Geoscience, machine learning & computational modelling for exploration & mining
Who we are
Solve Geosolutions is a geoscientific data-science consultancy, servicing the mining and exploration industries since 2015. We are based in Melbourne, Perth & Hobart, operating on global projects and across all commodities.
We have a geoscience-first mindset, solving mining and exploration problems by combining the specialised application of geoscientific domain expertise, with established and cutting-edge machine-learning processes.
What we do
Exploration targeting
Best-practise applied geoscientific understanding
Data-driven, expert-constrained geological modelling and exploration targeting in greenfields and brownfields domains
We make the most of public domain geoscientific datasets – geochemical, downhole, surface or airborne magnetics, gravity & EM – to better visualise the exploration target.
We develop and deploy cutting-edge data science and machine learning algorithms to process and refine data, identify data relationships, and model mineral prospectivity from project to continental, greenfields to near-mine scales.
Orebody knowledge
Understanding lithology, lithogeochemical, geotechnical & geometallurgical variation in the near-mine environment
We employ advanced data amalgamation and geoscientific machine-learning workflows, in conjunction with your own resource experts, to increase orebody understanding.
The partnering of good quality geoscientific data, with machine learning workflows & expertise, leads to better resource models, better mine planning and better operational scheduling.
Geoscience
Best-practise applied geoscientific understanding
Our diverse team has experience and specialised expertise across multiple geoscientific disciplines, from project management through to data interpretation.
- Geological and structural 3D modelling
- Airborne, ground and downhole geophysical survey management, data QC, processing, modelling, inversion & interpretation
- Hyperspectral and multispectral QC and processing
- Mineralogy estimation modelling
Education
Public and private courses to help you grow your skillset
Understanding lithology, lithogeochemical, geotechnical & geometallurgical variation in the near-mine environment
We employ advanced data amalgamation and geoscientific machine-learning workflows, in conjunction with your own resource experts, to increase orebody understanding.
The partnering of good quality geoscientific data, with machine learning workflows & expertise, leads to better resource models, better mine planning and better operational scheduling.