For thousands of other reports visit RSC's Mineral Intellingence Map
NioBay Metals Inc.
Summary
| Project: | James Bay | |
|---|---|---|
| Deposit: | James Bay | |
| Location: | Canada | |
| Commodities: | Niobium | |
| Date: | 7/9/2020 | |
| Report Code: | NI43-101 | |
| Report Type: | Resource Estimation | |
| Project Stage: | Pursuing Resource Increase/Upgrade | |
| Report details: | 9-7-2020: NioBay Metals Inc. announces a Resource Estimation report for its James Bay deposit at the James Bay project. Updated Mineral Resource Estimate for Project. The MRE is supported by the results from the recent 3,090 metre drill program by the re- | |
| Resources: | (Resources): 29.7Mt @ 0.53% Niobium (Ind.) & 33.8Mt @ 0.52% Niobium (Inf.) | |
| CP/QP: | [Resource] Jacquelin Gauthier, Dorota El Rassi, Paul Chamois (Not stated,Roscoe Postle Associates Inc.) | |
| ABSTRACT: | The MRE is supported by the results from the recent 3,090 metre drill program by the re-logging and re-sampling of twelve (12) representative historical diamond drill holes, by the preliminary metallurgical testing performed by SGS Lakefield on a composite sample and by all the historical data Niobay recovered from the previous operator: drill logs, assay certificates, surveyed collar coordinates, interpreted geological surface and level plans, interpreted vertical sections, location of the exploration shaft and 1st level, and metallurgical tests. The data used to estimate the Mineral Resource includes 86 diamond drill holes totaling 16,320 metres located within the resource model area. The data includes 3,449 assays, of which 64 have a value of zero for Nb2O5. The estimate was prepared using a block model constrained with 3-D wireframes of the mineralized zone. The niobium oxide grades were interpolated using ordinary kriging, dynamic anisotropy and two passes. | |
Full Report
opaxe is a smart software platform that reconfigures and redistributes information and produces business insights to help mining professionals and investors make better decisions. We utilise technology and machine learning for data collection and human intelligence for the value-added services.
Full Report