A Data Assimilation Enabled Model for Coupling Dual Porosity Flow with Free Flow

Abstract

Coupling of dual porosity flow and free flow arises in many important applications, e.g., groundwater system and industrial filtrations. Existing Stokes-Darcy types of models cannot accurately describe this type of coupled problem since they only consider single porosity media. With the support of lab experiment data we are developing a new coupled multi-physics, multiscale model and an efficient numerical method to solve it. Furthermore, both the lab and field data provide the possibility to improve the accuracy of the model prediction through data assimilation.

Meeting Name

17th International Symposium on Distributed Computing and Applications for Business Engineering and Science, DCABES 2018 (2018: Oct. 19-23, Wuxi, China)

Department(s)

Geosciences and Geological and Petroleum Engineering

Second Department

Mathematics and Statistics

Research Center/Lab(s)

Center for High Performance Computing Research

Comments

This research was supported in part by National Science Foundation grants 1722647 and 1722692, NSFC grant 11701451, Shaanxi Provincial Education Department Scientific Research Program grant 17JK0787, and Natural Science Foundation of Shaanxi Province grant 2018JQ1077.

Keywords and Phrases

data assimilation; fluid flow; high performance computing; reservoir modeling

International Standard Book Number (ISBN)

978-1-5386-7445-1

International Standard Serial Number (ISSN)

2473-3636

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Oct 2018

Link to Full Text

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