Method and system for controlling a multi-stage wireline operation in a well

A system for controlling a multi-stage wireline operation in a well, the system comprising:

• a sensor system comprising one or more sensors for generating measured wireline data, comprising one or more of measured wireline tension and speed during the wireline operation and
• at least one non-transitory memory storing instructions, which when executed by at least one processor, configures the at least one processor to execute a method comprising:
• applying an initial stage machine learning model to generate predictions for optimized wireline parameters, for a first stage of the multi stage wireline operation,
• wherein the optimized wireline parameters comprise one or more of an optimized speed and tension, for deploying a wireline inside the well during the first stage;
• monitoring, using the sensor system, deployment of the wireline during the first stage, to generate the measured wireline data;
• and
• training a later stages machine learning model using the optimized wireline parameters and measured wireline data from the first stage,
• wherein the later stages machine learning model is configured to generate predictions for the optimized wireline parameters for each a subsequent stage of the wireline operation.