Abstract: In modeling passage of an elongate well tool through an interval of a well an adaptive machine learning model executed on a computing system receives a first set of inputs representing a plurality of characteristics of the well tool and a second set of inputs representing a plurality of characteristics of the well. The adaptive machine learning model also receives historical data representing a plurality of other well tools passed through a plurality of other wells and a plurality of characteristics of the other well tools and the other wells. The adaptive machine learning model matches the historical data with at least a portion of the first and second sets of inputs, and determines, based on the matching whether the well tool can pass through the interval of the well.

Abstract: In modeling passage of an elongate well tool through a well, a computing system receives inputs representing a plurality of geometric characteristics of the well tool including three dimensional surface data characterizing the shape of outwardly facing, lateral surfaces of the well tool. The computing system also receives inputs representing a plurality of geometric characteristics of the well. The computing system determines a prediction of the force to pass the well tool through at least a portion of the well based on a comparison of the three dimensional surface data of the well tool and the plurality of geometric characteristics of the well.

Abstract: In modeling operation of a well tool in applying a force to a device in a well, a computing system receives inputs representing a plurality of geometric characteristics of the well tool. The computing system also receives inputs representing a plurality of geometric characteristics of the well. The computing system determines based on the geometric characteristics of the well tool and the well, a predicted reaction force on a portion of the well tool that affects operation of the well tool in applying force to the device. The predicted reaction force is due to contact between a surface associated with the well tool and a surface of the well.

Abstract: In modeling operation of a well tool in applying a force to a device in a well, a computing system receives inputs representing a plurality of geometric characteristics of the well tool. The computing system also receives inputs representing a plurality of geometric characteristics of the well. The computing system determines based on the geometric characteristics of the well tool and the well, a predicted reaction force on a portion of the well tool that affects operation of the well tool in applying force to the device. The predicted reaction force is due to contact between a surface associated with the well tool and a surface of the well.

Abstract: In modeling passage of an elongate well tool through an interval of a well an adaptive machine learning model executed on a computing system receives a first set of inputs representing a plurality of characteristics of the well tool and a second set of inputs representing a plurality of characteristics of the well. The adaptive machine learning model also receives historical data representing a plurality of other well tools passed through a plurality of other wells and a plurality of characteristics of the other well tools and the other wells. The adaptive machine learning model matches the historical data with at least a portion of the first and second sets of inputs, and determines, based on the matching whether the well tool can pass through the interval of the well.

Abstract: In modeling passage of an elongate well tool through a well, a computing system receives inputs representing a plurality of geometric characteristics of the well tool including three dimensional surface data characterizing the shape of outwardly facing, lateral surfaces of the well tool. The computing system also receives inputs representing a plurality of geometric characteristics of the well. The computing system determines a prediction of the force to pass the well tool through at least a portion of the well based on a comparison of the three dimensional surface data of the well tool and the plurality of geometric characteristics of the well.