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What AI companies build with oil and gas operators data

By SourceX Editorial · Updated

Short answer

AI companies use oil and gas operators data to build predictive maintenance, production optimization and inspection models. The most useful records are drilling and production logs, maintenance work orders, inspection records and sensor data, because they show how real work in the field gets done.

Predictive maintenance#

Models for predictive maintenance learn from real examples of the work, such as drilling and production logs and maintenance work orders, prepared with personal details removed.

Production optimization#

Models for production optimization learn from real examples of the work, such as drilling and production logs and maintenance work orders, prepared with personal details removed.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Inspection models#

Models for inspection models learn from real examples of the work, such as drilling and production logs and maintenance work orders, prepared with personal details removed.

How your records get there#

SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.

Frequently asked questions

Will AI built from our data compete with us?

Licenses can limit uses and buyers. Raise it during the rights review.

Related resources

See if your company qualifies

A short company assessment. No data uploads are needed.

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