Data Set of thermal validation of the numerical model develpment with GeoMechanics/Igg_Hydrates simulator.

This dataset contains the thermal validation of the coupled thermo-fluid-chemical model developed by Prof. Zhang Zhaobin (available at https://gitee.com/geomech/hydrate). The validation is based on an experiment conducted by Y. Sun in 2023 as part of his dissertation work. The model was created using the 2022 version of the simulator, but it is adaptable to future versions. The main objective of this work is to validate the model with experimental data that can reproduce heat transfer within a porous medium, providing insight into the accuracy of the model for simulating thermal processes under various conditions. The dataset includes data from the experiment used to verify the model's predictions, offering a comparison between simulated and experimental thermal behavior. This work and its findings were presented in the publication https://doi.org/10.3390/en16135007. Key Features of the Dataset: Model Description: A coupled thermo-fluid-chemical model for simulating heat transfer in porous media, developed in Python. Experimental Data: Temperature and condition data from the experiments conducted by Y. Sun (2023), stored in the files experiment.xlsx and 20220715氧化钙升温实验..xlsx. Simulation Settings: The model was created with the 2022 version of the simulator but can be adapted for use with future versions (verification_temperatura.py). (repository available at https://github.com/Maryelin-31/thermal_validation) Dataset Format: The data is provided in Excel (.xlsx) format, containing the experimental results with time-series temperature measurements and associated variables. The model's predictions can be compared with these experimental values for validation purposes. This dataset is intended for researchers working on thermal validation and simulations of heat transfer in porous media, particularly those interested in coupled thermo-fluid-chemical models for subsurface applications.