Matrix Diffusion in Fractured Media: New Insights Into Power Law Scaling of Breakthrough Curves. Issue 23 (3rd December 2019)

• Record Type: Journal Article
• Authors: Hyman, Jeffrey D.; Rajaram, Harihar; Srinivasan, Shriram; Makedonska, Nataliia; Karra, Satish; Viswanathan, Hari; Srinivasan, Gowri
• Is Part Of: Geophysical research letters. Volume 46:Issue 23(2019)
• Page Start: 13785
• Page End: 13795
• Publication Date: 2019-12-03
• Subjects: Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1029/2019GL085454
• Languages: English
• ISSNs: 0094-8276

Abstract

Abstract: We develop a theoretical model for power law tailing behavior of transport in fractured rock based on the relative dominance of the decay rate of the advective travel time distribution, modeled using a Pareto distribution (with tail decaying as ∼ time −(1+ α ) ), versus matrix diffusion, modeled using a Lévy distribution. The theory predicts that when the advective travel time distribution decays sufficiently slowly ( α <1), the late‐time decay rate of the breakthrough curve is −(1+ α /2) rather than the classical −3/2. However, if α >1, the −3/2 decay rate is recovered. For weak matrix diffusion or short advective first breakthrough times, we identify an early‐time regime where the breakthrough curve follows the Pareto distribution, before transitioning to the late‐time decay rate. The theoretical predictions are validated against particle tracking simulations in the three‐dimensional discrete fracture network simulator dfnWorks, where matrix diffusion is incorporated using a time domain random walk. Key Points: A theoretical model is developed for power law tailing of breakthrough curves influenced by matrix diffusion and heterogeneous advection A threshold decay rate for the advective travel time distribution is identified, below which matrix diffusion produces tail decay rates >−3/2 Matrix diffusion is implemented in high‐fidelity three‐dimensioal discrete fracture network simulations to confirm theoretical predictions