Predict production performance, reservoir properties and optimize well location & completion design.
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.
VERDAZO has more power and flexibility than any other Oil & Gas analytics software.
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.
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.
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.
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.
Machine Learning isn’t the “black box” that many perceive it to be. On complex data sets, the use of Machine Learning with a rigorous process and supporting visualizations can yield far more transparency than other methods. What is a “Black Box”? Machine learning models are sometimes characterized as being Black Boxes due to their powerful ability to model complex relationships between inputs and outputs without being accompanied by a tidy, intuitive description of how exactly they do this. A “Black Box” is “a device, system or object which can be viewed in terms of inputs and outputs without any knowledge of its internal workings” (Source: Wikipedia). Black Boxes (and Machine Learning models) exist everywhere We tend to label things as “Black Boxes” when we don’t trust them more than when we don’t understand them. Machine Learning models aren’t unique in having an element of “mystery” in how they work – there are all sorts of things we trust all around us for which we don’t fully understand the inner workings. GPS, search engines, car engines, step counters, even the curve fitting algorithms in Excel are examples where we trust what’s happening inside because we’re able to see and, with experience,...
Verdazo Analytics President Bertrand Groulx is teaching a course on statistics and analytics titled “Uncertainty Characterization, Statistical & Aggregation Principles and Advanced Analytic Methods” for the Society of Petroleum Evaluation Engineers (SPEE) in Carlsbad, California. The presentation is part of the 55th annual SPEE conference which takes place at the Park Hyatt Aviara on June 2-5, 2018. Groulx will share the podium with co-presenter Jim Gouveia of Rose & Associates. Their course will provide a solid background for professionals in the application of Statistics, Uncertainty and Aggregation Principles to their evaluations. At the end of this course, participants should have an intermediate understanding of estimating under uncertainty, basic statistics & aggregation principles, advanced analytic methods and selected best practices in production type well curve development. Groulx and Gouveia’s course takes place on Saturday, June 2 and runs the full day from 8 a.m. to 5 p.m. Learn more about the conference agenda and register here.