Borehole monitoring and interpretation using ai

A method, comprising:

• receiving input parameters and receiving one or more outputs from borehole monitoring systems, wherein the one or more outputs are information graphics and the borehole monitoring systems produce the one or more outputs from data collected from one or more sensors located downhole a borehole and at a surface of the borehole while the borehole is undergoing a borehole operation;
• analyzing the one or more outputs using a machine learning system to execute a previously trained borehole operation monitor model to determine parameters for one or more events occurring during the borehole operation, wherein the machine learning system previously trained the borehole operation monitor model using previously received information graphics received from other monitoring systems;
• modifying, automatically, a borehole operation analyzer with an output from the analyzing, where the borehole operation analyzer is monitoring the borehole operation;
• generating a result from the borehole operation analyzer, wherein the result is one of a message, a warning, an alert, or a recommendation, and the parameters of the one or more events;
• and
• communicating the result to a user or a borehole system.

A borehole operation monitor model system, comprising:

• a data transceiver, capable of receiving input parameters and receiving outputs from at least one information graphic from one or more borehole monitoring systems, wherein the borehole monitoring systems receive input from one and more sensors located at a surface of a borehole or located downhole the borehole;
• a borehole operation monitor model, as implemented using machine learning system, capable of communicating with the data transceiver and analyzing, using one or more thresholds, the outputs from the at least one information graphic for one or more events of a borehole operation being performed at the borehole;
• and
• a borehole operation analyzer, automatically updated using the borehole operation monitor model, configured to determine one or more parameters for the one or more events including a probability of occurrence over a specified time interval, and generating a result to be communicated, wherein the result is a message, warning, alert, or recommendation.

A non-transitory computer program product having a series of operating instructions stored on a non-transitory computer-readable medium that directs operations, the operations comprising:

• receiving input parameters and receiving one or more outputs from borehole monitoring systems, wherein the one or more outputs are information graphics and the borehole monitoring systems produce the one or more outputs from data collected from one or more sensors located downhole a borehole and at a surface of the borehole while the borehole is undergoing a borehole operation;
• analyzing the one or more outputs using a machine learning system to execute a previously trained borehole operation monitor model to determine parameters for one or more events occurring during the borehole operation, wherein the machine learning system uses the information graphics to identify analyzed events, through applying one or more thresholds, for which messaging is to be produced;
• modifying, automatically, a borehole operation analyzer with an output from the analyzing, where the borehole operation analyzer is monitoring the borehole operation;
• generating a result from the borehole operation analyzer, wherein the result is one of a message, a warning, an alert, or a recommendation, and parameters of the one or more events;
• and
• communicating the result to a user or a borehole system.