Unparalleled capabilities that enhance data governance

VERDAZO is software that can scale with your organization’s growth and offer consistent reliable information delivery. Watch our video to learn why it’s the best visual analytics software for Oil & Gas.

Enterprise-scale capabilities and sustainability

VERDAZO has more power and flexibility than any other Oil & Gas analytics software.

Consistent reliable data delivery

Stop relying on spreadsheets that break and burn up your users’ time. Create a single source of data truth across the organization that enables better communication and alignment, and reduces data maintenance costs.

Pre-built capabilities in a configurable environment

On top of a library of pre-built Analytics Accelerators, workflows and data visualization templates, VERDAZO offers an open, configurable development environment.  You can either scale it yourself or leverage our team’s skills and experience.

Cost-effective scaling for organizations of all sizes

Our software scales effectively and efficiently whether your organization has 10 people or 10,000. We also offer data integration services and a flexible licensing structure that lends itself to your evolving business needs over time.

Rapid implementation saves time and money

Our team will get yours up and running fast. We accelerate implementation by using our library of Analytics Accelerators, which are pre-built configurations for dozens of core Oil & Gas systems and workflows — all in an open, configurable, administrative environment. Over the years we’ve performed hundreds of implementations with thousands of users. We do it better than anyone else.

The enterprise-class analytics engine

VERDAZO delivers critical value all across an organization, catalyzing innovation while enabling scalability, repeatability, security and centralized, consistent business logic.

Capabilities at a glance

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

Learn how VERDAZO works for your IT Department

Whether it’s data integration and configuration, or broader Oil & Gas consulting, we’re the best in the business.

Let’s talk

Industry-leading 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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