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SRK was initially commissioned in January 2019 to report a maiden Mineral Resource Estimate of the Mizek deposit in accordance with the JORC Code (2012).
This assignment later fed into the Preliminary Feasibility Study carried out by SRK in late 2019 for the development of Mizek. The PFS work mapped out the future for Mizek as an open pit copper gold operation.
The Mizek deposit was first discovered in the 1930’s as a barite deposit; however, exploration during the 1940’s determined economic gold content in the barites along with copper. Minor operations were conducted between 1976 and 1994 resulting in 750 kt of ore being extracted. Mizek operated a gold and copper heap leaching facility between 2002 and 2010, extracting nearly 900 kt of oxide ore annually from two open pits. Heap leaching operations have continued up to 2016, after which the plant was closed. The project site is therefore brownfield and the historical working and facilities will be rehabilitated as part of the planned operation.
The resource model prepared by SRK for Mizek considered the historical data plus recent programmes of verification drilling and sampling completed by the Client staff under technical direction from SRK. As part of this mandate, SRK has provided detailed input to train the Client staff in the standards and protocols that are required to reach and maintain compliance with the JORC Code.
The PFS work carried out by SRK also included detailed geotechnical work to determine optimal slope angles for the open pit. This knowledge was also applied in the generation of the geological model because it provided indications to the structural trends and their impact on the mineralisation. As a result of the PFS, the Mizek project is currently the subject of a Feasibility Study to determine the design and operational parameters and facilitate a board decision to fund the mine and proceed with its development. There is considerable potential to expand the currently known orebody with additional exploration both on the mine site and surrounding areas.
SRK partnered with DeepIQ in an initiative to tailor a combined approach to improve prosepctivity modelling for BHP. By combining advanced data processing, knowledge compilation, geological interpretation and machine learning (ML), the team investigated multiple approaches to support the discovery of large porphyry copper deposits in a well-explored region in the northern Chilean Andes.
SRK designed and managed an exploration program and provided a Mineral Resource estimate in accordance with JORC Code (2012).
Undertook a mineral resource evaluation update as part of a feasibility study.
Independent review of development and reporting of resource estimates for various orebodies.
SRK AU is seeing an uptick in requests from junior explorers to provide an exploration target for Australian Stock Exchange (ASX) releases to the market that follows the guidelines of the JORC Code (2012).
Learn MoreSME hosted a live webinar with SRK's Principal Resource Geologist, Erik Ronald, focused on "Managing Mineral Resource Risk."
Learn MoreBlock variance validation is important for a kriging interpolation, but is not relevant to a non-kriging interpolation, so, the question is how to apply it?
Learn MoreThe mining industry is in a constant state of flux with ever evolving methodologies and technology, however, due to financial constraints and tighter budgets, a smaller piece of the pie is allocated towards R&D with the majority investment used to keep companies a float.
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