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Well Completions

Analyzing Vista’s Record-Setting Vaca Muerta Wells with Oil and Gas Machine Learning Models

August 26, 2020

Machine learning in oil and gas model showing SHAP values (colored bars), and baseline production expectation (gray) for Vista Pad 3, including the record setting wells (MDM-2061 and MDM-2063).

After the Great Coronavirus Shut-In, Vista Oil & Gas turned back on their new Vaca Muerta pad. A pleasant surprise greeted them. Their oil and gas machine learning model showed the highest production the play had ever seen. Both the MDM-2063 and MDM-2061 wells produced over 2,000 bbl/d on average for the month, with peak […]

Filed Under: Well Completions, Well Designs, Machine Learning in Oil and Gas Blog

The Changing Impact of Oil Well Design Completions Through Time: URTeC 2020 Novi Paper Summary

June 26, 2020

Average SHAP Value to forecast oilfield completions

“Upsizing well completions increase production 37.5%*!!!” Sure, but when? Where that asterisk lands will have a huge impact on the returns of oil well design completions. If it’s Peak Rate, that might shorten payback. If it’s EUR — now you might have a real valuable well. Oil and gas machine learning models can be trained […]

Filed Under: Predictive Analytics, Well Completions, Well Designs, Machine Learning in Oil and Gas Blog, Conference Presentations

change of plans: how QEP could optimize returns in their Midland asset in a low-price environment

March 19, 2020

Should QEP change its development strategy in this lower price environment? Using our machine learning models and Novi software we analyzed QEP’s Midland Asset development plans to determine the best plan going forward. Based on evaluation of the data, QEP should consider: Downsizing completion designs in primary zones. Discontinuing development of non-core zones. How much […]

Filed Under: Well Completions, Machine Learning in Oil and Gas Blog Tagged With: QEP, Midland, Permian, Prediction Engine, Masters Series

oil and gas well spacing and completions: untangling complex interactions with machine learning

February 20, 2020

How much of the oil & gas industry’s recent underperformance comes from misapplication of large completions designs with tight spacing configurations?

Filed Under: Well Completions, Machine Learning in Oil and Gas Blog

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Recent posts

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December 16, 2020

Machine Learning Regional Profiles for Geologic Insights: Mapping Unconventional Production Drivers in the Williston Basin

December 14, 2020

Investing in Shale Oil and Gas Wells: Are you the House or the Player?

November 17, 2020

Analyzing Vista’s Record-Setting Vaca Muerta Wells with Oil and Gas Machine Learning Models

August 26, 2020

Making sense of it all: extracting actionable core-data from pXRF using PCA and K-means cluster analysis

August 7, 2020

Novi geoSHAP – estimating rock quality using SHAP values in machine learning models: URTeC 2020 Novi Paper Summary

July 14, 2020

Water, water everywhere: oil well water analysis with machine learning models to improve produced water forecasts in the Williston Basin: URTeC 2020 Novi Paper Summary

July 6, 2020

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