Predict production performance, reservoir properties and optimize well location & completion design.
We know Oil & Gas companies are dealing with fewer resources and greater financial pressures. VERDAZO was purpose-built to deal with these conditions. Watch our video to learn why it’s the best visual analytics software for Oil & Gas.
Major value for your frontline users, your IT department and senior management.
By now, the stories are almost endless. Our clients have used VERDAZO to attract initial investors, to grow revenue without adding staff and to free up over 25% of their engineers’ time. They’ve found hundreds of thousands of dollars in unpaid revenue and made hundreds of millions in improvements in optimized completion designs. Learn more.
VERDAZO creates alignment around people and processes, enhances communication across functional groups and improves your overall analysis capabilities. Ultimately, it ensures your people and your assets always deliver the maximum possible value.
Your organization will see immediate impact with VERDAZO – unlike with Tableau or Spotfire which require additional investments of time and money just to get started. Plus, our ongoing commitment to crowdsourced innovation means we’ll keep evolving to meet your future needs.
Users can do immediate analysis with VERDAZO by leveraging its targeted Oil & Gas analytics capabilities, crowdsourced workflows and pre-built templates. It’s so easy to use that they’ll often see value in the very first hour. No other data visualization software can make that claim.
To thrive in the future, an Oil & Gas company must make smarter, faster, and better decisions – with fewer people. That requires building a culture of analytics, where all users can access the consistent reliable information they need to innovate. Our software delivers all that.
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.