The best visual analytics
software for Oil & Gas

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

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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 BI delivers immediate impact.

Analytics for the entire well life cycle

Verdazo BI 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 BI 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 BI 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 BI 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: Usability, Stability & Interpretability

Machine learning in the Oil & Gas industry has met with varied success and no shortage of hype.  Barriers to success in the industry include data challenges, inflated expectations, and a lack of trust from those who stand to benefit from its results.  In this presentation, we will be showing the bulk of our Spirit River Study from the SPE Subsurface Workshop, plus a whole lot more.  We will explore trust-building approaches that include feature selection, interpretive visualizations, stability considerations, “What’s a good R2?”, and a Man vs Machine simulation.  In the simulation, we compare traditional type-curve generation approaches with those based on machine learning models, using data from the Marcellus.

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June 17, 2019 by

Bertrand Groulx presenting on machine learning at Calgary Petroleum Club

Verdazo Analytics President Bertrand Groulx will deliver a presentation on machine learning for the Society of Petroleum Engineers (SPE) on June 25 at the Calgary Petroleum Club. The presentation is titled “Machine Learning: Usability, Stability & Interpretability.” Groulx is co-presenting with John Hirschmiller from GLJ Petroleum Consultants. During a fast-paced and engaging presentation, Groulx and Hirschmiller will show the bulk of their Spirit River Study from the SPE Subsurface Workshop. They’ll also explore trust-building approaches that include feature selection, interpretive visualizations, stability considerations, “What’s a good R2?”, and a Man vs. Machine simulation. The presentation takes place from 11:30 a.m.-1:00 p.m. To learn more about the presentation or to register, click here.

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May 31, 2019 by

Brian Emmerson delivering talk on machine learning for Darcy Partners in Houston

Verdazo Analytics’ Director of Data Science Brian Emmerson will deliver a talk on interpretable machine learning techniques in Houston, Texas on June 5th. The one-day forum is presented by Darcy Partners and is focused on analytics and the internet-of-things. Brian’s talk will focus on the ability of robust visualization techniques to investigate machine learning model predictions, with examples from North American unconventional resource plays. To learn more about the conference or to register, click here.

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