COMPARISON OF SURFACE SUBSIDENCE PREDICTION USING EMPIRICAL METHOD AND NUMERIC METHOD BASED ON ACTUAL MONITORING DATA DUE TO LONGWALL MINING IN INDONESIA

• Main Author: Husain Taherdito, Ali
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/68007
• Institution: Institut Teknologi Bandung

The application of underground mining methods will increasingly develop in Indonesia. To be able to optimize the application of underground mining it requires a good mine planning. Longwall Mining Method is one of the recognized underground coal mining methods and is also popular because of its high production rate, minimum human resource requirements, and good safety. The environmental issue that cannot be avoided from this mining method is the occurrence of surface subsidence. Surface subsidence for longwall mines is the result of mine progress, allowing subsidence over the mine panels. This study aims to calculate the prediction of land subsidence using empirical and numerical methods and then validate using actual monitoring data in the field. From this research, it can be concluded that the empirical method can be used as an initial calculation for prediction of surface subsidence. Based on calculations using this method, the prediction of the maximum land subsidence in each section is 0.6 meters. Then the finite element numerical method is a method of predicting surface subsidence that can describe the strata movement and can also predict the area that will be affected by surface subsidence. Based on calculations using this method, it is obtained that the maximum land subsidence prediction on line2 in February is 0.017 meters, March is 0.029 meters, April is 0.05 meters, May is 0.112 meters, June is 0.228 meters, July is 0.373, and August is 0.64 meters. Prediction of maximum land subsidence is also carried out on line3 with results in February 0.009 meters, March 0.014 meters, April 0.021 meters, May 0.044 meters, June 0.093 meters, and July 0.203 meters. So based on the actual data validation of the prediction of land subsidence using empirical and numerical methods, it can be concluded that these methods can be applied with prior justification so that the calculation is more accurate.