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Title: Fast high-resolution prediction of multi-phase flow in fractured formations

The success of a thermal water flood for enhanced oil recovery (EOR) depends on a detailed representation of the geometrical and hydraulic properties of the fracture network, which induces discrete, channelized flow behavior. The resulting high-resolution model is typically computationally very demanding. Here, we use the Proper Orthogonal Decomposition Mapping Method to reconstruct high-resolution solutions based on efficient low-resolution solutions. The method requires training a reduced order model (ROM) using high- and low-resolution solutions determined for a relatively short simulation time. For a cyclic EOR operation, the oil production rate and the heterogeneous structure of the oil saturation are accurately reproduced even after 105 cycles, reducing the computational cost by at least 85%. Finally, the method described is general and can be potentially utilized with any multiphase flow model.
Authors:
ORCiD logo [1] ; ORCiD logo [2] ;  [2]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Climate and Ecosystem Sciences Division
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Geosciences Division
Publication Date:
Grant/Contract Number:
AC02-05CH11231
Type:
Accepted Manuscript
Journal Name:
Advances in Water Resources
Additional Journal Information:
Journal Volume: 88; Journal Issue: C; Journal ID: ISSN 0309-1708
Publisher:
Elsevier
Research Org:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1471005
Alternate Identifier(s):
OSTI ID: 1358731

Pau, George Shu Heng, Finsterle, Stefan, and Zhang, Yingqi. Fast high-resolution prediction of multi-phase flow in fractured formations. United States: N. p., Web. doi:10.1016/j.advwatres.2015.12.008.
Pau, George Shu Heng, Finsterle, Stefan, & Zhang, Yingqi. Fast high-resolution prediction of multi-phase flow in fractured formations. United States. doi:10.1016/j.advwatres.2015.12.008.
Pau, George Shu Heng, Finsterle, Stefan, and Zhang, Yingqi. 2015. "Fast high-resolution prediction of multi-phase flow in fractured formations". United States. doi:10.1016/j.advwatres.2015.12.008. https://www.osti.gov/servlets/purl/1471005.
@article{osti_1471005,
title = {Fast high-resolution prediction of multi-phase flow in fractured formations},
author = {Pau, George Shu Heng and Finsterle, Stefan and Zhang, Yingqi},
abstractNote = {The success of a thermal water flood for enhanced oil recovery (EOR) depends on a detailed representation of the geometrical and hydraulic properties of the fracture network, which induces discrete, channelized flow behavior. The resulting high-resolution model is typically computationally very demanding. Here, we use the Proper Orthogonal Decomposition Mapping Method to reconstruct high-resolution solutions based on efficient low-resolution solutions. The method requires training a reduced order model (ROM) using high- and low-resolution solutions determined for a relatively short simulation time. For a cyclic EOR operation, the oil production rate and the heterogeneous structure of the oil saturation are accurately reproduced even after 105 cycles, reducing the computational cost by at least 85%. Finally, the method described is general and can be potentially utilized with any multiphase flow model.},
doi = {10.1016/j.advwatres.2015.12.008},
journal = {Advances in Water Resources},
number = C,
volume = 88,
place = {United States},
year = {2015},
month = {12}
}