Continuous data assimilation for two-phase flow : Analysis and simulations

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Article number111395
Journal / PublicationJournal of Computational Physics
Volume466
Online published22 Jun 2022
Publication statusPublished - 1 Oct 2022
Externally publishedYes

Abstract

We propose, analyze, and test a novel continuous data assimilation two-phase flow algorithm for reservoir simulation. We show that the solutions of the algorithm, constructed using coarse mesh observations, converge at an exponential rate in time to the corresponding exact reference solution of the two-phase model. More precisely, we obtain a stability estimate which illustrates an exponential decay of the residual error between the reference and approximate solution, until the error hits a threshold depending on the order of data resolution. Numerical computations are included to demonstrate the effectiveness of this approach, as well as variants with data on sub-domains. In particular, we demonstrate numerically that synchronization is achieved for data collected from a small fraction of the domain.

Research Area(s)

  • Data assimilation, Multiphase flow

Citation Format(s)

Continuous data assimilation for two-phase flow: Analysis and simulations. / Chow, Yat Tin; Leung, Wing Tat; Pakzad, Ali.
In: Journal of Computational Physics, Vol. 466, 111395, 01.10.2022.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review