The Fifth International Symposium on Mine Safety Science and Engineering (ISMSSE2021)

47 / 2021-08-22 07:00:23

Predicting the stability of open stopes using Machine Learning

Stope,Machine learning techniques

The Mathews stability graph method was presented for the first time in 1980. This method was developed to assess the stability of open stopes in different underground conditions and it has an impact on evaluating the safety of underground excavations. Originally this method was based on a small number of historical case studies. Later in 1988, this method was extended to more cases and presented by Potvin. Machine learning methods are constantly expanding and are being applied to an extensive number of challenges in many fields. In this research, a Potvin database that consisted of 176 historical case studies was passed to Logistic Regression and Random Forest algorithms to compare their predicting capabilities. The main goal of that approach was to establish a possibility of applying those ML methods to establish the stability of open stopes in underground mining.