Benchmark datasets of representative geothermal reservoir models with pseudo-geophysical exploration and well data.

A comprehensive investigation of geothermal reservoirs is essential to optimize geothermal energy production and move toward a more sustainable energy future. Various analysis methods and tools have been developed to estimate reservoir conditions and reservoir structures based on geophysical surveys, well data, and other measurement data. In the case of real field data, the actual subsurface structure is unknown, making it difficult to verify the validity of the methods and tools each develops. This data article classifies Japanese geothermal reservoirs and selects two representative structures, which can be representative models for many geothermal fields. Numerical simulations are used to calculate natural conditions and obtain simulated observation data. This paper outlines the methodology employed to construct the reservoir models and to conduct the reservoir simulation. It also describes the approach used to generate resistivity data. The datasets include important reservoir configuration parameters such as rock type, porosity, permeability, rock density, thermal conductivity, and specific heat. It also includes temperature, pressure, and resistivity maps that represent pseudo-geophysical exploration and well data. This comprehensive data set is a valuable resource for further research and analysis in the field of geothermal energy.

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

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.