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Imago, now part of Seequent, is a cloud-based platform to easily access, collaborate and validate using your high-quality geoscientific images. Imago already integrates with Seequent’s ecosystem and connects seamlessly with Leapfrog, Oasis montaj, Target and MX Deposit. This expansion to Seequent’s portfolio will make accessibility and management of images much easier for customers across even more stages of the mining workflow.

In this blog we’ll walk you through some key features and workflows using Imago’s integration with Leapfrog.

Imago is made up of four capabilities Capture, Catalogue, Connect and Learn that combine to form a complete solution. The solution supports enterprise requirements and provides role based access permissions, (subscription, owner, contributor, and viewer).

The best way to get a feel for Imago is to try out the software through the free, no obligation demo on the website. It’s easy to do, here’s a 2-minute guide to signing into the Imago demo account and exploring the Imago web viewing tools.

When you’re ready you can click this link to start the demo Click to start >>

Após o login, você verá Observe o painel de navegação à esquerda. Em Firefly Resource Development (Desenvolvimento do recurso Firefly), clique em Core Boxes (Caixas de testemunhos de sondagem) no tipo de imagem Drilling Core (Testemunhos de sondagem). Será exibida uma lista de furos de sondagem com imagens disponíveis em Core Boxes (Caixas de testemunhos de sondagem).

Marque a caixa de seleção para AADD0141 e para AADD0142. As imagens contidas nessa caixa de testemunhos de sondagem serão exibidas.

Muitas vezes, as Core Trays (Bandejas de testemunhos de sondagem) representam intervalos diferentes, como 1 a 5 metros versus 1 a 7 metros. Para visualizar as imagens em escala, ao longo do traço do furo de sondagem, essas imagens precisam ser redimensionadas na tela. Clique no botão Adjust Imagery size by depth (Ajustar tamanho das imagens por profundidade) no canto inferior direito da tela, como mostrado. Você verá o redimensionamento das imagens. Use Pan (Movimento panorâmico) e Zoom para ajustar a exibição. Você pode clicar na régua de profundidade vertical para ajustar até obter a profundidade desejada.

Em seguida, é possível visualizar as imagens como imagens lineares ao longo do furo de sondagem em vez das bandejas de testemunhos de sondagem. Desmarque as caixas de seleção relacionadas ao tipo de imagem das bandejas testemunhos de sondagem e marque as caixas de seleção Downhole (Ao longo do furo de sondagem). Geralmente, é melhor visualizar as imagens saturadas.

Retorne para a visualização das bandejas de testemunhos de sondagem e, em seguida, mude para a visualização da biblioteca usando os botões no canto superior direito.

Click the Analytics button on the main menu bar to view a time chart of collections (Drillholes) added to the workspace. Click on a grid row to open the collection. This provides a quick way to view recently drilled holes and check image quality.

Setting up the Imago Interface in Leapfrog Geo

Imago is the only solution that is fully agnostic, (Hardware, data client and ML platform), allowing you to connect seamlessly with your geological tools, gain instant access to images and provide rich information to support your interpretation and modelling.

A native link to Imago is available from Leapfrog Geo 5.0 onwards so you can easily access your Imago images. Before you can start viewing core photos you need to first set up the link between Leapfrog Geo and the Imago Portal. It works best if you set your default browser to Chrome.

In Leapfrog right-click on the Drillholes object and select Add Core Photo Link. In the window that appears, select Imago and click OK. The Imago Settings window will appear. Select whether each core photo will be opened in a separate browser Window or Tab. All other parameters are optional, best to leave them undefined or ‘none’.

Click OK to save the information. The Imago Link button  will appear in the toolbar:

Um link também será exibido na árvore do projeto como parte do objeto Drillholes (Furos de sondagem):

You can edit the link by double-clicking on it.

Using the Imago Interface
To view core photos, click on a drillhole in the scene, then click on the Imago Link button in the window that appears:

Your browser will be launched and you will be prompted to log in to the Imago Portal. Remember to allow the browser to save the login details so that you will not be prompted to log in each time you wish to view a photo.

The Imago Link button  in the toolbar allows you to view core photos in your browser in rapid succession. To do this, first make sure you are already logged into the database. Then click on the Imago Link button  to enable the rapid viewing mode. Each time you click on an interval in the scene, the core photo link will open in your browser.

The Imago Portal is fast and displays core and chip images as drillholes. Click the drillhole trace in Leapfrog and display the corresponding core photos in Imago as a drillhole at the correct depth. You can continuously validate logs and assays using the original images.

Creating a 3D Drillhole Georeferenced Textured Mesh File

For more complex geology you can export 3D meshes and open inside Leapfrog, critical when making high value drilling and mining decisions. You create a 3D textured mesh in industry standard .obj format which locates Imago images in 3D space.

The Imago Connect + Tools application has an intuitive interface consisting of a left panel containing available tasks and a right panel where options are selected or values entered:

Usando o comando de importação de mesh do seu software de dados geológicos/mineração, você pode importar o arquivo .obj gerado e visualizar as bandejas de testemunhos de sondagem ao lado de furos de sondagem ou obter uma visualização ao longo do furo de sondagem.

Operationalising machine learning

When you consider that 100,000 metres of drilling can create 30,000 images all over 100s of MB each, it’s not difficult to see the management problem but also recognise the opportunity. And through consistent capture of these high-quality images to the Image Portal you can capitalise on this data asset through Machine Learning (ML). Imago gives you the power to operationalise ML, so that you can integrate it with existing workflows and identify problems for ML to solve. ML insights are instantly displayed together with images during interpretation and modelling for even better decision making.

In our next blog Getting Ready for Machine Learning we’ll look at how you could get your images ready for machine learning and what types of problems it could help you address. In the meantime, you can find out more about Imago here.