Wellbore leak determination

A non-transitory computer-readable storage medium storing instructions executable by one or more computer processors, the instructions when executed by the one or more computer processors cause the one or more computer processors to:

• receive data obtained from a plurality of hydrocarbon wells, the data comprising:
• a first plurality of downhole temperature logs recorded before detection of one or more wellbore leaks in the plurality of hydrocarbon wells;
• and
• a second plurality of downhole temperature logs recorded after detection of the one or more wellbore leaks;
• extract a plurality of features from the data to generate an N-dimensional feature space;
• perform dimensionality reduction on the N-dimensional feature space to generate an M-dimensional feature space, wherein M is less than N;
• and
• generate one or more machine learning models trained to determine the one or more wellbore leaks in the plurality of hydrocarbon wells based on the M-dimensional feature space.

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:
• receive data obtained from a plurality of hydrocarbon wells, the data comprising:
• a first plurality of downhole temperature logs recorded before detection of one or more wellbore leaks in the plurality of hydrocarbon wells;
• and
• a second plurality of downhole temperature logs recorded after detection of the one or more wellbore leaks;
• extract a plurality of features from the data to generate an N-dimensional feature space;
• perform dimensionality reduction on the N-dimensional feature space to generate an M-dimensional feature space, wherein M is less than N;
• and
• generate one or more machine learning models trained to determine the one or more wellbore leaks in the plurality of hydrocarbon wells based on the M-dimensional feature space.