Three-dimensional geological modeling technology based on PSO-Kriging algorithm
The construction of 3D geological models is crucial for understanding and predicting underground structures.Geological borehole data can reflect the spatial distribution of rock bodies and geological structure characteristics.Based on 23 geological boreholes data in the 11 panel areas of Xiaobaodang No.1 Coal Mine,the method of adding virtual strata is applied to solve the phenomenon of missing and repeated strata,and a total of 27 layers of 3D geological model as well as 2D section model are constructed.In addition,aiming at the difficulty in parameters selection of the traditional Kriging method in complex geological data processing,particle swarm algorithm is used to optimize the three key parameters of traditional Kriging interpolation method,namely,the block gold value(C0),the biased abutment value(C),and the variable range(a),so as to overcome the subjectivity and uncertainty of the parameter selection of the ordinary Kriging interpolation;and actual validation method was utilized using data of four boreholes from the study area to compare the interpolation data.The results show that the RMSE values of the PSO-optimised Kriging algorithm at the four boreholes X3-1,X3-2,K3-4,and K3-5 are reduced to 1.184,1.267,1.606,and 1.560,respectively,which is an average reduction of 31% compared with that calculated by Kriging RMSE.The interpolation results of PSO-Kriging algorithm for No.2-2 coal seam at four drill holes have an error of 1.00 m,0.01 m,0.11 m and 0.03 m compared with the actual values,which are closer to the actual value than Kriging interpolation results,indicating the effectiveness and superiority of the proposed method.
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