Using 3D-printed fracture networks to obtain porosity, permeability, and tracer response datasets

Megumi Konno; Alexandros Patsoukis Dimou; Anna Suzuki

doi:10.1016/j.dib.2023.109010

Using 3D-printed fracture networks to obtain porosity, permeability, and tracer response datasets

Data Brief. 2023 Feb 25:47:109010. doi: 10.1016/j.dib.2023.109010. eCollection 2023 Apr.

Authors

Megumi Konno¹, Alexandros Patsoukis Dimou¹, Anna Suzuki¹

Affiliation

¹ Institute of Fluid Science, Tohoku University, 2 Chome-1-1 Katahira, Aoba-ku, Sendai, Miyagi 980-8577, Japan.

Abstract

An in-depth understanding of flow through fractured media is vital to optimise engineering applications, including geothermal energy production, enhanced oil recovery, CO₂ storage, and nuclear waste disposal. Advances in 3D-printing technologies have made it possible to generate 3D printed fracture networks with different fracture characteristics. By performing fluid flow experiments in the 3D-printed fractured networks, the impact of the fracture parameters, such as the density, orientation, aperture, dip, and azimuth, on the overall flow can be investigated. This data article contains a detailed description of the framework followed to design fractured networks with different fracture parameters and to create 3D-printed samples, including fracture networks. Furthermore, it contains the experimental protocols used to measure the porosity, permeability, and tracer responses of the 3D-printed samples. The generated datasets provided include geometry data describing the fracture networks, as well as porosity, permeability and tracer response data obtained from flow experiments conducted in the fracture networks.

Keywords: Additive manufacturing; Flow experiment; Fluid Flow; Fluid Transport; Fractured media; Geoscience; Species Transport.