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.

Explore our industry-leading analytics content

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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May 31, 2019 by

Brian Emmerson delivering talk on machine learning for Darcy Partners in Houston

Verdazo Analytics’ Director of Data Science Brian Emmerson will deliver a talk on interpretable machine learning techniques in Houston, Texas on June 5th. The one-day forum is presented by Darcy Partners and is focused on analytics and the internet-of-things. Brian’s talk will focus on the ability of robust visualization techniques to investigate machine learning model predictions, with examples from North American unconventional resource plays. To learn more about the conference or to register, click here.

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