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

Claim 0:
1. A method comprising:
extracting, using a computer system, 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 respective hydrocarbon well of a plurality of hydrocarbon wells;
classifying, using the computer system, the training data in accordance with hydrocarbon production conditions of each hydrocarbon well;
labeling, using the computer system, 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;
determining, using the computer system, 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, wherein the feature vector is indicative of whether the respective hydrocarbon well contains calcium carbonate scale; and
generating, using the computer system, 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.