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Cholerny Spammer
Joined: 17 Nov 2010
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Location: England
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 Posted: Sat 3:50, 26 Feb 2011 Post subject: GHD Hair UK Artificial Neural Networks in Coal int |
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Artificial Neural Networks in Coal interpretation of macro-structure
Line. Macro-structural characteristics of coal during the point recognition,[link widoczny dla zalogowanych], its criterion: if the membership is more than 80%,[link widoczny dla zalogowanych], the macro-structure can be considered as feature points; membership greater recognition accuracy is higher. In addition to coal Liangbaosi area macro-structure change, there are other structural problems (such as faults). These outliers were constructed to sudden changes in point of rocks in seismic reflection profiles are similar, so the use of artificial neural network can explain the macro-structural point of coal and the location of breakpoints. L22 line fault, coal macro-structure recognition results in Table l. Decline lL22 macro-structure of money breakpoints and identified a list of Ferret Coal I | IFault point of the macro structure of the line under the curve, the abscissa is the CDP seismic line number,[link widoczny dla zalogowanych], CDP asked the distance of 5m; abscissa for the membership, the unit as a percentage. from the curve of Figure 5 in the membership structure of the macro is very easy to judge point position. by geological and drilling data integrated interpretation, confirmation 656CDP 3 on the border of coal washed; 699CDP erosion of coal for the 3 boundary; 815CDP a breakpoint; 872CDP 33 bifurcation point of coal; 888CDP corresponding to 3E,[link widoczny dla zalogowanych], 3_F coal merge point. 4 Conclusion artificial neural network Liang Po Temple on line L22 to explain macro-structure of coal seam line superimposed surfacing Fig.4TheslacIdngsectioninLine223 4L22 circle of Cuiruo Fei et al: Artificial Neural Networks in Coal interpretation of macro-structure 327 line Figure 5L22 macro-structural characteristics of coal seam point under the curve Fig.5Theprobabi ~ tycurveofm ∞ r0Blructu № ofcoalbedsinLine22 attempt to explain the results are consistent with the manual. the method of computer technology, neural network technology to process seismic data interpretation, the interpretation of the knowledge rise to the level of theory and experience,[link widoczny dla zalogowanych], and quantified, while using a variety of seismic information (especially dynamic information) quantitative analysis of seismic data and to make coal seam structure feature points of macro explanation.
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