Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels. (2018)

• Record Type: Journal Article
• Authors: Xiao, D.; Fang, F.; Pain, C.C.; Navon, I.M.; Salinas, P.; Wang, Z.
• Is Part Of: International journal of oil, gas and coal technology. Volume 19:Number 3(2018)
• Page Start: 316
• Page End: 339
• Publication Date: 2018
• Subjects: radial basis function -- RBF -- proper orthogonal decomposition -- POD -- reservoir -- hypersurface -- 3D fluvial channel; Petroleum as fuel -- Periodicals; Gas as fuel -- Periodicals; Coal -- Periodicals; Biomass energy -- Periodicals; Hydrogen as fuel -- Periodicals; 662.6
• Languages: English
• ISSNs: 1753-3309

Abstract

A non-intrusive model reduction computational method using hypersurfaces representation has been developed for reservoir simulation and further applied to 3D fluvial channel problems in this work. This is achieved by a combination of a radial basis function (RBF) interpolation and proper orthogonal decomposition (POD) method. The advantage of the method is that it is generic and non-intrusive, that is, it does not require modifications to the original complex source code, for example, a 3D unstructured mesh control volume finite element (CVFEM) reservoir model used here. The capability of this non-intrusive reduced order model (NIROM) based on hypersurfaces representation has been numerically illustrated in a horizontally layered porous media case, and then further applied to a 3D complex fluvial channel case. By comparing the results of the NIROM against the solutions obtained from the high fidelity full model, it is shown that this NIROM results in a large reduction in the CPU computation cost while much of the details are captured. [Received: May 19, 2017; Accepted: December 1, 2017]