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Missed Pay Analysis

Combining Machine Learning and Petrophysical evaluation to predict migratory gas.

About the project

2022
The Netherlands
Machine Learning
Petrophysics

The Missed Pay Analysis – Machine Learning study, aimed at identifying the existence of mobile gas in the Rotliegend Formation in more than 200 wells classified as “Dry” or “Oil/Gas Shows” using Machine Learning. Wells are from the Dutch part of the South Permian Basin. A training dataset of 25 wells were identified by EBN B.V. and used to build a high-quality database of input logs for the machine learning development. Data quality assurance of petrophysical evaluations was done identifying the parameters to be predicted giving rise to good model predictions.

Curious about this project?

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Tina

Rasmussen

Senior Geoscientist