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

Claim 7:
8. A non-transitory computer-readable storage medium storing instructions executable by a computer system, the instructions when executed by the computer system cause the computer system to:
extract training data comprising one or more parameters from each aqueous sample of a plurality of aqueous samples, wherein the 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 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.