Refining The Big Picture of Your Geoscientific Data

    June 28, 2018
    Posted in News
    June 28, 2018 Jim Young

    I recently saw a post on LinkedIn (apologies to the author but I can no longer find the reference to link it) with the observation that as geologists we sometimes miss the big picture of how geologic systems work. The author used an art installation in Fremantle, WA, Australia to highlight that as with this particular installation, individual components of a larger system do not mean much when viewed from the wrong perspective (image above).

    Looking at things in the right perspective

    However, with the right perspective, the insight of what it is becomes obvious (image below).

    Missing the big picture

    He drew a parallel to how sometimes we miss the big picture of geologic systems because we miss the scale of the system and are focused on looking at very specific components within the system. That is, we fail to put the parts compiled as individual observations and measurements together to see the big picture.

    As an industry we have built a lot of tools over the years to analyze our data sets and try to see this big picture. Geologic modeling tools evolved from 2D to 3D to aid us in interpreting more clearly what lies beneath. Geostatistical packages can now digest numerical data sets to uncover trends that are not visible to the naked eye. Now breakthroughs in “Big Data” and “Machine Learning” are promising to help us see new perspectives that will give us further clarity on what we are observing.

    At Imago – www.imago.live we are continually thinking about new ways to extract knowledge from Geoscientific images. As our active community continues to recognize the current and potential value of these images, new and exciting possibilities are identified to reIMAGine geoscience. Every day new ideas are submitted to us from our users on how we can use imagery in new ways.

    Why aren’t equivalent geostatistical tools like the ones for geochemical investigations available to work on core image data sets?

    Why can I not filter and search for related core or chip images in the same way that I can search for grade anomalies?

    Transforming images into sound??

    Yesterday I received an idea from Bevan Ward that drove me to write this article. What if we could transform the images of core into sound where perhaps Texture = percussion and Color = melody and created a multi sensory core experience? There are some examples of these types of transformations from the art world that are thought provoking. To demonstrate the concept Bevan took a transcript from Rome and Juliet and transformed it into an image:

    We have to play around with the idea of taking downhole linear core images of a drillhole and shrink them in the long axis to be able to quickly see changes. Different contacts show up very clearly as bands.

    Any ideas of how we can use geoscientific images to see the bigger picture?

    Contact us with your ideas!

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