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

Senior Management

  • Targets efficiencies
  • Optimizes corporate performance
  • Adds millions to your bottom line
  • Creates alignment between people, processes, and data
  • Delivers value from day one
  • Catalyzes innovation across your organization
  • Purpose-built for Oil & Gas
  • Creates a culture of analytics

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
  • Purpose-built for Oil & Gas
  • Not a build-it-yourself toolkit

Analytics for the entire well lifecycle




Production & Operations


Optimize your development strategies and corporate value

  • Use public data to understand evolution of plays and technology.
  • Perform competitor analyses and leverage best practices for type curves, completion design and statistical methods.
  • Scrutinize data quickly, easily and visually.


Get an integrated view on how drilling impacts all aspects of a well’s lifecycle

  • Use rig-state KPI’s to compare current and historical drilling activities to identify optimization opportunities.
  • Leverage drilling data to inform completion design.
  • Integrate multiple data sources to get a holistic view of drilling impacts on value.


Optimize your completion design with multivariate analysis

  • Compare different operators’ completion techniques to refine your approach.
  • Better understand the impacts of technology & design on production.
  • Leverage our Machine Learning expertise to better understand & optimize completion designs.

Production & Operations

Optimize your production and operational performance

  • Minimize your downtime and reduce its impacts.
  • Improve your ability to hit production targets.
  • Perform more effective well reviews with integrated financial performance analysis.
  • Enhance collaboration between the field and head office.

Only VERDAZO offers Discovery Analytics

Our Discovery Analytics methodology is the most powerful approach to Oil & Gas analytics in the industry. Discovery Analytics enables a sequence of explorations, each predicated on the insights of the last. Other tools are limited by the technical and domain expertise of their creators. VERDAZO enables you to steer your analysis in whatever direction your insights take you.

Machine Learning

Advanced analytics solutions for Oil & Gas

What’s your plan to take advantage of artificial intelligence? Don’t have one? That’s a problem. We can help accelerate your use of Machine Learning to leverage the integrated datasets used across all asset life-stages. This is a new frontier in Oil & Gas analytics and we’re here to help you achieve a major competitive advantage.

Key Applications

  • Identify and quantify which inputs matter most for specific outcomes
  • Determine dependencies between model inputs
  • Develop predictive models with complex data
  • Optimize completion designs

Read industry-leading Oil & Gas analytics content

March 2, 2018 by

Machine Learning: Finding the signal or fitting the noise?

Before machine learning came along, a typical approach to building a predictive model was to develop a model that best fit the data. But will a model that best fits your data provide a good prediction? Not necessarily. Fortunately, there are machine learning practices that can help us estimate and optimize the predictive performance of models. But before we delve into that, let’s illustrate the potential problem of “overfitting” your data. Fitting the Trend vs. Overfitting the Data For a given dataset, we could fit a simple model to the data (e.g., linear regression) and likely have a decent chance of representing the overall trend. We could alternatively apply a very complex model to the data (e.g. a high-degree polynomial) and likely “overfit” the data – rather than representing the trend, we’ll fit the noise. If we apply the polynomial model to new data, we can expect it to make poor predictions given it’s not really modeling the general trend. The example above illustrates the difference between modelling the trend (the red straight line) and overfitting the data (the blue line). The red line has a better chance of predicting values outside of the dataset presented. Due to the powerful...

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February 20, 2018 by

Bertrand Groulx speaking on Smith Business Club data analytics panel

Verdazo Analytics President Bertrand Groulx is a featured panelist for Calgary chapter of the Smith Business Club of Queen’s University. The panel, titled “Leveraging Data Analytics in Your Business,” takes place Wednesday March 14, 2018 from 5:30-8:30 in the Petroleum Club in Calgary. The panelists will cover why employing analytics is a critical enabler of business and some of the common pitfalls to avoid when integrating and deploying them across an organization. Additional panelists at the event include Kaush Rakhit (President – Canadian Discovery Ltd., Upstream Oil and Gas Analytics, Data and Expertise), Pavel Rahman (Lead – IBM’s AI & Advanced Analytics Consulting Practice in Canada), and Simon Rivard (Manager – Ember Resources; Specialties: Oil and Gas Data Management). Register for the event and learn more here.

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January 24, 2018 by

Verdazo Analytics appoints Ryan Bielefeld to lead U.S. expansion

Verdazo Analytics today announced the appointment of Ryan Bielefeld as U.S. Sales Manager as part of its expansion into the U.S. market. Bielefeld will lead the company’s business development efforts and be based out of Houston, Texas. Previous to joining Verdazo Analytics, Ryan spent nearly five years in Account Management at Pason Systems, Inc., which acquired Verdazo Analytics last year. At Pason, Ryan split his time between Calgary and Houston. He focused on offering his clients integrated data solutions that enabled users to collect, manage, report and analyze real-time drilling data. He’ll continue that work in his new role, helping to further integrate Pason’s wealth of drilling data into VERDAZO software and the company’s newly launched Machine Learning Division. “We have the Oil & Gas industry’s best visual analytics software and we’re excited for Ryan to start sharing it with our new partners in the United States,” says Bertrand Groulx, President of Verdazo Analytics. Ryan brings deep industry experience and expertise, with over 20 years in upstream Oil & Gas, including multiple roles at Schlumberger, and Weatherford Drilling Services. “Our U.S. clients should expect the same thing our Canadian clients do: industry-leading service and best-in-class software that enables them to...

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