Patent ID: 11867027
Assignee: SAUDI ARABIAN OIL COMPANY
Field: Measurement (Instruments)
Classification: CPC E  C  G | IPC C  E  G

Claim 14:
15. A computer system comprising:
one or more computer processors; and
a non-transitory computer-readable storage medium storing instructions executable by the one or more computer processors, the instructions when executed by the one or more computer processors cause the one or more computer processors to:
extract training data comprising one or more parameters from each aqueous sample of a plurality of aqueous samples, wherein each aqueous sample includes a fluid and is collected from a different hydrocarbon well of a plurality of hydrocarbon wells;
classify the training data in accordance with hydrocarbon production conditions of each hydrocarbon well of the plurality of hydrocarbon wells;
label the classified training data in accordance with whether calcium carbonate scale has formed in each aqueous sample of the plurality of aqueous samples within a particular time period;
determine a feature vector from the labeled, classified training data based on the one or more parameters extracted from the each aqueous sample of the plurality of aqueous samples; and
generate a trained machine learning model, wherein the machine learning model is trained based on the feature vector, to predict a number of hydrocarbon wells of the plurality of hydrocarbon wells containing calcium carbonate scale within the particular time period.