracture characterization. Yu has authored or coauthored more than 200 technical papers and two
books (Shale Gas and Tight Oil Reservoir Simulation and Embedded Discrete Fracture Modeling and Application in Reservoir Simulation),
and holds five patents. He holds a PhD degree in petroleum engineering from The University of Texas at Austin.