PARAMETER ESTIMATION FOR THE REDUCED FRACTURE MODEL VIA A DIRECT FILTER METHOD
In this work, we present a numerical method that provides accurate real-time detection for the widths of the fractures in a fractured porous medium based on observational data on porous medium fluid mass and velocity. To achieve this task, an inverse problem is formulated by first constructing a forward formulation based on the reduced fracture model of the diffusion equation. A parameter estimation problem is then performed online by utilizing a direct filter method. Numerical experiments are carried out to demonstrate the accuracy of our method in approximating the target parameters.
Authors
- Thi‐Thao‐Phuong Hoang (ORCID: https://orcid.org/0000-0002-0694-7460)
- Toan Luu Duc Huynh (ORCID: https://orcid.org/0000-0002-1486-127X)
- Feng Bao
Institutions
- Florida State University (US)
- Auburn University (US)
Publication Details
- Journal
- Journal of Machine Learning for Modeling and Computing
- Published
- 2024-11-12
- DOI
- https://doi.org/10.1615/jmachlearnmodelcomput.2024056400
- Citations
- 3
- Primary Topic
- Hydraulic Fracturing and Reservoir Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.64