Numerical simulation of wormhole propagation with the mixed hybridized discontinuous Galerkin finite element method
Jiansong Zhang, Jiang Zhu, Yiming Wang, Yanyu Liu, Hui Guo
TL;DR
The paper addresses the numerical simulation of wormhole propagation during acidization in carbonate reservoirs. It introduces a combined hybridized mixed DG framework that jointly treats porosity evolution, Darcy flow, and acid transport, featuring a maximum-principle preserving porosity discretization, an upwind HDG scheme for convection-dominated transport, and hybridization to reduce degrees of freedom. The authors establish existence and uniqueness of the coupled scheme and derive optimal error estimates, supported by a convergence theorem that demonstrates robust performance under practical regularity assumptions. Numerical experiments on elliptic, convection-diffusion, and coupled problems confirm the expected convergence rates and showcase the method's ability to capture wormhole development with significant computational efficiency. Overall, the approach provides a scalable, accurate tool for simulating wormhole growth in fractured media, with potential practical impact on reservoir stimulation design.
Abstract
The acid treatment of carbonate reservoirs is a widely employed technique for enhancing the productivity of oil and gas reservoirs. In this paper, we present a novel combined hybridized mixed discontinuous Galerkin (HMDG) finite element method to simulate the dissolution process near the wellbore, commonly referred to as the wormhole phenomenon. The primary contribution of this work lies in the application of hybridization techniques to both the pressure and concentration equations. Additionally, an upwind scheme is utilized to address convection-dominant scenarios, and a ``cut-off" operator is introduced to maintain the boundedness of porosity. Compared to traditional discontinuous Galerkin methods, the proposed approach results in a global system with fewer unknowns and sparser stencils, thereby significantly reducing computational costs. We analyze the existence and uniqueness of the new combined method and derive optimal error estimates using the developed technique. Numerical examples are provided to validate the theoretical analysis.
