Temperature, pressure, permebility datasets of a 2D hydrothermal model

The numerical datasets are temperatures, pressures, permeabilities of a 2D natural-state hydrothermal system simulated using TOUGH2.

The numerical datasets were used to evaluate a neural network proposed in the following article:

Ishitsuka et al. Modeling unobserved geothermal structures using a physics-informed deep neural network with transfer learning of prior knowledge, under review.

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(Dataset 1: Dataset_Reference.csv, Pretrain_Datasets.zip)

The hydrothermal system had a 2D space with a horizontal width of 2 km and a depth of 1.6 km. The system consists of five geological units with different permeability, and had a fault-controlled permeable region extending vertically. The hydrothermal fluid flowed though the vertical permeable zone.

(Dataset2: Dataset_Reference_Ungaran-Base.csv, Pretrain_Datasets_Ungaran-Base.zip)

The permeability structure of the numerical model is constructed based on the hydrothermal model in Jatmiko et al. (2022). A 10 km long and 5 km deep region of the numerical model is divided into 5,000 elements at 100 m intervals. In the hydrothermal model, the hydrothermal upflow zone is around the summit of the mountain.

Jatmiko BW et al. Resource assessment of Ungaran geothermal field using numerical model and monte carlo simulation. IOP Conference Series: Earth and Environmental Science 2022;1031:2021.

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