A machine learning based approach to well test analysis

A system comprising:

• a computer processor;
• and
• instructions executing on the computer processor causing the system to:
• obtain query pressure transient analysis (PTA) data from a well associated with a reservoir;
• obtain a selected class of physics models from a plurality of classes of physics models using a first machine learning model operating on the query PTA data,
• wherein a physics model in at least one of the plurality of classes of physics models comprises a well model and a reservoir model, and
• wherein the well model and the reservoir model are parameterized with model parameters having model parameter values;
• obtain a plurality of model parameter value estimates to form a parameterized query physics model of the selected class of physics models, using a second machine learning model operating on the query PTA data;
• and
• provide the parameterized query physics model to a user.