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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.