Abstract
Drilling is one of the most important stages of mining operation, so, optimizing the drilling plays a very effective role in reducing the costs. The first step in drilling optimization is to measure the real-time energy. In this paper, the relationship between the specific energy and the rock properties has been investigated. For this purpose, after determining the 17 soft rock samples' properties, the drilling tests were performed, and the relationship between the specific energy and the rock characteristics including Uniaxial Compressive Strength (UCS), Brazilian Tensile Strength (BTS), porosity, hardness, and abrasivity was investigated using regression analysis. Correlation coefficients were obtained using this method, respectively, 0.727, 0.66, 0.673, 0.612, and 0.763. Also, the presented models were validated using RMSE, MAE, and ANOVA criteria. Rock properties alone can accurately predict drilling energy, allowing for real-time adjustment of drilling parameters and identification of non-optimal drilling times. This method is reliable and quick.
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