Artificial intelligence for energy saving in oil exploitation

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Challenge safe energy

From the manipulation of wells in the field, improve EBITDA per barrel in oil extraction activities, particularly focused on the optimal combination of water and oil.

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Solution

Grupodot’s multidisciplinary team managed to design and implement an applied artificial intelligence model that allows the prediction, with data, of the water cut of an oil field.

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Results for energy saving in oil extraction

  • We obtained precision of more than 90% in 50% of the wells analyzed.
  • We met the challenge by successfully predicting water cut for wells in an oil field.
  • A First operational frequency control strategy in the entire field, based on the forecast model.
  • Well categorization based on petrophysical properties.
  • We achieved the first version of the centralized data repository for production and operations.
  • We did the first assessment of the opportunities and needs related to data acquisition, loading, integration and transformation of any project.
  • All teams can use the well categorization model, using an approach based on production characteristics such as BSW / WOR, rather than geographic well separations.
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Business impact for oil extraction

In less than 7 months of work, we achieved:

  • Optimize related to BSW (Bulk Sediment and Water) measures.
  • Categorize wells into different types for agile decision making.
  • Improve profit per barrel and energy expenditure, by reducing the operating frequency without affecting production.
  • Group Improve profit per barrel and energy expenditure, by reducing the operating frequency without affecting production.
  • Identify well characteristics in their production behavior.
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