The best visual analytics
software for Oil & Gas

Target efficiencies. Optimize performance.
Add millions to the bottom line.

Contact Us

Unmatched capabilities and scalability

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.

Visual data discovery

No other software has our Oil & Gas Analytics Accelerators, Discovery Analytics methodology and our Oil & Gas-specific expertise in Machine Learning.

Industry stewardship

We’ve spent more than a decade advancing Oil & Gas analytics and partnering with experts and clients to enhance the entire industry’s capabilities.

Value from day one

With its ease of use, speed of implementation and industry-leading customer support, VERDAZO delivers immediate impact.

Analytics for the entire well life cycle

VERDAZO can integrate any data source and provide advanced analytics capabilities
that enable diagnostic, multivariate and predictive analyses.

Planning

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.

Drilling

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.

Completions

Optimize completion design with multivariate analysis and compare the completion effectiveness of different technologies and operators.

Production & Operations

Optimize production & financial performance by minimizing downtime, reducing its impacts, and improving your ability to hit production targets.

Only VERDAZO offers Discovery Analytics

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.

Machine Learning

Advanced analytics solutions for Oil & Gas

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.

Explore our industry-leading analytics content

Machine Learning: Practical Use in Upstream Oil & Gas

There’s an enormous amount of discussion about the possibilities of Machine Learning but far less practical information about the impacts it can have on Oil & Gas today. In this presentation, we articulate some of most valuable prizes Machine Learning offers for upstream Oil & Gas, including feature importance and sensitivity analysis, and the power of predictive Machine Learning models. The presentation outlines two recent case studies – one focused on reservoir properties and the other focused on drilling and completion optimization – that bring the material to life. This presentation was originally delivered May 31, 2018 as part of the SPE Oil & Gas Breakfast Series in Calgary.

Download Read More

Machine Learning

Predict production performance, reservoir properties and optimize well location & completion design.

Download
May 7, 2018 by

Machine Learning: Is it really a Black Box?

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,...

Read More