Saudi Arabian Oil Company

Guadalupe Adrian Buenrostro Mendoza

Ayman Raja Al-Nakhli

Waheed Syed Arshad

Moataz Mohammad Alharbi

Hussain A Saeed

A method may include generating a first well intervention plan for a well site automatically based on a predetermined scheduling criterion. The first well intervention plan is generated using a first set of data inputs regarding one or more well intervention providers and one or more well conditions. The method may further include obtaining first well data regarding the well site. The method may further include adjusting the predetermined scheduling criterion to produce an adjusted scheduling criterion using the first well data. The adjusted scheduling criterion corresponds to a second set of data inputs that are different from the first set of data inputs. The method may further include generating a second well intervention plan for the well site based on the adjusted scheduling criterion. The method may further include transmitting a command to the well site that adjusts well operations based on the second well intervention plan.

Method and system using machine learning for well operations and logistics

Petroleum may be recovered from a sub-surface reservoir by reducing the break-down pressure of a geological formation from an original break-down pressure to a reduced break-down pressure by exothermically reacting one or more reaction components in a carrier fluid adjacent to or within the geological formation, and forming fractures in the geological formation by hydraulic fracturing the geological formation.

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Udailiyah, Saudi Arabia

Guadalupe Adrian Buenrostro Mendoza