Engineers & Operations

  • No more time-consuming or broken spreadsheets
  • Save the time, effort and cost of building your own tool
  • Incorporate all your Oil & Gas data sources
  • Do effective analysis from day one
  • Speed up your analysis with vast pre-built capabilities
  • Includes our Discovery Analytics methodology & workflows
  • Purpose-built for Oil & Gas
  • Embedded with industry experience, expertise & best practices

Senior Management

  • Targets efficiencies
  • Optimizes corporate performance
  • Adds millions to your bottom line
  • Creates alignment between people, processes, and data
  • Delivers value from day one
  • Catalyzes innovation across your organization
  • Purpose-built for Oil & Gas
  • Creates a culture of analytics

IT Managers

  • Delivers consistent, reliable information
  • Centralized business logic
  • Provides enterprise-level scalability
  • Offers an open, configurable environment
  • Rapid implementation saves time and money
  • Flexible licensing structure
  • Purpose-built for Oil & Gas
  • Not a build-it-yourself toolkit

Analytics for the entire well lifecycle

Planning

Drilling

Completions

Production & Operations

Planning

Optimize your development strategies and corporate value

  • Use public data to understand evolution of plays and technology.
  • Perform competitor analyses and leverage best practices for type curves, completion design and statistical methods.
  • Scrutinize data quickly, easily and visually.

Drilling

Get an integrated view on how drilling impacts all aspects of a well’s lifecycle

  • Use rig-state KPI’s to compare current and historical drilling activities to identify optimization opportunities.
  • Leverage drilling data to inform completion design.
  • Integrate multiple data sources to get a holistic view of drilling impacts on value.

Completions

Optimize your completion design with multivariate analysis

  • Compare different operators’ completion techniques to refine your approach.
  • Better understand the impacts of technology & design on production.
  • Leverage our Machine Learning expertise to better understand & optimize completion designs.

Production & Operations

Optimize your production and operational performance

  • Minimize your downtime and reduce its impacts.
  • Improve your ability to hit production targets.
  • Perform more effective well reviews with integrated financial performance analysis.
  • Enhance collaboration between the field and head office.

Only Verdazo BI offers Discovery Analytics

Our Discovery Analytics methodology is the most powerful approach to Oil & Gas analytics in the industry. Discovery Analytics enables 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 solutions for Oil & Gas

Verdazo AI enables Oil & Gas companies to gain deeper understanding, from the subsurface to completions optimization. Our transparent, pragmatic approach delivers applications you can use, in weeks rather than months or years.

Learn more

Key Applications

  • Identify and quantify which inputs matter most for specific outcomes
  • Determine dependencies between model inputs
  • Develop predictive models with complex data
  • Optimize completion designs

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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