Posts by Bertrand

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...

Read More

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.

Read More Download
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.

Read More
May 13, 2019 by

Verdazo Analytics at geoconvention 2019, Calgary

There are three ways to see Verdazo’s team in action at geoconvention 2019 in Calgary. Marcelo Guarido will be presenting Machine Learning Strategies to Perform Facies Classification Tuesday May 14th at 9:00 am in the Glenn Room 206. Verdazo Analytics’ Director of Data Science Brian Emmerson will co-present The Importance of Geoscience in using Machine Learning to Predict and Optimize Well Performance – Case Study from the Spirit River Formation Wednesday May 15th at 10:35 in the Telus Room 104-105. You can also catch members of the Verdazo team at Booth 503 to learn more about our visual analytics and machine learning capabilities.

Read More

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.

Read More Download
November 26, 2018 by

Verdazo Analytics expands Machine Learning Division

Verdazo Analytics added five full-time staff to its team in November in an expansion of its Machine Learning Division. Since launching the division in January 2018, Verdazo Analytics has delivered consulting services to clients and producers, and in partnership with other industry-leading consulting firms. The company has helped the Oil & Gas industry understand and realize the practical benefits offered by Machine Learning in the areas of production performance prediction and completion optimization. The expanded team joins Tyler Schlosser, the company’s Senior Technical Advisor for Machine Learning and Reservoir Engineering. Together, they’ll work on developing Verdazo Analytics’ forthcoming Machine Learning software and helping clients understand and adopt machine learning technologies and methodologies. “A larger, diverse team allows us to respond to the growing interest in leveraging complex datasets to produce valuable insights that contribute to the bottom line” says Verdazo Analytics President Bertrand Groulx. “The success we have enjoyed in our most recent consulting projects has allowed us to craft our technology and processes to extract insights from a broader collection of data.” The new staff bring extensive experience and education across geophysics, geomechanics, reservoir engineering, completions design, drilling, infill programs, enhanced recovery, economics, math, physics and software engineering. Many...

Read More
September 7, 2018 by

Verdazo Analytics exhibiting at the SPE ATCE 2018

Verdazo Analytics will be exhibiting this month at the SPE Annual Technical Conference and Exhibition 2018 in Dallas, TX. Our team invites all conference attendees to drop by booth #229 to learn more about our VERDAZO visual analytics software and our Machine Learning capabilities. ATCE 2018 will feature 350+ technical presentations, special sessions, and networking events for over 8,000 Society of Petroleum Engineer members and other professionals looking for the latest news on current and future technologies to help find and produce hydrocarbons faster, more efficiently, and safely. The conference takes place in Dallas, Texas from September 24-26, 2018. Learn more about ATCE 2018 and register here.

Read More
July 22, 2018 by

Data before delivery: putting the cart before the horse?

I have now heard dozens of stories from friends and colleagues about failed BI and analytics initiatives. They range in costs from hundreds of thousands to tens of millions of dollars. It’s a problem that I see several companies at risk of repeating…and the motivation for today’s blog. A common thread to most of these stories is trying to “fix up our data before we select or implement an analytics tool”. How can anyone possibly understand the data needs, the use cases, and the possible data issues without providing a means to use the data, view the data and identify issues? It’s like trying to anticipate what part of a car a mechanic should fix without test driving it first. Consider starting with the data you have, take it for a test drive. See how the business wants to use it and evolve your data quality and architectural initiatives incrementally. You’ll realize value on the way and better focus your efforts. Why do they fail? Lack of focus: Hyped up terms like “big data”, “data lakes” and “cloud” distract us from the pragmatic task of delivering information ­­­— getting reliable, current information into the hands of business users in a form...

Read More
April 26, 2018 by

Bertrand Groulx teaching course on advanced analytics for SPEE

Verdazo Analytics President Bertrand Groulx is teaching a course on statistics and analytics titled “Uncertainty Characterization, Statistical & Aggregation Principles and Advanced Analytic Methods” for the Society of Petroleum Evaluation Engineers (SPEE) in Carlsbad, California. The presentation is part of the 55th annual SPEE conference which takes place at the Park Hyatt Aviara on June 2-5, 2018. Groulx will share the podium with co-presenter Jim Gouveia of Rose & Associates. Their course will provide a solid background for professionals in the application of Statistics, Uncertainty and Aggregation Principles to their evaluations. At the end of this course, participants should have an intermediate understanding of estimating under uncertainty, basic statistics & aggregation principles, advanced analytic methods and selected best practices in production type well curve development. Groulx and Gouveia’s course takes place on Saturday, June 2 and runs the full day from 8 a.m. to 5 p.m. Learn more about the conference agenda and register here.  

Read More
April 26, 2018 by

Tyler Schlosser presenting on Machine Learning for SPE

Verdazo Analytics’ Chief Data Scientist Tyler Schlosser will deliver a presentation titled “Machine Learning: Practical Examples in Upstream Oil & Gas” for the Society of Petroleum Engineers (SPE). The presentation takes place from 7:30-9:30 a.m. on May 31, 2018 as part of the SPE’s Oil & Gas Analytics Breakfast Series. The presentation will provide a quick overview of Machine Learning, how it can be applied to Oil & Gas problems with a focus on time-to-value, the challenges it presents, and specific case studies to illustrate its power. Schlosser was recently appointed Chief Data Scientist at Verdazo Analytics after over a decade of experience across Oil & Gas, mostly recently as Director of Economics and Risk at GLJ Petroleum Consultants. Learn more about the presentation and register here.  

Read More