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.

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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

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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