Abstract: Aspects of the disclosure provide for automated well intervention planning. An automated well intervention planning system includes one or more memories storing computer executable code. The system includes a user interface configured to receive inputs from a user, the input including at least one or more well intervention objectives and one or more well conditions. The system includes one or more processors configured to execute the computer executable code. The one or more processors are configured to search a database for one or more well intervention plans associated the one or more well intervention objectives and the one or more well conditions and generate a well intervention plan based on the one or more well intervention plans.

Abstract: Embodiments presented provide for modeling of wireline runs for hydrocarbon recovery operations. In embodiments, a run duration of wireline activities is split into a winch duration and a pass duration, wherein the pass duration is calculated using a machine learning model.