To implement AI, a prior data collection process is necessary.
This immense amount of data is necessary to "teach" AI. Then new storage systems must be implemented that allow the accumulation of immense amounts of information. These systems already exist: deep data, machine learning.

In order to have AI systems applied to the oil industry, all data from that immense number of sensors that exist in drilling and production facilities must be stored and processed.

For example:
A Software with name Knowledge Platform has been developed that helps to make informed decisions, the algorithms of the knowledge platform can interpret data, searching the database of platforms in search of similar patterns. You can also reduce overall costs and optimize operations.

Interesting post Thanks for sharing.