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.

Explore our industry-leading analytics content

September 10, 2019 by

GLJ Acquires Verdazo’s Machine Learning Technology & Consulting Practice

GLJ Petroleum Consultants has acquired the machine learning technology, software and consulting practice from Verdazo Analytics. Verdazo will continue to focus on its Business Intelligence software and services, and support clients by serving up machine-learning-ready data. In a recent partnership with GLJ on the Spirit River Machine Learning Study, it became increasingly evident that the need for consistent regional geoscience analysis was a challenge for most producers, particularly given staff reductions in a challenging commodity market. GLJ is well equipped to support companies who need a depth and breadth of geotechnical expertise to integrate into their reserves, development and completion optimization efforts. “The biggest opportunity in the industry to leverage machine learning is also its greatest obstacle… you need consistent regional geological interpretations to take advantage of machine learning’s ability to build understanding and inform completion optimization opportunities.” said Bertrand Groulx, President of Verdazo Analytics. “The breadth and depth of GLJ’s engineering and geotechnical expertise can really help companies accelerate new insights and capital efficiencies.” “Acquiring the machine learning software and methodologies from Verdazo gives GLJ a head start in incorporating machine learning technology into our reserves workflow, fully considering the impact that geology, reservoir and completions collectively have on...

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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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