A JULIA-BASED COMPUTATIONAL PACKAGE FOR PREDICTING TEMPERATURE- DEPENDENT SPECIFIC HEAT OF ROCKS USING CHEMICAL COMPOSITION

Accurate prediction of temperature-dependent specific heat in rocks is essential for advanced thermal modelling in geophysical and geothermal applications. This study introduces a comprehensive computational package developed in Julia, designed to calculate the specific heat of various rocks over a temperature range based on their chemical composition. The package leverages the Shomate scheme to match empirical data, ensuring high accuracy in predictions. It
includes an extensive database of specific heat values for a wide array of common rock-forming minerals and compounds, while also allowing users to input custom compounds for tailored analyses. By integrating thermodynamic principles with empirical models, the package effectively computes specific heat variations with temperature, accommodating diverse rock types. The user-friendly interface supports input of chemical composition data—such as SiO2, Al2O3, Fe2O3, and other oxides—enabling geologists and engineers to obtain reliable specific heat estimates across different temperatures. This tool is particularly valuable in scenarios where direct measurement of temperature-dependent specific heat is challenging, offering a robust solution for thermal
management in geological formations.