Patent ID: 11867604
Assignee: SAUDI ARABIAN OIL COMPANY
Field: Measurement (Instruments)
Classification: CPC E  G | IPC G

Claim 14:
15. A computer-implemented system, comprising:
a database, wherein the database contains historical mud gas-permeability data from plural wells;
a machine learning module configured to generate, using machine learning and the database, formation hydrocarbon mobility models;
one or more processors; and
a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations of the machine learning module comprising:
receiving historical mud gas-permeability data from previously-drilled wells, wherein the historical mud gas-permeability data identifies relationships between mud gas measurements obtained during drilling and permeability determined after drilling;
training, using machine learning and the historical mud gas-permeability data, a formation hydrocarbon mobility model;
receiving real-time mud gas measurements obtained during drilling of a new well; and
establishing, using the machine learning and permeability of previously drilled wells, a nonlinear relationship between the historical mud gas measurements and the historical mud gas-permeability data; and
generating, using the formation hydrocarbon mobility model, the nonlinear relationship, and the real-time mud gas measurements, a real-time permeability log for the new well, wherein the real-time permeability log includes a graph displaying, in real-time within a few seconds of receiving the real-time mud gas measurements obtained during drilling of the new well, a permeability plot of the new well, wherein the permeability plot provides permeability estimates relative to a drilling depth of the new well.