High-precision coal seam correlation in the Nui Beo mine, North-Eastern Vietnam, using the blood relation algorithm

Tóm tắt

The Nui Beo coal mine is located in the Southern region of Quang Ninh province and is part of the Hon Gai-Cam Pha coal field. This formation is acknowledged as one of the most promising coal reserve areas in Vietnam. The blood relation algorithm enables comprehensive synthesis of geological data and systematic processing of stratigraphic parameters, facilitating scientifically robust coal seam identification and correlation. However, applying conventional correlation algorithms in the Quang Ninh coal basin has revealed significant limitations, particularly when distinguishing features-poor coal seams. This study, therefore, introduces an innovative application of the blood relation technique to address these challenges. This method employs parameters, including coal seam thickness, interbedded layers, and angle of incidence. The blood relation technique achieved a correct identification rate of 97.33%, yielding higher efficiency compared to the recurrent neural network-RNN method (84.94%) and logistic regression method (70.87%). Therefore, the application of the blood relation technique for coal seam identification eliminated the need for characteristic factors of the coal seams. The algorithm revealed simpler and more environmentally congruent coal seams in the Nui Beo mine compared to other traditional methods. The findings of this study underscore applied mathematical methods in geological research, emphasize their role in identifying coal seams, and assess their compatibility with the sedimentary environment within the mine