Trevali Releases Updated Resource Estimate for Stratmat Deposit

Trevali Mining Corp. (TSX:TV,OTCQX:TREVF,FWB:4TI) announced an updated resource estimate for its Stratmat Deposit in New Brunswick: Indicated resource of 4.7 million tonnes grading 5.31% zinc, 2.07% lead, 0.41% copper, 48.52 g/t silver and 0.59 g/t gold, and an Inferred resource of 2.40 million tonnes grading 4.76% zinc, 2.07% lead, 0.70% copper, 38.82 g/t silver and 0.42 g/t gold; using a 5% ZnEq cutoff. According to CEO Dr. Mark Cruise, “The resource estimate has successfully increased the Companies confidence in the Stratmat deposit and added significant new tonnage, all very important for the next phase as Trevali advances its growth plans for the Bathurst Mining Camp.”

*ZnEq= ((Cu Grade*Cu Price*Cu Recovery)+(Pb Grade*Pb Price*Pb Recovery)+(Zn Grade*Zn Price*Zn Recover+(Ag Grade*Ag Price*Ag Recovery))/Zn Price. In calculating ZnEq, SRK utilized the three year rolling average commodity prices. Price for Au is $1300 per ounce, Ag is $21.15 per ounce, Cu is $3.00 per pound, Pb is $1.00 per pound, and Zn is $1.00 per pound. A recovery of 88% was applied to Zn, 72% was applied to Pb, 50% was applied to Cu, 45% was applied to Ag, and 0% was applied to Au. The pounds of metal are in-situ and have not had any mining factors applied to them.

As quoted in the press release:

Mineral resources were estimated by Dr. Gilles Arseneau, P. Geo. of SRK Consulting (Canada), Inc. an appropriate “independent qualified persons” as this term is defined in National Instrument 43-101. Dassault Systemes Geovia Gems® version 6.6 (Gems) software was used to review and modify the geological solids provided by Trevali, prepare assay data for geostatistical analysis, construct the block model, estimate metal grades and tabulate mineral resources. The Geostatistical Software SAGE2001was used for geostatistical analysis and variography.

The mineral resource incorporates the results of 339 core boreholes both historical and those drilled by Trevali. The original assay data was composited to 1.5-metre lengths, and then outliers were appropriately capped. Robust variography of the composited and capped data was possible for the Main and S1 Zones, where Ordinary Kriging was used to estimate resources. In the cases of the New, S0, and S5 Zones, variography was inconclusive; and Inverse Distance Squared was used to estimate mineral resources.

A density weighting factor was applied to the S0 and S1 Zones where sufficient data exists to support such weighting. The Main, New, and S5 Zones are not density weighted due to insufficient data.

Mineral resources were estimated into 5-by-5-by-5-metre blocks in multiple passes with successive passes only interpolating a block if it had not been estimated by a previous pass. Blocks were only estimated if at least two drill holes and 3 composites were found during passes one and two. A maximum of 12 composites were used to estimate a block grade. Pass one used a narrow search ellipse based on variography, and pass two used a wider search. During pass three, blocks that had at least two composites within the search ellipse were interpolated. Blocks interpolated during the first pass are categorized as indicated, and blocks interpolated during subsequent passes are categorized as inferred.

A detailed NI 43-101 report will be lodged on SEDAR and the Company’s website within 45-days.

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