For thousands of other reports visit RSC's Mineral Intellingence Map
Iluka Resources Ltd.
Summary
| Project: | Eneabba | |
|---|---|---|
| Deposit: | Mineral Separation Plant By-Product | |
| Location: | Australia | |
| Commodities: | Zircon-Monazite-Xenotime-Ilmenite | |
| Date: | 2/18/2020 | |
| Report Code: | JORC | |
| Report Type: | Resource Estimation | |
| Project Stage: | Active Mining & Production | |
| Report details: | 18-2-2020: Iluka Resources Ltd. announces a Resource Estimation report for its Mineral Separation Plant By-Product deposit at the Eneabba project. Initial Ore Reserve Estimate for Eneabba Mineral Sands Project. luka Resources Limited (Iluka) today announc | |
| Resources: | (Reserves, Total): 0.96Mt @ 83.5% HM (0.80Mt HM) | |
| CP/QP: | [Overall Report]: Andrew Walkenhorst (Internal) | |
| ABSTRACT: | luka Resources Limited (Iluka) today announces an Ore Reserve estimate for the Eneabba Mineral Separation Plant (MSP) By-Product deposit following the completion of a Definitive Feasibility Study for the Eneabba MSP By-Product Ore Reserve. This Ore Reserve forms the basis of the Eneabba mineral sands recovery project, located at Eneabba, Western Australia. Eneabba MSP By-Product Ore Reserve The Eneabba MSP By-Product Ore Reserve is estimated to contain a total Ore Reserve of 0.96mt (0.81mt Proved and 0.15mt Probable) at a Heavy Mineral (HM) grade of 83.5%, to contain 0.80mt of HM (0.68mt Proved and 0.12mt Probable). The total Ore Reserve mineral assemblage in HM is estimated to contain approximately 26% zircon and 20% monazite. Further details are provided below. Eneabba Mineral Sands Recovery Project The Eneabba mineral sands recovery project involves the extraction, processing and sale of a historical monazite-rich tailings stockpile that is currently stored in a mining void at Eneabba | |
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