Abstract

The 2030 vision of Saudi Arabia emphasizes the mining industry due to the country’s substantial mineral wealth potential. The Saudi Arabian soil sediments include substantial quantities of Iron, sulfate, copper, zinc, silver, and gold ores, among others. Recently, Artificial Intelligence and Machine Learning (AI & ML) have gained acclaim in improving engineering processes, resulting in enhanced cost-effectiveness and efficiency. This study focuses on developing the mining protocol by modeling the presence of ore in the soil conditions of Saudi Arbia. This may be implemented effectively employing underwater drones equipped with ore sensors. The examination of AI and ML is conducted with ORANGE machine learning software. The program distinctly delineates the mining procedure approach by illustrating the density fluctuations of ores in relation to survey sectors and ore types. The mining approach categorizes ferrous ores in high-density locations, while nonferrous are classified in low-density parts.

Keywords:2030 vision; Mining; AI and ML techniques; Mining protocol