Percolation theory in reservoir engineering / by Peter R King (Imperial College London, UK), Mohsen Masihi (Sharif University of Technology, Iran).
By: King, P. R. (Peter R.), (Petroleum engineer) [author.]
Contributor(s): Masihi, Mohsen [author.]
Language: English Publisher: Hackensack, New Jersey : World Scientific, 2019Description: xviii, 366 pages : illustrations (some color) ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781786345233Subject(s): Oil reservoir engineering | Soil percolation | Percolation (Statistical physics)DDC classification: 622.3382 LOC classification: TN870.57 | .K56 2019Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
BOOK | COLLEGE LIBRARY | COLLEGE LIBRARY SUBJECT REFERENCE | 622.3382 K5861 2019 (Browse shelf) | Available | CITU-CL-49500 |
Includes bibliographical references.
Contents:
Introduction
Percolation Theory ? The Basics
Continuum Percolation for Geological Models
The Connectivity of Overlapping Sandbodies
Percolation and Fracture Systems
Backbone, Dangling Ends and Effective Permeability
Beyond Simple Percolation
Dynamic Reservoir Prediction Using Percolation
Percolation and Pore-Scale Applications
This book aims to develop the ideas from fundamentals of percolation theory to practical reservoir engineering applications. Through a focus on field scale applications of percolation concepts to reservoir engineering problems, it offers an approximation method to determine many important reservoir parameters, such as effective permeability and reservoir connectivity and the physical analysis of some reservoir engineering properties. Starring with the concept of percolation theory, it then develops into methods to simple geological systems like sand-bodies and fractures. The accuracy and efficiency of the percolation concept for these is explained and further extended to more complex realistic models.
Percolation Theory in Reservoir Engineering primarily focuses on larger reservoir scale flow and demonstrates methods that can be used to estimate large scale properties and their uncertainty, crucial for major development and investment decisions in hydrocarbon recovery.
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