Multiscale wavelets and upscaling-downscaling for reservoir simulation

by Babaei, Masoud
State: New
£60.99
VAT included - FREE Shipping
Babaei, Masoud Multiscale wavelets and upscaling-downscaling for reservoir simulation
Babaei, Masoud - Multiscale wavelets and upscaling-downscaling for reservoir simulation

Do you like this product? Spread the word!

£60.99 incl. VAT
Only 1 items available Only 1 items available
Delivery: between Wednesday, 4 August 2021 and Friday, 6 August 2021
Sales & Shipping: Dodax EU

Description

The detailed geological models of hydrocarbon reservoirs require a process of upscaling (averaging) to flow models to reduce computational costs and to allow multiple realizations be used for optimal operation design under uncertainty. A drawback of upscaling, however, is the loss of information and an increase of inaccuracy in predictive capacity of complex subsurface processes. This project examines two approaches to tackle the problem. First method is to use naturally multiscale wavelets for operator upscaling, and the second approach is to devise a post-processing step of downscaling of simulation results for upscaled models by use of special functions and operators. It was shown that the first approach encounter shortcomings and deficiencies due to the definitions of the wavelets. However the second technique can drastically reduce conventional errors of upscaling due to representation of simulation properties at coarse scale resolution. The application was examined for enhanced oil recovery processes such as thermal, polymer and surfactant flooding demonstrating the versatility and applicability of the proposed technique.

Contributors

Author:
Babaei, Masoud

Further information

Biography Artist:
Masoud Babaei is currently a lecturer in Petroleum Engineering at the School of Chemical Engineering and Analytical Science of the University of Manchester, UK. Before starting his PhD at Imperial College, London, he obtained an MSc degree in Reservoir Engineering from Sharif University of Technology, Tehran, Iran in 2008.
Language:
English
Number of Pages:
192
Media Type:
Softcover
Publisher:
Scholar's Press

Master Data

Product Type:
Paperback book
Release date:
31 May 2016
Package Dimensions:
0.22 x 0.15 x 0.011 m; 0.336 kg
GTIN:
09783659838682
DUIN:
JIFGE2UPE1T
£60.99
We use cookies on our website to make our services more efficient and more user-friendly. Therefore please select "Accept cookies"! Please read our Privacy Policy for further information.