Apparent MVT Lead Mineralization
As Defined by a Linear Regression Sulfate Reduction Geochemical Model Calculated from Lead Production and Reserve Records, and from NURE Program Stream Sediment Geochemical Analyses
Lawrence D. Turner, CPG-11408 DIR Exploration, Inc. December 2016
Introduction DIR showed (Turner and Turner,
2016) that by combining the semi- quantitative
ore resource mation method of Miesch et
esti- al
(1959,1960) with the qualitative lithogeochemical interpretation techniques of Beus and Grigorian (1977), it was possible to statistical- ly model the MVT mineralization system (Wenrich 1985) of uranium- mineralized collapse breccia pipes of northern Arizona. The resulting statistical model makes it possible to detect and predict the magnitude of blind uranium mineralization in northern Arizona from the chemi- cal analyses of surface geochemical samples with accuracy sufficient to guide greenfields reconnaissance and project scale exploration work.
DIR has just completed the same
work for Mississippi Valley Type (“MVT”) lead deposits in Missouri using published average lead ore grades and maps of orebody surface projections for the Old Lead Belt, the Fredericktown area, the Indian Creek area, and the Viburnum Trend. Under the guidance of the same MVT sulfate reduction miner- alization model employed in Turner and Turner (2016), these produc- tion/reserves data were regressed against stream sediment geochemi- cal analyses from the late 1970s
Figure 1. Contoured stream catchment Log10(Mt Pb) values calculated using an algorithm relating historical Pb reserves/production to NURE stream sediment trace metal analyses under the constraints of the MVT sulfate reduction mineralization model. Base map is after Kisvarsányi 2007 (Figure 3) and Leach et al., 2010 (Figure 4). Dark ‘blobs’ repre- sent magnetic highs. Red solids show ore body projections while turquoise lines marks outer boundaries of drainage cells covering the ore deposit projections.
www.aipg.org Apr.May.Jun 2017 • TPG 47
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