Have you fallen behind on visual analytics? We’ll change that.

Amplify your team’s capabilities with help from ours.

Consulting

Data Integration

Training

Machine Learning

Consulting

Here’s the bottom line: unless you apply analytics across the entire well life cycle, you’re falling behind your competitors. Our industry-leading team is a blend of analytics professionals, engineers and other Oil & Gas technical experts. They’ll help you make a huge leap forward, no matter how much experience you have with analytics today.

Data Integration

The problem with unintegrated data is you can’t always see the inefficiencies and gaps in your organization. You could be losing and not even know it. We can assess your current data sources and structures and devise the best approach to integrate systems. We’ll help you get faster time to value now and support the evolution of your needs over the long term.

Training

Knowledge isn’t equally distributed across the Oil & Gas industry. Some companies are stuck in the past. Some are driving into the future. Make sure your team has the industry leading knowledge and analytics abilities they need to drive efficiencies. We do everything from ‘get started’ training to deeper workshops with our industry-leading partners so you can be the best at what you do.

Machine Learning

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.

World class support whenever you need it

Expert advice

Clients get access to our world-class support team and over a decade of Oil & Gas analytics knowledge.

Hours of operation

We’re open from 9 a.m. to 5 p.m. MST, Monday to Friday. Closed on statutory holidays.

Request support

Need help? Please email support@verdazo.com and we’ll be in touch promptly to help you out.

Read our 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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