Effective coal seam surface modeling with an improved anisotropy-based, multiscale interpolation method

2019 ◽  
Vol 124 ◽  
pp. 72-84 ◽  
Author(s):  
Qingren Jia ◽  
Defu Che ◽  
Wenwen Li
Keyword(s):  
Coal Seam ◽  
Interpolation Method ◽  
Surface Modeling

Foundation of 3D Coal Seam Model Based on the Incremental Insertion and the Shortest Diagonal Methods

2014 ◽  
Vol 551 ◽  
pp. 412-416
Author(s):  
Min Ning Zhao ◽  
Ling Xia Chen ◽  
Ying Su ◽  
Qing Yun Li
Keyword(s):  
Neural Network ◽  
Coal Seam ◽  
Spatial Data ◽  
3D Visualization ◽  
Interpolation Method ◽  
Particle Swarm ◽  
Scattered Data ◽  
Data Interpolation ◽  
Scattered Data Interpolation ◽  
Borehole Data

As the borehole data is sparse , the particle swarm neural network (PSO-BP) spatial data interpolation method is used for scattered data interpolation, which enhances the availability of the data and improves the accuracy of data interpolation. Furthermore, the incremental insertion and the shortest diagonal methods are used in modeling because the modeling speed is high and dynamically updating is convenient, finally, 3D visualization model of the coal seam on the base of Matlab language is realized.

Application of Kriging Method to Evaluation of the Water Inrush Risk

2013 ◽  
Vol 807-809 ◽  
pp. 2294-2298
Author(s):  
Guang Peng Zhang ◽  
Wen Quan Zhang ◽  
Pei Cong Sun ◽  
Kai Zhao ◽  
Zhi Da Liu
Keyword(s):  
Coal Seam ◽  
Coal Mine ◽  
Interpolation Method ◽  
Water Inrush ◽  
Mining Area ◽  
Difficult Problem ◽  
Kriging Interpolation ◽  
Karst Water ◽  
Kriging Interpolation Method ◽  
Floor Water Inrush

The water disaster of floor in coal mine is a difficult problem of production and scientific research. Coal mine workers and scientific-technological workers are very concerned about this problem.The pressure-bearing karst water of 5# limestone poses a threat to production of 8# coal seam. Combining with the method of water inrush coefficient and Kriging interpolation method analyze the possibility of water inrush. The water inrush coefficient contour map has good convexity, verisimilitude and smoothness. Results accord with actual situation and intuitively reflect the 8# coal seam floor water inrush risk .The water inrush coefficient in the actual mining area is not more than 0.1 MPa/m, but in the future and in mining regional the water inrush coefficient could be very big, so we need to take the necessary precautions.

Ab initio band theory approach to electron energy loss near edge structures

1988 ◽  
Vol 46 ◽  
pp. 506-507
Author(s):  
Xudong Weng ◽  
O.F. Sankey ◽  
Peter Rez
Keyword(s):  
Ab Initio ◽  
Local Density ◽  
Interpolation Method ◽  
Atomic Orbital ◽  
Plane Waves ◽  
Large Set ◽  
Theory Approach ◽  
Band Theory ◽  
Atomic Orbitals ◽  
Pseudopotential Calculations

Single electron band structure techniques have been applied successfully to the interpretation of the near edge structures of metals and other materials. Among various band theories, the linear combination of atomic orbital (LCAO) method is especially simple and interpretable. The commonly used empirical LCAO method is mainly an interpolation method, where the energies and wave functions of atomic orbitals are adjusted in order to fit experimental or more accurately determined electron states. To achieve better accuracy, the size of calculation has to be expanded, for example, to include excited states and more-distant-neighboring atoms. This tends to sacrifice the simplicity and interpretability of the method.In this paper. we adopt an ab initio scheme which incorporates the conceptual advantage of the LCAO method with the accuracy of ab initio pseudopotential calculations. The so called pscudo-atomic-orbitals (PAO's), computed from a free atom within the local-density approximation and the pseudopotential approximation, are used as the basis of expansion, replacing the usually very large set of plane waves in the conventional pseudopotential method. These PAO's however, do not consist of a rigorously complete set of orthonormal states.

Phosphorus minerals in tonstein; coal seam 405 at Sośnica-Makoszowy coal mine, Upper Silesia, southern Poland

2013 ◽  
Vol 63 (2) ◽  
pp. 271-281 ◽  
Author(s):  
Magdalena Kokowska-Pawłowska ◽  
Jacek Nowak
Keyword(s):  
Trace Elements ◽  
Coal Seam ◽  
Mineral Composition ◽  
Coal Mine ◽  
Chemical Compositions ◽  
Coal Basin ◽  
Upper Silesia ◽  
Southern Poland ◽  
Basin Area

Abstract Kokowska-Pawłowska, M. and Nowak, J. 2013. Phosphorus minerals in tonstein; coal seam 405 at Sośnica- Makoszowy coal mine, Upper Silesia, southern Poland. Acta Geologica Polonica, 63 (2), 271-281. Warszawa. The paper presents results of research on tonstein, which constitutes an interburden in coal seam 405 at the Sośnica- Makoszowy coal mine, Makoszowy field (mining level 600 m), Upper Silesia, southern Poland. The mineral and chemical compositions of the tonstein differ from the typical compositions described earlier for tonsteins from Upper Silesia Coal Basin area. Additionally, minerals present in the tonsteins include kaolinite, quartz, kaolinitised biotite and feldspars. The presence of the phosphatic minerals apatite and goyazite has been recognized. The presence of gorceixite and crandallite is also possible. The contents of CaO (5.66 wt%) and P2O5 (6.2 wt%) are remarkably high. Analysis of selected trace elements demonstrated high contents of Sr (4937 ppm) and Ba (4300 ppm), related to the phosphatic minerals. On the basis of mineral composition the tonstein has been identified as a crystalline tonstein, transitional to a multiplied one.

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