Computational Methods for Simulation of Dissolution in Porous Media

As a response to rising global demands for energy as well as facing unconventional oil and gas reservoirs with extremely low permeability, many endeavors for developing oilfield technologies have been made. Among oil recovery techniques, acidizing treatment has been remarkably extended. By creating an optimal injection condition, the wormhole dissolution pattern will open a path for easy transportation of oil due to a significant increase in permeability. Fluid transport may take place at different scales referring to pore structure, micro fractures, or distinct fractures, which could be ranging from small to large fractures. For modeling reactive transport at the scale of interest, enhancing comprehension and capability of simulation at the pore scale is important. Various approaches for modeling reactive geochemical systems have been applied including CFD-based methods, lattice Boltzmann method, pore network modeling, molecular dynamics simulation and particle methods. Machine learning as well as artificial intelligence methods are developing as a powerful alternative to time-consuming numerical simulations.

The goal of this Research Topic aims for the applications of frontier computational methods for simulation and optimization of dissolution in porous media from micro- to macroscopic scales. In this regard, original research articles, review articles and high quality technical notes with novel ideas on the simulation and optimization of dissolution in porous media are welcome to be submitted to this issue.

This Research Topic focuses on the latest research in the field of modeling, simulation and optimization for dissolution in porous media from micro- to macroscopic scales. We seek submissions including, but are not limited to, the below themes:

• CFD-based methods
• Lattice Boltzmann method
• Pore network modeling
• Particle methods
• Volume of fluid
• Level set
• Molecular dynamics simulation
• Machine learning and deep learning
• Intelligent methods
• Data-driven methods

Keywords: Dissolution, Porous media, Pore-scale modeling, Computational methods, CFD, Lattice Boltzmann method, Molecular dynamics simulation, Machine learning

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.