Visual analytics software for your entire company

We know Oil & Gas companies are dealing with fewer resources and greater financial pressures. Verdazo BI 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 BI 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 BI 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 BI – 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 BI 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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Explore our industry-leading analytics content

September 10, 2019 by

GLJ Acquires Verdazo’s Machine Learning Technology & Consulting Practice

GLJ Petroleum Consultants has acquired the machine learning technology, software and consulting practice from Verdazo Analytics. Verdazo will continue to focus on its Business Intelligence software and services, and support clients by serving up machine-learning-ready data. In a recent partnership with GLJ on the Spirit River Machine Learning Study, it became increasingly evident that the need for consistent regional geoscience analysis was a challenge for most producers, particularly given staff reductions in a challenging commodity market. GLJ is well equipped to support companies who need a depth and breadth of geotechnical expertise to integrate into their reserves, development and completion optimization efforts. “The biggest opportunity in the industry to leverage machine learning is also its greatest obstacle… you need consistent regional geological interpretations to take advantage of machine learning’s ability to build understanding and inform completion optimization opportunities.” said Bertrand Groulx, President of Verdazo Analytics. “The breadth and depth of GLJ’s engineering and geotechnical expertise can really help companies accelerate new insights and capital efficiencies.” “Acquiring the machine learning software and methodologies from Verdazo gives GLJ a head start in incorporating machine learning technology into our reserves workflow, fully considering the impact that geology, reservoir and completions collectively have on...

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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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