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Songliao Basin Xujiaweizi trapped deep volcanic lithology , lithofacies logging Identification

Author: HuangChen
Tutor: PanBaoZhi
School: Jilin University
Course: Earth Exploration and Information Technology
Keywords: Songliao Basin Volcanic rocks Volcanic facies Extreme variance hierarchical clustering Logging Identification Grey Relational Analysis Markov Chain Analysis
CLC: P631.81
Type: Master's thesis
Year: 2007
Downloads: 637
Quote: 5
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Abstract


Expanding exploration in songliao basin, deep volcanic rock, with geological, well logging comprehensive research as the guiding ideology, volcanic rock lithology logging identification and lithofacies change rules were studied, and used to predict the distribution of interwell volcanic lithofacies. Volcanic rock lithology research, USES the grey correlation analysis method for lithology identification, first using the method of extremum variance clustering stratified hierarchical processing the logging data in the studied area, combining with core data name of volcanic rock lithology, build log facies volcanic rock lithology statistical models, and then using grey correlation analysis method to identify the study area of volcanic rock lithology. Volcanic rock lithofacies method with markov chain analysis is studied, first using the method of vertical borehole rock phase change law carries on the summary and analysis, on this basis, try to calculate two-dimensional lithofacies distribution rule. The application of these methods will be volcanic rocks in the study to a certain extent, and one step further. Use of these methods has been expanding exploration in the songliao basin shows well disposed, achieved good practical application effect, for the improvement of volcanic rock lithology logging identification and the precision of lithofacies study is of great significance.

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CLC: > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration > Underground geophysical > Borehole measurements
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