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Embedded Discrete Fracture Modeling and Application in Reservoir Simulation - 1st Edition - ISBN: 9780128184790, 9780128196885

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

1st Edition

Authors: Kamy Sepehrnoori Yifei Xu Wei Yu
Hardcover ISBN: 9780128218723
eBook ISBN: 9780128196885
Imprint: Elsevier
Published Date: 11th September 2020
Page Count: 304
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Table of Contents

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


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.

Key Features

  • 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

Readership

Oil and gas industry; petroleum engineering departments; petroleum engineers, academics and students


Details

No. of pages:
304
Language:
English
Copyright:
© Elsevier 2020
Published:
11th September 2020
Imprint:
Elsevier
Hardcover ISBN:
9780128218723
eBook ISBN:
9780128196885

Ratings and Reviews


About the Authors

Kamy Sepehrnoori

Sepehrnoori is a professor in the Hildebrand Department of Petroleum and Geosystems Engineering at The Uni-versity of Texas at Austin, where he holds the Texaco Centennial Chair in Petroleum En¬gineering. 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 30 years and has graduated more than 200 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 soft-ware package for embedded discrete fracture modeling for application in naturally and hydraulically fractured reservoirs. He has published over 600 articles in journals, and conference proceedings in his research areas. He has also coauthored two books, which have been published by Elsevier. Sepehrnoori is the director of the Reservoir Simulation Joint Industry Project in the Center of Petroleum and Geosystems Engineering. He holds a PhD degree in petroleum engineering from The University of Texas at Austin.

Affiliations and Expertise

Professor, Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, USA

Yifei Xu

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.

Affiliations and Expertise

Senior Research Engineer, The University of Texas at Austin, now with ExxonMobil Upstream Research Company, Spring, Texas, USA

Wei Yu

Dr. Wei Yu is the chief technology officer for Sim Tech LLC. His research interests in¬clude EDFM (Embedded Discrete Fracture Model) technology for modeling any com¬plex fractures, shale gas and tight oil reser-voir simulation, EDFM-AI for automatic history matching and well spacing optimi¬zation. 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.

Affiliations and Expertise

Chief Technology Officer, Sim Tech LLC, Houston, Texas, USA