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Beacon Minerals Ltd.
Summary
| Project: | Jaurdi | |
|---|---|---|
| Deposit: | Black Cat, Lost Dog | |
| Location: | Australia | |
| Commodities: | Gold | |
| Date: | 9/22/2017 | |
| Report Code: | JORC | |
| Report Type: | Resource Estimation | |
| Project Stage: | Pursuing Resource Increase/Upgrade | |
| Report details: | 22-9-2017: Beacon Minerals Ltd. announces a Resource Estimation report for its Black Cat, Lost Dog deposit at the Jaurdi project. Mineral resource estimate + drilling results incl. 31m @ 2.17g/t Au. Beacon has completed 14 RC drill holes which were primar | |
| Resources: | (Resource, I+I): 0.408Mt @ 1.7g/t Au for 21.88koz Au contained at Black Cat | |
| CP/QP: | [Resources]: Richard Finach, Darryl Mapleson (BM Geological Services) | |
| ABSTRACT: | Beacon has completed 14 RC drill holes which were primarily drilled to test the veracity of the historical drilling at Black Cat. This drilling has enabled the Black Cat Mineral Resource to be determined using the JORC 2012 guidelines (Table 2). The Mineral Resource has been drilled out using both reverse circulation and air core drilling techniques; the two techniques were required to drill through the host lithology’s. The Mineral Resource estimate was carried out using 12 holes drilled by Beacon (798 metres) and 165 historical RC and AC drill holes (10,223 metres) were also used (Figure 2). A total of 9 Beacon drill holes were designed to twin historical drill holes and were successfully able to confirm the veracity of the historical dataset. Grade estimation was completed using Ordinary Kriging and Inverse‐Distance‐Squared techniques. Snowden Supervisor was utilised to develop a nested spherical variogram with two structuresfor each domain hosting a suitable sample population. The dataset underwent a normal scores transformation for variogram modelling, before being back‐transformed for grade estimation with 3DS Surpac. Domains lacking a suitable sample population for variogram modelling were estimated using Inverse‐ Distance‐Squared techniques. Resource classification was assigned based on sample density and slope of regression values (Figure 4). A range of cut‐off grades was reviewed (Figure 5); however, 1.0 g/t Au was selected as the cut‐off grade for reporting. | |
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