
Test scenarios and optimise plant performance with confidence
From geopolitics to environmental concerns, cost optimisation to mineral scarcity, the mining and minerals sector is under more pressure than ever to do more with less. Yet making changes to plant processes can carry big risks and materially impact business models.
Scenario testing presents an opportunity to use the massive volumes of data generated in a plant to explore ‘what if’ scenarios. From these insights, leaders can make more informed decisions about how to optimise outcomes. Leading minerals process plants are using scenario testing to solve for big issues like ESG reporting and greenhouse gas emissions, productivity, forecasting and cost control, as well as more granular metrics like reagent quantities, altered flowsheets and other production variables.
According to the global Task Force on Climate-related Financial Disclosures (TCFD), scenario analysis is a key tool to help companies understand and quantify the risks and uncertainties of different hypothetical futures.
When it comes to climate scenarios — which can be particularly complex given timescales, scientific models, and the multi-faceted nature of consequences — choosing the right scenario testing tool proves critical. You need a tool that can test scenarios to reduce Scope 1, 2 and 3 emissions; one that can test everything from the impact of replacing fossil fuels with biomass, to using recycled instead of virgin materials.
That’s where Metallurgical Intelligence comes in. Our proven, industry-leading scenario testing solution — MI Scenario® — enables powerful analysis and testing of an endless range of variables and scenarios, helping you optimise operations and hit your ESG targets with confidence.
Scenario testing is all about answering ‘what if’ questions with absolute certainty. Questions like, what if we increase throughput? What if we add in another tank? What if we target a higher grade? What if a reactor goes offline or equipment fails? Or, if we made this change to our suppliers, could we reduce our greenhouse gas emissions?
MI Scenario® is an optional module in the award-winning MI Core® process digital twin solution from Metallurgical Systems. It uses a customised steady-state plant simulation model to predict the future for your plant by combining data from the past with known or expected upcoming changes in processing conditions. It can accurately determine potential outcomes to any modifications you propose — helping you make accurate, cost-effective and informed decisions about the way you run your plant.
By pairing our proven scenario testing solution with a process digital twin, process optimisation tool, or asset utilisation tool, you can further optimise plant performance.
increased recovery
reduction in reagent usage
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other". |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
elementor | never | This cookie is used by the website's WordPress theme. It allows the website owner to implement or change the website's content in real-time. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
nitroCachedPage | session | This cookie is needed to upgrade the speed of the website |
Cookie | Duration | Description |
---|---|---|
_ga | 2 years | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. |
_ga_9JQHVJ4501 | 2 years | This cookie is installed by Google Analytics. |
_gat_gtag_UA_41853541_1 | 1 minute | This cookie is set by Google and is used to distinguish users. |
_gid | 1 day | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
ac_enable_tracking | 1 month | This cookie is set by Active Campaign to denote that traffic is enabled for the website. |
CONSENT | 16 years 3 months 17 days 20 hours | These cookies are set via embedded youtube-videos. They register anonymous statistical data on for example how many times the video is displayed and what settings are used for playback. No sensitive data is collected unless you log in to your google account, in that case your choices are linked with your account, for example if you click “like” on a video. |
Cookie | Duration | Description |
---|---|---|
prism_225207103 | 1 month | No description |
Cookie | Duration | Description |
---|---|---|
IDE | 1 year 24 days | Google DoubleClick IDE cookies are used to store information about how the user uses the website to present them with relevant ads and according to the user profile. |
test_cookie | 15 minutes | The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies. |
VISITOR_INFO1_LIVE | 5 months 27 days | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
YSC | session | YSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages. |
yt-remote-connected-devices | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt-remote-device-id | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |