A microcomputer geostatistical analysis program for optimal drift location
"The use of geostatistics is rapidly becoming common in the mining industry. Ore reserve estimation by use of geostatistical analysis is one of the major estimation techniques available. However, the geostatistical method is elaborate and not easily understood. Because of the complexity of the geostatistical analysis process, computers are employed to carry out the many matrix calculations. Primarily, the available geostatistical programs have been written for and applied on mainframe or mini-computers. This work develops a geostatistical analysis program for an Apple Ile microcomputer. The programs were developed within the limitations of an eight-bit CPU and 64K RAM. The programs can operate with a maximum of 1,000 initial data points and provide kriging results for a 12,800 point grid. Development of the results can be accomplished in approximately 30 hours. Additional to the geostatistical aspects of this work, programs are included to determine optimal drift locations and to provide graphical representations of results. Optimal drift location is based upon maximum ore grade. The elementary graphical routines provide the capability to create plan view maps of the original drill hole data, create graphical representations of the kriging results and create three-dimensional perspectives of the optimal drift locations"--Abstract, page ii.
Haas, Charles J.
Summers, David A.
Carr, James R.
M.S. in Mining Engineering
Rochester & Pittsburgh Coal Company
University of Missouri--Rolla
ix, 214 pages
© 1984 Neal Borden Nagel, All rights reserved.
Thesis - Citation
Geology -- Statistical methods
Mines and mineral resources -- Statistical methods
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu:80/record=b2693328~S5
Nagel, Neal Borden, "A microcomputer geostatistical analysis program for optimal drift location" (1984). Masters Theses. 4531.
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