Tag: Leapfrog Central

Using curiosity as a business tool

By Claire Mahoney

From the time we can speak, we start asking questions: Why is the sky blue? How big is the ocean? Why do the leaves change colour? Being curious is encouraged and rewarded because it leads to a deeper understanding of the world, which helps us operate and survive better as humans.

Curiosity is part of our company culture and we use it for a lot of different reasons: to build better software, understand user needs and help solve complex industry challenges. Even as we grow as a company, we’re still asking the same questions: What does it look like underground? Can we harness the power of a volcano?

By being curious we’ve created multiple opportunities, solved a host of problems and had some enlightening conversations. Here’s how we apply curiosity in our business.

Curiosity for problem-solving

When we heard back in 2014 that some of our customers were having problems managing their model versions, which was hampering their decision-making and costing money at the operations stage, we saw an opportunity to help out and get curious.

We asked some key questions: How are you managing projects now? How are models shared currently? What other decisions depend on the data? What other problems is this causing?

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Leapfrog Central: What does it mean for your organisation?

By Peter Joynt

In 2003, ARANZ Geo released the first version of Leapfrog. Leapfrog’s implicit modelling engine brought about a paradigm shift in the way geologists generate 3D interpretations. Organisations that have embraced this new technology have realised significant benefits by building dynamic implicit models in less time.

Now, in 2016, we are releasing Leapfrog Central, a model management system that will bring about another paradigm shift, to continuous modelling.

What is continuous modelling? Continuous modelling supports incremental changes to models as data becomes available, and because the development of the model is visible to the wider organisation, decisions can be made based on the latest data and the most current understanding.

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