Model-driven surveillance and diagnostics

A system to perform diagnostic of hydrocarbon production in a field, comprising:

• a wellsite and a surface facility in the field for performing the hydrocarbon production;
• a surveillance and diagnostics computer system, comprising:
• a model generator executing on a computer processor configured to:
• generate a thermal-hydraulic production system model of the wellsite and the surface facility in the field, and
• an analysis engine executing on a computer processor and configured to:
• simulate, using the thermal-hydraulic production system model and based on a plurality of root causes, a hydrocarbon production problem to generate a plurality of feature vectors corresponding to the plurality of root causes,
• wherein each of the plurality of feature vectors comprises a plurality of parameter values corresponding to a plurality of physical parameters associated with the hydrocarbon production, and
• configure, using the plurality of feature vectors, a classifier of the hydrocarbon production problem,
• wherein the classifier executes on a computer processor and is further configured to:
• classify the hydrocarbon production problem according to the plurality of root causes,
• detect the hydrocarbon production problem in the field,
• analyze, in response to detecting the hydrocarbon production problem, surveillance data from the wellsite and the surface facility to identify a root cause of the plurality of root causes, and
• present the root cause to a user;
• and
• a repository configured to store the surveillance data and the thermal-hydraulic production system model.

A non-transitory computer readable medium comprising instructions to perform diagnostic of hydrocarbon production in a field, the instructions when executed by a computer processor comprising functionality for:

• generating a thermal-hydraulic production system model of a wellsite and a surface facility in the field;
• simulating, by a computer processor, using the thermal-hydraulic production system model, and based on a plurality of root causes, a hydrocarbon production problem to generate a plurality of feature vectors corresponding to the plurality of root causes,
• wherein each of the plurality of feature vectors comprises a plurality of parameter values corresponding to a plurality of physical parameters associated with the hydrocarbon production;
• configuring, using the plurality of feature vectors, a classifier of the hydrocarbon production problem,
• wherein the classifier is configured to classify the hydrocarbon production problem according to the plurality of root causes;
• detecting the hydrocarbon production problem in the field;
• analyzing, by the computer processor, using the classifier, and in response to detecting the hydrocarbon production problem, surveillance data from the wellsite and the surface facility to identify a root cause of the plurality of root causes;
• and
• presenting the root cause to a user.