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

April 14, 2019 by

Anton Biryukov of Verdazo Analytics places third in global machine learning competition

Verdazo Analytics Data Scientist Anton Biryukov took home third prize in a machine learning competition in March of this year. “Turn up the Zinc” was a crowdsourcing challenge to augment Glencore‘s efforts to predict zinc recovery at their McArthur River mine in Australia. The participants used the Unearthed platform and consisted of 229 global innovators from 17 countries forming 61 teams and submitting 1286 model variations over one month. “The Unearthed platform provides a great opportunity to polish my data science skills, while solving applied problems in the oil and gas and mining industries,” said Anton, who worked on the problem during his spare time. While most contest submissions were team collaborations, Anton chose to tackle the problem with the help of just one junior data resource. “For my team, third prize in this competition means motivation to try harder in the next challenge, plus new doggy treats for Junior Data Analyst Lumi.” Lumi and Anton discuss strategy For more information on “Turn up the Zinc,” click here.

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March 29, 2019 by

Brian Emmerson delivering presentation at Houston Machine Learning in Oil & Gas conference

Verdazo Analytics’ Director of Data Science Brian Emmerson will deliver a presentation titled “Applied Geosciences and Machine Learning – A Case Study from the Spirit River” at the Machine Learning in Oil & Gas conference in Houston, Texas on April 18, 2019. The presentation takes place at 11:45 a.m at the JW Marriott Galleria. Emmerson’s presentation will outline how the integration of geoscience and engineering data can quantify well feature impact and importance. He’ll also outline how delivering usable models can help user adoption and how the application of interpretable machine learning techniques can build trust. This is the fourth annual Machine Learning in Oil and Gas Conference. It takes place April 17-18. To learn more or register, click here.

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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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