Do your fastest, most effective analyses ever

We know you’re trying to make the best, most profitable decisions, which are hidden in masses of data. Watch our video and learn why VERDAZO is the best software for Oil & Gas.

This is the data visualization software you’ve been looking for

If you’re doing Oil & Gas analysis without VERDAZO, you’re already behind.

Purpose-built for Oil & Gas

Other data analytics software tries to work for everyone under the sun. VERDAZO is built just for you. We’ve worked with hundreds of Oil & Gas industry experts and thousands of users to tailor its capabilities to your analytics challenges. You’ll experience its power from the first day you use it.

Unique Discovery Analytics

Discovery Analytics is our unique visual analysis methodology. Other tools let you explore data but only within the bounds of how they were built and limited by the technical and domain expertise of their creators. VERDAZO enables you to cut a path through the data and steer your evolving analysis in whatever direction your insights take you.

Broad pre-built capabilities

You don’t have to build anything with VERDAZO. We’ve done it for you. VERDAZO comes with our pre-built Analytics Accelerators: chart templates, workflows and custom reports, plus you can build your own analyses. Our Analytics Accelerators are embedded with Oil & Gas best practices and customizable to meet your specific business needs.

Value from day one

Some data analytics software requires you to devote extra time and energy before you can do any effective analysis, but VERDAZO is no build-it-yourself toolkit like Spotfire or Tableau. It’s a fully built software application and is ready to use from day one. In fact, many users are doing effective analysis within minutes of being set up.

Machine Learning

Artificial intelligence offers you the ability to leverage the integrated datasets used across all asset life-stages. You can identify and quantify which inputs matter most for specific outcomes, determine dependencies between model inputs and develop predictive models – and that’s just the start. Machine Learning will help you take your analysis to the next level.

Capabilities at a glance

  • No more time-consuming or broken spreadsheets
  • Speed up your analysis with vast pre-built capabilities
  • Save the time, effort and cost of building your own tool
  • Includes our Discovery Analytics methodology & workflows
  • Incorporate all your Oil & Gas data sources
  • Purpose-built for Oil & Gas
  • Do effective analysis from day one
  • Embedded with industry experience, expertise & best practices

Explore our very best Oil & Gas analytics content

Machine Learning: Practical Use in Upstream Oil & Gas

There’s an enormous amount of discussion about the possibilities of Machine Learning but far less practical information about the impacts it can have on Oil & Gas today. In this presentation, we articulate some of most valuable prizes Machine Learning offers for upstream Oil & Gas, including feature importance and sensitivity analysis, and the power of predictive Machine Learning models. The presentation outlines two recent case studies – one focused on reservoir properties and the other focused on drilling and completion optimization – that bring the material to life. This presentation was originally delivered May 31, 2018 as part of the SPE Oil & Gas Breakfast Series in Calgary.

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Machine Learning

Predict production performance, reservoir properties and optimize well location & completion design.

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May 7, 2018 by

Machine Learning: Is it really a Black Box?

Machine Learning isn’t the “black box” that many perceive it to be. On complex data sets, the use of Machine Learning with a rigorous process and supporting visualizations can yield far more transparency than other methods. What is a “Black Box”? Machine learning models are sometimes characterized as being Black Boxes due to their powerful ability to model complex relationships between inputs and outputs without being accompanied by a tidy, intuitive description of how exactly they do this. A “Black Box” is “a device, system or object which can be viewed in terms of inputs and outputs without any knowledge of its internal workings” (Source: Wikipedia). Black Boxes (and Machine Learning models) exist everywhere We tend to label things as “Black Boxes” when we don’t trust them more than when we don’t understand them. Machine Learning models aren’t unique in having an element of “mystery” in how they work – there are all sorts of things we trust all around us for which we don’t fully understand the inner workings. GPS, search engines, car engines, step counters, even the curve fitting algorithms in Excel are examples where we trust what’s happening inside because we’re able to see and, with experience,...

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