Unparalleled capabilities that enhance data governance

Verdazo BI 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 BI 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 BI 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 BI 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 BI 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

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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