Case Study: BP achieves faster, more accurate recovery factor forecasts with Microsoft Corporation Azure Machine Learning

BP has a new AI tool for drilling into data and it’s fuelling smarter decisions

BP, a large UK energy company, needed a faster and less biased way to predict recovery factor from complex geological data. Using Microsoft Corporation’s Azure Machine Learning, BP’s data scientists were trying to improve the accuracy of forecasting for decisions that can be worth billions, while reducing the weeks of manual model testing traditionally required.

Microsoft Corporation implemented Azure Machine Learning with automated machine learning so BP could run many algorithms and parameter combinations with just one line of code. The solution cut model development time from weeks to days or hours, improved data scientist productivity, and delivered a production model now used daily by hundreds of BP subject matter experts worldwide.

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