Tracking Spatiotemporal Mineral Dissolution Through Quantitative Nuclear Magnetic Resonance Signatures

Mineral dissolution reorganizes pore space through spatiotemporally variable pathways, but non‐invasive tracking remains difficult. We test whether nuclear magnetic resonance (NMR) signatures can diagnose carbonate dissolution by integrating pore‐scale reactive transport simulations with forward modeling of distributions for face dissolution, wormholing, and channeling regimes. Simulated pathways reflect evolving pore coupling between residual matrix pores and macropores formed by dissolution. Face dissolution evolves from single peak to separated peaks and back to single peak as coupling weakens and the matrix is consumed. Wormholing maintains a broad single peak as competing pathways merge, whereas channeling shows transient bimodality followed by rapid peak merging as a dominant conduit expands. A matrix–macropore connectivity index derived from spectra, together with flow‐field tortuosity, shows that earlier matrix–macropore coupling coincides with faster tortuosity reduction and earlier permeability breakthrough at lower porosity. These results support quantitative NMR signatures as indicators of dissolution dynamics.