Study of the features of brown coal by pétrographie analysis

Abstract

The paper presents the results of petrographic analysis of five samples of brown coals from the following deposits: Itatskoye, Munayskoye, Arkharo-Boguchanskoye, Kangalasskoye, Baganuur (Mongolia). It was found that the brown coal sample from the Itatskoye deposit (Ro, r = 0.388%) has the lowest vitrinite reflectance, while the brown coal from the Kangalasskoye deposit has the highest reflectance value (Ro, r = 0.490%). An increase in the genetic maturity of the studied samples is associated with a change in the technological properties of their organic matter. It is shown that with an increase in Ro, r, the carbon content (Cdaf) increases, the yield of volatiles decreases, as well as the atomic ratio of H/C and O/C. Visual analysis of polished sections made it possible to determine the maceral composition of the studied coals. The sample of brown coal from the Baganuur deposit (Mongolia) has the highest inertinite content (more than 60%), the sample of the Kangalasskoye deposit contains the largest amount of vitrinite group macerals (86%).

Coal petrography extraction approach based on multiscale mixed-attention-based residual U-net

“…Considering that the high-level features possess abundant semantic information, M2AR-Unet adds SENet [26] to levels (4)(5). SENet can establish the dependence between channels, adaptively calibrate the feature response of each channel, and improve the weight of key channels in the feature map.…”

“…amount of inorganic material [1]. The accurate identification of petrographic compositions is widely performed for various industrial processes, such as hydrogenation, combustion, carbonization, gasification, and for elasto-plastic materials [2][3][4][5]. Since the 1980s, coal petrology has thrived, due to the development of science and technology.…”