[Paper Review] Numerical simulation of salt migration -- Large deformation in viscoelastic solid bodies
This paper proposes a successive linear approximation method based on updated referential configurations to simulate large deformation in viscoelastic solids, enabling accurate numerical modeling of salt diapirism. The method treats large deformations as a sequence of small incremental steps relative to the current configuration, successfully simulating diapir formation and migration over time with minimal remeshing, even under extreme deformation.
We consider instability of a two layered solid body of a denser material on top of a lighter one. This problem is widely known to geoscientist in sediment-salt migration as salt diapirism. In the literature, this problem has often been treated as Raleigh-Taylor instability in viscous fluids instead of solid bodies. In this paper, we propose a successive linear approximation method for large deformation in viscoelastic solids as a model for salt migration.
Motivation & Objective
- To address the challenge of simulating large deformation in viscoelastic solids, particularly in the context of salt migration.
- To overcome limitations of traditional fluid-based models (e.g., Rayleigh-Taylor instability) that fail to capture solid-like behavior in salt diapirism.
- To develop a robust numerical method that enables stable and accurate simulation of diapir formation under realistic viscoelastic material behavior.
- To demonstrate the feasibility of simulating long-term diapir evolution with minimal remeshing despite extreme deformation.
Proposed method
- The method employs a relative-descriptional formulation, where each time step uses the current deformed configuration as the reference for linearization.
- At each step, constitutive functions are evaluated at the current state and linearized for small incremental deformations, transforming the problem into a sequence of linear boundary value problems.
- The finite element method is used to solve the linearized equations at each step, with boundary conditions applied directly on the current configuration.
- The approach avoids the complexity of incremental data in initial configuration formulations by updating the reference state at every time step.
- The method is implemented in both 2D and 3D domains, using a Mooney-Rivlin-type viscoelastic model for salt and elastic parameters for sediments.
- Mesh updates are performed at each step, but remeshing is rarely needed due to the stability of the incremental approach under large deformations.
Experimental results
Research questions
- RQ1Can a successive linear approximation method effectively simulate large deformation in viscoelastic solids relevant to salt diapirism?
- RQ2How does the proposed method compare to traditional fluid-based Rayleigh-Taylor instability models in capturing diapir formation?
- RQ3To what extent can the method simulate long-term diapir evolution with minimal remeshing under extreme deformation?
- RQ4How do initial perturbations and base rock inclination influence the initiation and morphology of salt structures in a viscoelastic solid model?
Key findings
- The method successfully simulates the formation of salt diapirs over 100 million years, with the diapir reaching maximum height at approximately 20 million years.
- The simulation shows that buoyancy from density inversion drives diapirism, with the diapir becoming mature and stable after 20 million years.
- The deformed mesh at n=300 (30 million years) exhibits large deformation patterns that closely resemble experimental silicone putty models of diapirs.
- When the base rock is gradually inclined by one degree over 10 million years, the model produces a sequence of salt pillows and diapirs forming from right to left, matching geological observations from northern Germany.
- The numerical results qualitatively reproduce the multi-diapir structures observed in the Permian salt complex of northern Germany, validating the model’s geological relevance.
- Despite the use of convenient, non-geologically calibrated material parameters, the method maintains numerical stability and produces physically plausible deformation patterns without frequent remeshing.
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This review was created by AI and reviewed by human editors.