Predict production performance, reservoir properties and optimize well location & completion design.
Target efficiencies. Optimize performance.
Add millions to the bottom line.
Our team has worked with hundreds of industry experts and thousands of users to create the
most cost effective, user-friendly data visualization software for upstream Oil & Gas.
No other software has our Oil & Gas Analytics Accelerators, Discovery Analytics methodology and our Oil & Gas-specific expertise in Machine Learning.
We’ve spent more than a decade advancing Oil & Gas analytics and partnering with experts and clients to enhance the entire industry’s capabilities.
With its ease of use, speed of implementation and industry-leading customer support, VERDAZO delivers immediate impact.
VERDAZO can integrate any data source and provide advanced analytics capabilities
that enable diagnostic, multivariate and predictive analyses.
Optimize your development strategies using public data, leverage our auto-forecasting tools, perform competitive analyses, and analyze completion effectiveness. All VERDAZO workflows and templates are embedded with industry best practices.
Get an integrated view on how drilling impacts all aspects of a well’s lifecycle. Explore rig-state KPIs to analyze and compare drilling performance while leveraging detailed drilling information to make better completion decisions.
Optimize completion design with multivariate analysis and compare the completion effectiveness of different technologies and operators.
Optimize production & financial performance by minimizing downtime, reducing its impacts, and improving your ability to hit production targets.
Our Discovery Analytics methodology is the most powerful approach to Oil & Gas analytics and data visualization in the industry. Discovery Analytics creates a sequence of explorations, each predicated on the insights of the last. Other tools are limited by the technical and domain expertise of their creators. VERDAZO enables you to steer your analysis in whatever direction your insights take you.
We can accelerate your use of artificial intelligence to gain a major competitive advantage. Machine Learning leverages 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 understand how it can vastly enhance your analysis capabilities.
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.