Visual analytics software for your entire company

We know Oil & Gas companies are dealing with fewer resources and greater financial pressures. VERDAZO was purpose-built to deal with these conditions. Watch our video to learn why it’s the best visual analytics software for Oil & Gas.

Enterprise-class software for Oil & Gas

Major value for your frontline users, your IT department and senior management.

Delivers bottom line value

By now, the stories are almost endless. Our clients have used VERDAZO to attract initial investors, to grow revenue without adding staff and to free up over 25% of their engineers’ time. They’ve found hundreds of thousands of dollars in unpaid revenue and made hundreds of millions in improvements in optimized completion designs. Learn more.

Maximize the value of your resources

VERDAZO creates alignment around people and processes, enhances communication across functional groups and improves your overall analysis capabilities. Ultimately, it ensures your people and your assets always deliver the maximum possible value.

Impact today, evolution tomorrow

Your organization will see immediate impact with VERDAZO – unlike with Tableau or Spotfire which require additional investments of time and money just to get started. Plus, our ongoing commitment to crowdsourced innovation means we’ll keep evolving to meet your future needs.

Industry-leading time to value

Users can do immediate analysis with VERDAZO by leveraging its targeted Oil & Gas analytics capabilities, crowdsourced workflows and pre-built templates. It’s so easy to use that they’ll often see value in the very first hour. No other data visualization software can make that claim.

Build a culture of analytics

To thrive in the future, an Oil & Gas company must make smarter, faster, and better decisions – with fewer people. That requires building a culture of analytics, where all users can access the consistent reliable information they need to innovate. Our software delivers all that.

Capabilities at a glance

Engineers & Operations

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

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IT Managers

  • Delivers consistent, reliable information
  • Centralized business logic
  • Provides enterprise-level scalability
  • Offers an open, configurable environment
  • Rapid implementation saves time and money
  • Flexible licensing structure
  • Not a build-it-yourself toolkit
  • Purpose-built for Oil & Gas

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Maximize your investment in analytics

Tap into our Oil & Gas expertise with custom training and consulting services.

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Our best content on Oil & Gas analytics

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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