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

Spirit River Machine Learning Study

This machine learning study incorporates GLJ’s consistent petrophysical evaluation of the entire Spirit River play. Coupled with production and completion information, this geoscience data equips Verdazo’s machine learning team & technology to deliver a predictive model, robust interpretive visualizations, and tools that can help explain, feature by feature, the drivers of production performance for each well. This presentation provides an overview of this study and was presented at the SPE Subsurface Analytics Workshop on February 27th, 2019. If you would like to learn more about purchasing the detailed Spirit River machine learning study and predictive model click here.

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February 20, 2019 by

Brian Emmerson speaking on SPE panel on subsurface analytics

Verdazo Analytics Director of Data Science Brian Emmerson is a featured speaker at a panel on subsurface analytics at the upcoming Society for Petroleum Engineers (SPE) Subsurface Data Analytics workshop on February 27, 2019 at The Bow in Calgary. The panel, titled “An In-Depth Discussion on Subsurface Analytics,” also features Louis Fabbi of Fabi Analytics, David Fulford of Apache Corporation and Christopher Petr of CNOOC International. Verdazo Analytics President Bertrand Groulx will co-moderate the panel. The panel will explore the successes, challenges and opportunities the future of subsurface data analytics holds, including existing datasets that are underutilized in the industry and how to overcome obstacles to leverage them using new and evolving technologies. The panel takes place from 4:00-5:00 p.m. on February 26-27 at The Bow in Calgary. To register for the workshop or for more information, click here.

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February 20, 2019 by

Bertrand Groulx presenting machine learning case study at SPE workshop

Verdazo Analytics President Bertrand Groulx will present a machine learning case study at the Society for Petroleum Engineers (SPE) Subsurface Data Analytics workshop on February 27, 2019 at The Bow in Calgary. The case study utilizes GLJ Petroleum Consultants’ Spirit River regional geologic study and incorporates both geoscience and engineering data to characterize which geological, reservoir and completion data contribute most significantly to well production performance. John Hirschmiller of GLJ will join Groulx for the presentation. As part of the presentation, Groulx will outline how machine learning models provide objective, analytical means to interpret large, complex datasets. The presentation will provide interested parties with practical applications of machine learning, particularly for assessing the commercial viability of resource development, optimizing completion designs and informing reserves evaluations. Groulx’s presentation takes place from 8:00-9:30 a.m on February 27th. The SPE workshop takes place February 26-27 at The Bow in Calgary. To register or for more information, click here.

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