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 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

Spirit River Machine Learning Study

This machine learning study incorporates GLJ’s consistent petrophysical evaluation of the entire Spirit River play. Coupled with production and completion information, this geoscience data equips Verdazo’s machine learning team & technology to deliver a predictive model, robust interpretive visualizations, and tools that can help explain, feature by feature, the drivers of production performance for each well. This presentation provides an overview of this study and was presented at the SPE Subsurface Analytics Workshop on February 27th, 2019. If you would like to learn more about purchasing the detailed Spirit River machine learning study and predictive model click here.

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February 20, 2019 by

Brian Emmerson speaking on SPE panel on subsurface analytics

Verdazo Analytics Director of Data Science Brian Emmerson is a featured speaker at a panel on subsurface analytics at the upcoming Society for Petroleum Engineers (SPE) Subsurface Data Analytics workshop on February 27, 2019 at The Bow in Calgary. The panel, titled “An In-Depth Discussion on Subsurface Analytics,” also features Louis Fabbi of Fabi Analytics, David Fulford of Apache Corporation and Christopher Petr of CNOOC International. Verdazo Analytics President Bertrand Groulx will co-moderate the panel. The panel will explore the successes, challenges and opportunities the future of subsurface data analytics holds, including existing datasets that are underutilized in the industry and how to overcome obstacles to leverage them using new and evolving technologies. The panel takes place from 4:00-5:00 p.m. on February 26-27 at The Bow in Calgary. To register for the workshop or for more information, click here.

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February 20, 2019 by

Bertrand Groulx presenting machine learning case study at SPE workshop

Verdazo Analytics President Bertrand Groulx will present a machine learning case study at the Society for Petroleum Engineers (SPE) Subsurface Data Analytics workshop on February 27, 2019 at The Bow in Calgary. The case study utilizes GLJ Petroleum Consultants’ Spirit River regional geologic study and incorporates both geoscience and engineering data to characterize which geological, reservoir and completion data contribute most significantly to well production performance. John Hirschmiller of GLJ will join Groulx for the presentation. As part of the presentation, Groulx will outline how machine learning models provide objective, analytical means to interpret large, complex datasets. The presentation will provide interested parties with practical applications of machine learning, particularly for assessing the commercial viability of resource development, optimizing completion designs and informing reserves evaluations. Groulx’s presentation takes place from 8:00-9:30 a.m on February 27th. The SPE workshop takes place February 26-27 at The Bow in Calgary. To register or for more information, click here.

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