SLN

SLN eramet nickel

Tiébaghi, Népoui, Kouaoua, Thio and Poum

location

New Caledonia

Deposit Style

Laterite

Client

SLN

Commodity

Nickel

SLN Eramet nickel strategic scheduling

The Client's Challenge

Société Le Nickel (SLN) operates five major mining hubs spread across the East and West coasts of New Caledonia. SLN produce high-grade ferronickel from the Doniambo smelter in Noumea. The project requires complex planning and logistics across all mine sites to maintain a consistent and chemically balanced feed to the smelter. However, there are over 300 individual pit phases to schedule and integrate into a single holistic business plan that must also be tactically achievable by production teams at each site. The complexity of the problem is increased by social, environmental and political influences on the timing and sequencing of operations that are often outside the control of the company.

IMC's Solution

IMC Mining worked closely with the client in Noumea to develop a mathematical model of their operations which accounted for all key operational and economic drivers in the value chain. IMC developed a unified scheduling data preparation methodology using the Python programming language that aggregated all inputs and streamlined the validation process. IMC simplified the incumbent model utilised by the client to decrease schedule solve times and allow for more operating scenarios to be tested quickly. We developed a technically practical plan that would ensure that the correct blend of ore from all mine sites was provided to the smelter to maximise productivity and minimise costs.

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Aurukun

bauxite aurukun

Aurukun

location

Australia

Deposit Style

Laterite

Client

Glencore

Commodity

Bauxite

Bauxite Aurukun Mine Scheduling

The Client's Challenge

Aurukun is a greenfield bauxite project. The client required detailed planning over the life of mine to support investment decisions. This involved intricately sequencing mining activities and materials handling.

Aurukun is a unique bauxite project that would involve backfilling fines from beneficiation into completed pits requiring integration of mining and tailings operations. The client also required detailed analysis of equipment selection and fleet sizing desktop studies. The work would be summarised in a detailed activity-based cost model.

IMC's Solution

IMC guided the project through the scoping and pre-feasibility stages from the technical perspective. IMC successfully demonstrated the technical and financial viability of the project. This was based on a holistic plan of mining and tailing deposition activities. IMC’s solution ensured that a blended final product that would meet customers’ requirements, while also maintaining mining practicality.

IMC Mining were able to achieve this outcome through our ability to fully leverage state-of-the-art mathematical programming techniques which we apply to mining problems. IMC also used the in-house purpose-built cost modelling tool to validate and further refine the strategic plan. This also supported the selection of the correct equipment for the mining conditions on site.

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bauxite aurukun
Aurukun Satellite View

Pilbara Iron Ore

IMC Mining Mine to Mill optimisation - python programming for mine solutions

Pilbara Iron Ore

location

Australia

Deposit Style

Banded Iron Formation & Channel Iron Deposits

Client

Rio Tinto

Commodity

Iron Ore

IMC Mining Mine to Mill optimisation - python programming for mine solutions

The Client's Challenge

Rio Tinto Iron Ore currently utilises a linear programming-based scheduling model to plan and integrate their iron ore operations in Western Australia.  Three primary challenges faced by the client were data preparation for scheduling, equipment modelling within the linear programming framework and visualisation of the resultant schedules.

The existing process utilised various scripts, pivot tables and complex Excel spreadsheet to prepare the scheduling inventories. This was a time-consuming process with many interfaces which could lead to data errors.

The existing models utilised by the client are complicated by many downstream decisions that are modelled to account for each possible haulage path at each mine site. Due to the size of the data set, the client required a method to clearly visualise the output of the schedule from the linear program model.

IMC's Solution

IMC Mining developed a streamlined data conversion process using the Python programming language to quickly translate a block model into the format required for scheduling and apply all relevant modifying factors. This significantly increased the reproducibility and transparency in the planning process and decreased data preparation time.

IMC utilised an inhouse developed methodology for modelling trucking hours along a system of roads within a linear programming framework that lead to significantly faster schedule solve times for the client’s model.

IMC also developed its own inhouse schedule visualisation solution based on Kitware Paraview that was tailored to the needs of the client. This was specifically able to simultaneously visualise the development of multiple operations in a region over time.

Pilbara Iron Ore Rio Tinto paraview strategic scheduling
Paraview Visualiser

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Mogalakwena

Mogalakwena Anglo American Platinum

Mogalakwena Mine

location

South Africa

Deposit Style

Platreef

Client

Anglo American

Commodity

Platinum group elements, gold, copper, nickel

mogalakwena pre-feasibility study strategic scheduling anglo american

The Client's Challenge

The Mogalakwena mine is a large open pit mine located in South Africa that produces a variety of products, including platinum group elements, gold, copper and nickel. Anglo American required a pre-feasibility study to evaluate the expansion of current concentrating capacities on site.

This involved the development of a complex integrated model that could reflect the numerous processing paths onsite, number of off-site downstream smelting and refining constraints and revenue streams from the various payable elements.

IMC's Solution

IMC Mining, in conjunction with the client, developed a holistic model that tracked the flow of material through the entire process from pit to port and could make dynamic decisions to drive value. The model was developed using linear and nonlinear programming optimisation software that was multi-mine and multi-destination and considered all revenue streams and cost centres.

Over a thousand individual modelling scenarios run to ensure all possible permutations were analysed. IMC was able to demonstrate to the client the most value-adding options for increasing concentration capacity on-site, while balancing the mines output with other sites owned by the client in the same region.

Recommendations of focus areas were provided for key downstream smelting and refining processes could become bottlenecking in the future to improve overall business value.

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Gahcho Kue

Gahcho Kué Mine

location

Canada

Deposit Style

Kimberlite pipe

Client

De Beers Canada & Mountain Province Diamonds

Commodity

Diamonds

gahcho kue diamond mine open pit optimisation

The Client's Challenge

Gahcho Kue open pit diamond mine is located in Canada’s Northwest Territories.

Soon after the operation began, the mine encountered adverse geotechnical conditions which led to the revision of the life of mine plan. This had to be completed over the course of a few months to inform the shareholders of any impacts to the mine life and equipment requirements.  As the mine is located at the end of an ice road, planning ahead for mine equipment and fuel requirements is critical.

IMC's Solution

IMC was able to work with the client to incorporate the new geotechnical criteria in their pit optimisation and design process. This involved minimising the need for additional waste stripping.

Using advanced strategic scheduling and mathematical modelling, IMC Mining was able to provide the client with a revised life of mine plan, carat profile, waste dumping sequence as well as equipment requirements. The strategic mine plan was validated using tactical planning tools to ensure that the highest value development sequence was practical and executable.

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El Soldado

El Soldado: Copper Mine

location

Chile

Deposit Style

Manto-type copper deposit

Client

Anglo American

Commodity

Copper

El Soldado copper mine anglo american block model strategic scheduling

The Client's Challenge

Anglo American required IMC to quantify the operational and financial implications of deploying a technological modernisation and automation solution at the El Soldado Copper Mine.

The client needed to justify the business case for implementing new technologies on site. IMC were then required to re-optimise the strategic plan while considering incorporation of the new technology.

IMC's Solution

The total strategic planning methodology was reconsidered to fully realise the potential value of alternative technologies.

Initially, IMC completed a comprehensive optimisation process. This consisted of pit optimisation, detailed mine design options and NPV optimised strategic scheduling. This was followed by a tactical plan validation and subsequent bottom up cost modelling by the business evaluation team.

In summary, IMC Mining was able to demonstrate which technologies would achieve the most impact on site in terms of practical application and value benefit to the project

Reblocking Block Model

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Block model reblocking to improve resolution at ore/waste boundaries.

Debswana

Big Data truck mining optimisation CAD discounted value analysis

Debswana: Jwaneng, Orapa, Letlhakane, Damtshaa Mine and associated undeveloped resources

location

Botswana

Deposit Style

Kimberlite pipe

Client

Debswana

Commodity

Diamonds

debswana jwaneng orapa diamond mine strategic scheduling

The Client's Challenge

Assist the client in refreshing their resource development plan (RDP). The RDP is an integrated plan to realise the true value of all currently operating assets and to advance known resources through the development pipeline. IMC was asked to provide a modelling tool that can be used to assess the strategic direction of the portfolio. This modelling tool combined with the RDP is intended to provide guidance along the whole value chain, including:

  • exploration teams for the prioritisation of targets
  • tactical mine planning
  • testing plant capacities and expansion options
  • testing impacts of marketing constraints on the mine development sequence
  • assessing business wide implications of challenges and constraints within particular assets

IMC's Solution

IMC’s main solution is centred around an optimisation tool that combines all the assets in the portfolio in one platform. This considers a wide range of resources currently owned by the client, including: open pit, underground, alluvial and mineralised tailings. The optimisation model built by IMC Mining simultaneously considered the mining, haulage, stockpiling, blending, processing, and downstream market constraints in order to identify the highest NPV development plan.

The model integrated all current operating assets and known potential resources. We were able to utilise the optimisation model to quickly and accurately assess many different development options and quantify their value for technical committee and board presentations.

At the end of the project IMC also provided training to the client such that they could adopt and modify the model to suit the project in the future. Find out more about our training here.

Location of Debswana Mines

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Cape Flattery Silica Sands Project

Cape Flattery Silica Sands Project

location

Queensland, Australia

Deposit Style

Silica sand deposit

Client

Cape Flattery Silica Mines

Commodity

Silica

Cape flattery silica sands lidar

The Client's Challenge

Cape Flattery Silica Mines (CFSM) requested that IMC Mining undertake an independent volumetric estimate of available saleable quality sand stocks on the mining lease. Large portions of the mining lease had no geological information. There was also limited drilling information to define horizons and working sections within the deposit. The existing estimate had a large spread of silica sand resource volumes.

IMC's Solution

IMC employed a three step process to estimate the volume of saleable sand stocks across CFSM mining lease. Firstly, using lidar data, IMC developed a complete 3D digital terrain wireframe of the entire deposit to model the potential sand resources. Secondly a site visit was organised to validate the lidar data and measure significant geological contact zones. Finally, IMC provided practical recommendations to the client on how the estimated sand endowment could be converted to a JORC compliant resource statement.

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Name of Mine

location

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Deposit Style

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Client

x

Commodity

x

The Client's Challenge

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IMC's Solution

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What IMC did that was special

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Ambatovy Mine

Ambatovy Mine

location

Madagascar

Deposit Style

Laterite

Client

Ambatovy Joint-Venture

Commodity

Nickel, Cobalt

Ambvatoby

The Client's Challenge

Ambatovy mine is one of the largest nickel laterite mines in the world, producing approximately 60,000 tonnes of nickel and 5,600 tonnes of cobalt per annum. The mining operation is required to provide beneficiated ore to the HPAL plant within a tight chemical specification to minimise processing costs and maximise metal production. Consequently, the mine planning team on site have to manage a set of complex blending strategies, combined with limited stockpiling capacity and many possible mining areas. The client approached IMC Mining to assist with developing an integrated plan from the pit to port which would maximise the plant productivity and ensure a consistent ore feed from the mining operation.

IMC's Solution

An initial site visit by engineers from IMC Mining identified many possible opportunities for improvements in grade control and tracking of grade data through the material flow system that would increase the planning accuracy at the mine. After working closely with the client to implement these recommendations, IMC Mining utilised industry best-practice linear programming optimisation techniques to plan and integrate mining activities on-site with the requirements and operation of the smelter over the medium and long-term planning horizons. The work completed by IMC Mining fostered a holistic approach between the mine and downstream smelting operations, and aided in reducing silos between inter-related planning departments.

Mine planning, blending, optimisation, mining

IMC Mining uses state-of-the-art Mine Scheduling

Using our industry best practice techniques allows IMC to schedule complex deposits with  range of complex constraints also taking into account the political realities of mining. Contact us to find out more about how we can help schedule your asset.