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 BI 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 BI, you’re already behind.

Purpose-built for Oil & Gas

Other data analytics software tries to work for everyone under the sun. Verdazo BI 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 BI 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 BI. We’ve done it for you. Verdazo BI 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 BI 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. Learn more

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 industry-leading analytics content

Machine Learning: Usability, Stability & Interpretability

Machine learning in the Oil & Gas industry has met with varied success and no shortage of hype.  Barriers to success in the industry include data challenges, inflated expectations, and a lack of trust from those who stand to benefit from its results.  In this presentation, we will be showing the bulk of our Spirit River Study from the SPE Subsurface Workshop, plus a whole lot more.  We will explore trust-building approaches that include feature selection, interpretive visualizations, stability considerations, “What’s a good R2?”, and a Man vs Machine simulation.  In the simulation, we compare traditional type-curve generation approaches with those based on machine learning models, using data from the Marcellus.

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June 17, 2019 by

Bertrand Groulx presenting on machine learning at Calgary Petroleum Club

Verdazo Analytics President Bertrand Groulx will deliver a presentation on machine learning for the Society of Petroleum Engineers (SPE) on June 25 at the Calgary Petroleum Club. The presentation is titled “Machine Learning: Usability, Stability & Interpretability.” Groulx is co-presenting with John Hirschmiller from GLJ Petroleum Consultants. During a fast-paced and engaging presentation, Groulx and Hirschmiller will show the bulk of their Spirit River Study from the SPE Subsurface Workshop. They’ll also explore trust-building approaches that include feature selection, interpretive visualizations, stability considerations, “What’s a good R2?”, and a Man vs. Machine simulation. The presentation takes place from 11:30 a.m.-1:00 p.m. To learn more about the presentation or to register, click here.

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May 31, 2019 by

Brian Emmerson delivering talk on machine learning for Darcy Partners in Houston

Verdazo Analytics’ Director of Data Science Brian Emmerson will deliver a talk on interpretable machine learning techniques in Houston, Texas on June 5th. The one-day forum is presented by Darcy Partners and is focused on analytics and the internet-of-things. Brian’s talk will focus on the ability of robust visualization techniques to investigate machine learning model predictions, with examples from North American unconventional resource plays. To learn more about the conference or to register, click here.

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