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Research On Lithology Simulation Of Coal Roof And Floor Based On 3D Markov Chain Model

Posted on:2021-12-24Degree:MasterType:Thesis
Country:ChinaCandidate:L RenFull Text:PDF
GTID:2481306308465514Subject:Geological Engineering
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The spatial distribution of coal roof and floor lithology and its engineering properties have a direct impact on coal seam mining methods and efficiency,face management,etc.,which can promote the research of various related coal mine geological issues to a certain extent.Based on the three-dimensional Markov chain model,this paper analyzes and statistics the discrete drilling lithology data in the area,simulates the lithology distribution of the coal seam roof and floor in the study area,and assigns the lithology simulation data to the SGrid model in GOCAD.Display and use the data.This article focuses on applying the statistical method of transition probability to Pingmei No.8 Coal Seam and 15 coal seams.Firstly,Kriging interpolation is performed on the depth and thickness of the 15 coal seam to obtain the spatial law of coal seam occurrence depth and thickness change.Select a working face of the 15 coal seam to simulate the roof and floor lithology,calculate the vertical transition probability between the lithologies at the same interval based on the drilling data in the study area,and establish the Markov chain model;use the Walter phase law to establish the horizontal direction The transition probability matrix above;finally,the conditional simulation method is used to obtain the three-dimensional simulation result of lithology in the study area.The initial simulation results were tested and found that the accuracy rate was not high.According to the test results,the parameters were adjusted and the coal seam was used as a dividing line to simulate the lithology of the upper and lower roof and floor of the coal seam.Finally,the lithology prediction within 50 meters above and below the coal seam was obtained.Through testing again,it is found that its accuracy rate has been significantly improved,and the lithology distribution is more continuous,which is more in line with the stratum deposition law.Comparing the data organization form of T-PROGS software and GOCAD software SGrid model,discover the data organization rules of the two,realize the transfer of attribute data under different data interfaces,and perform 3D display and utilization of lithology simulation data in GOCAD to make rock A three-dimensional cross-sectional view of the results of the performance simulation to complete the visualization results of the excavation simulation in a given area.Studies have shown that the use of three-dimensional Markov chains can interpolate discrete borehole data to simulate continuous formation lithology data.In the process of 3D simulation,the lithological thickness with a thinner layer thickness should be selected as the step length to perform equal interval statistics on the lithological data.If the lithology transfer varies greatly with depth during simulation,the result obtained by the lithology simulation with a small length span is relatively more accurate.In actual operation,the lithology data can be simulated in sections according to the actual situation to obtain better results.Three-dimensional simulation results.The T-PROGS software and the GOCAD software SGrid model have similar data organization forms.The attribute data of the two are transformed into grid positions to make them correspond to each other,and the attribute transfer can be realized.GOCAD software can better perform 3D visualization display analysis of lithology simulation data,such as 3D lithology distribution,3D dynamic profile,excavation simulation visualization,etc.Figure 43 Table 10 Refer 73...
Keywords/Search Tags:lithology prediction, 3D simulation, transfer probability, Markov chain, T-PROGS, GOCAD
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