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

May 13, 2019 by

Verdazo Analytics at geoconvention 2019, Calgary

There are three ways to see Verdazo’s team in action at geoconvention 2019 in Calgary. Marcelo Guarido will be presenting Machine Learning Strategies to Perform Facies Classification Tuesday May 14th at 9:00 am in the Glenn Room 206. Verdazo Analytics’ Director of Data Science Brian Emmerson will co-present The Importance of Geoscience in using Machine Learning to Predict and Optimize Well Performance – Case Study from the Spirit River Formation Wednesday May 15th at 10:35 in the Telus Room 104-105. You can also catch members of the Verdazo team at Booth 503 to learn more about our visual analytics and machine learning capabilities.

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May 12, 2019 by

Augmenting Well Production Analysis with Subsurface Data

The Montney Formation, located in the Western Canadian Sedimentary Basin, is developed in a multi-zone stack throughout the fairway.  Unfortunately, these refined target zones are not captured in public data.  For analysis, it is important to differentiate Montney Wells into multiple target zones because they vary significantly in reservoir properties both vertically and laterally. Identifying the target zone based on sequence stratigraphy is a valuable process but can be time-consuming. In this blog we show a quick method to differentiate target zones using a depth-based approach that is helpful when you have limited time and resources.  This workflow can be applied to any map-based data to derive a data set suitable for well production analysis. For contour-based geologic data to be useful for well production analysis, we need a map-derived value for each individual well.  To accomplish this, we started with a publicly available Geologic map of the Montney Top in Meters Subsea (BC OGC, 2012). Figure 1: Digitized and interpolated Montney Top Subsea TVD (True Vertical Depth) Structure Map, (OGC, 2012). The Montney Top Structure map contours were digitized (Figure 1), so that interpolated well-values could be derived.  Using point-sampling, the Montney Top Depth was extracted at the intersection...

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April 14, 2019 by

Anton Biryukov of Verdazo Analytics places third in global machine learning competition

Verdazo Analytics Data Scientist Anton Biryukov took home third prize in a machine learning competition in March of this year. “Turn up the Zinc” was a crowdsourcing challenge to augment Glencore‘s efforts to predict zinc recovery at their McArthur River mine in Australia. The participants used the Unearthed platform and consisted of 229 global innovators from 17 countries forming 61 teams and submitting 1286 model variations over one month. “The Unearthed platform provides a great opportunity to polish my data science skills, while solving applied problems in the oil and gas and mining industries,” said Anton, who worked on the problem during his spare time. While most contest submissions were team collaborations, Anton chose to tackle the problem with the help of just one junior data resource. “For my team, third prize in this competition means motivation to try harder in the next challenge, plus new doggy treats for Junior Data Analyst Lumi.” Lumi and Anton discuss strategy For more information on “Turn up the Zinc,” click here.

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